Image processing device, printing system, image processing method, method of producing wallpaper, and program

Abstract

To enable generation of a wallpaper image that will be in harmony with an existing wallpaper.SOLUTION: An image processing device is provided, comprising an acquisition unit for acquiring a first image obtained by photographing a wall paper and measurement information obtained by measuring the wallpaper, an analysis unit for analyzing deterioration of the wallpaper based on the measurement information, and a generation unit for generating a second image by removing the deterioration from the first image.SELECTED DRAWING: Figure 11

Description

[Technical field]

[0001] The present invention relates to an image processing device, a printing system, an image processing method, a wallpaper manufacturing method, and a program. [Background technology]

[0002] There is a known technology for printing an image that reproduces an existing wallpaper in order to repair stains or scratches on the wallpaper. For example, Patent Document 1 discloses a printing device that can directly print on areas that cannot be printed on by feeding paper, such as scratches on wallpaper in a residence. The printing device disclosed in Patent Document 1 processes an image including the printing area of ​​the printing object and a marker attached to the printing object to create print data, and executes printing on the printing area of ​​the printing object based on the print data by referring to the position of the marker. Summary of the Invention [Problem to be solved by the invention]

[0003] However, the conventional technology does not take into consideration the deterioration that occurs in wallpaper that has been used for many years. When a part of wallpaper that has deteriorated over time is replaced with new wallpaper, the difference between the presence and absence of deterioration is easily visible, and the appearance may become unnatural.

[0004] In view of the above technical problems, an embodiment of the present invention has an object to generate a wallpaper image that blends in with existing wallpaper. [Means for solving the problem]

[0005] An image processing device according to one embodiment of the present invention includes an acquisition unit that acquires a first image of a wallpaper and measurement information obtained by measuring the wallpaper, an analysis unit that analyzes deterioration that has occurred in the wallpaper based on the measurement information, and a generation unit that generates a second image in which the deterioration has been removed from the first image. Effect of the Invention

[0006] According to one embodiment of the present invention, wallpaper images can be generated that blend in with existing wallpaper. [Brief description of the drawings]

[0007] [Figure 1] FIG. 1 illustrates an example of a usage scene of a printed matter according to an embodiment. [Diagram 2] FIG. 1 illustrates an example of a usage scene of a printed matter according to an embodiment. [Diagram 3] FIG. 1 illustrates an example of a usage scene of a printed matter according to an embodiment. [Figure 4] FIG. 1 is a schematic diagram illustrating an example of an overall configuration of a printing system according to an embodiment. [Diagram 5] 1 is a perspective view showing the inside of a printing device according to an embodiment; [Figure 6] FIG. 1 is a top view illustrating an example of a configuration of a printing apparatus according to an embodiment. [Figure 7] FIG. 2 is a diagram illustrating an example of the configuration of a carriage according to an embodiment. [Figure 8] FIG. 1 is a side view illustrating an example of a configuration of a printing apparatus according to an embodiment. [Figure 9] FIG. 2 is a block diagram showing an example of a hardware configuration of a control device according to an embodiment. [Figure 10] FIG. 2 is a block diagram illustrating an example of a hardware configuration of a computer according to an embodiment. [Figure 11] FIG. 2 is a block diagram illustrating an example of a functional configuration of a printing system according to an embodiment. [Figure 12] 2 is a block diagram showing an example of functional configurations of an analysis unit, a learning unit, and a generation unit in an embodiment. FIG. [Figure 13] FIG. 4 is a diagram illustrating an example of a deterioration amount calculation rule according to an embodiment. [Figure 14] FIG. 11 is a sequence diagram showing an example of a method for manufacturing wallpaper according to an embodiment. [Figure 15] 11 is a flowchart illustrating an example of an analysis process according to an embodiment. [Figure 16]11 is a flowchart illustrating an example of a learning process according to an embodiment. [Figure 17] 11 is a flowchart illustrating an example of a generation process according to an embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0008] Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. In the drawings, components having the same functions are given the same reference numbers, and duplicated explanations will be omitted.

[0009] [Embodiment] One embodiment of the present invention is a printing system that can be used to manufacture wallpaper. The printing system in this embodiment has a function of printing wallpaper that reproduces an existing wallpaper. Wallpaper printed by the printing system in this embodiment can be used, for example, to repair the existing wallpaper.

[0010] It is known that wallpaper used for many years deteriorates over time. The deterioration caused by wallpaper over time includes deterioration due to exposure to ultraviolet rays (hereinafter also referred to as "ultraviolet deterioration") and deterioration due to wear and tear (hereinafter also simply referred to as "wear and tear"). UV deterioration includes, for example, discoloration due to sunburn and surface hardening due to heat. Wear and tear includes staining or damage. Examples of staining include stains caused by fingerprints, mold, stains caused by cigarette smoke, stains caused by cooking oil or seasonings, etc. Examples of damage include cuts caused by sharp objects such as knives, and deformations caused by furniture or the like sticking to the wall.

[0011] When wallpaper is used for many years, stains or scratches that require repair may occur. In this case, if only the areas with stains or scratches are repaired, differences due to deterioration over time will appear between the repaired areas where the wallpaper has been replaced and the other areas that have not been repaired. In particular, the color change due to deterioration over time is easily visible at the boundary between the repaired areas and the other areas, which often results in an unnatural appearance.

[0012] When repairing wallpaper, there are methods such as replacing the entire wallpaper with a wallpaper of the same type as the existing wallpaper, or cutting out an inconspicuous part of the existing wallpaper and pasting it. In addition, as disclosed in Patent Document 1, there is also a method using a printing device that can directly print on parts of the wallpaper that cannot be printed by feeding paper, such as scratches. However, with these conventional techniques, the boundary between the newly replaced wallpaper and the existing wallpaper is easily visible, resulting in an unnatural finish, and it is not possible to repair the wallpaper in a way that blends in with the old wallpaper that has deteriorated over time.

[0013] The present embodiment aims to make wallpaper used for repair blend in with the surrounding old wallpaper. To this end, in this embodiment, deterioration of the wallpaper is analyzed based on measurement information obtained by measuring the existing wallpaper, and the deterioration is removed from an image of the wallpaper. In this embodiment, the deterioration tendency is learned based on the measurement information, and a deterioration pattern generated based on the deterioration tendency is added to the image.

[0014] In one aspect, this embodiment allows for the creation of wallpaper that blends in with existing wallpaper, while in another aspect, this embodiment allows for wallpaper repair to be performed by replacing only a portion of the wallpaper on the wall, without replacing the entire wallpaper, thereby reducing the amount of wallpaper required for repair.

[0015] <Usage Scene> A usage scene of the printed matter in this embodiment will be described with reference to Fig. 1 to Fig. 3. Fig. 1 to Fig. 3 are diagrams showing an example of a usage scene of the printed matter in one embodiment.

[0016] Fig. 1 is a diagram showing the state of a wall where some of the wallpaper has been damaged. As shown in Fig. 1, when wallpapering a wall 900 of a residence or the like, multiple wallpapers 901-904 are pasted side by side in repeat units to fit the width of the wall 900. Note that a repeat is a fixed interval at which the same pattern is repeated. In the example shown in Fig. 1, wallpaper with a repeat pattern at 92 cm intervals is used.

[0017] When a person lives in a residence with wallpaper for many years, deterioration over time, such as discoloration due to exposure to sunlight, stains, or scratches, occurs on the entire wall 900 (i.e., all of the wallpapers 901-904). In this case, if a portion of the wallpaper is significantly damaged, the wallpaper may need to be repaired. In the example shown in FIG. 1, a large scratch 910 has occurred on the wallpaper 904. In this case, it is possible to replace all of the wallpapers 901-904, but there are various reasons why the person may not want to replace them with other wallpapers. Examples of such reasons include high costs for materials or labor, or the person being fond of the original wallpaper.

[0018] Fig. 2 is a diagram showing the state of a wall after only the damaged wallpaper has been replaced. As shown in Fig. 2, when only the wallpaper 904 with the scar 910 is replaced with new wallpaper 914, the difference due to the presence or absence of aging is noticeable at the boundary 905 between the unreplaced wallpapers 901 to 903 and the new wallpaper 914.

[0019] Here, if the existing wallpaper is replaced with wallpaper that reproduces the deterioration that occurred in the existing wallpaper, the sense of incongruity can be reduced. Fig. 3 is a diagram showing the state of a wall that has been replaced with wallpaper that reproduces the deterioration. As shown in Fig. 3, when wallpaper 904 with scars 910 is replaced with wallpaper 924 that reproduces the deterioration, the difference due to the presence or absence of aging is not noticeable even at the boundary 905 between the unreplaced wallpapers 901-903 and the new wallpaper 924, and the finish is natural.

[0020] In this embodiment, a part of existing wallpaper 901-904 is measured, and based on the result of analyzing the deterioration based on the measurement information, wallpaper 924 is printed that reproduces the deterioration that occurred in the existing wallpaper 901-904. Note that, although an example of replacing wallpaper in repeat units is shown in Fig. 1 to Fig. 3, the unit of replacing wallpaper is not limited to repeat units. In this embodiment, as long as the range of wallpaper to be replaced can be specified, it is possible to print wallpaper that reproduces the deterioration in any area as a unit.

[0021] <Overall configuration of the printing system> The overall configuration of a printing system in this embodiment will be described with reference to Fig. 4. Fig. 4 is a schematic diagram showing an example of the overall configuration of a printing system in one embodiment.

[0022] 4, the printing system 1000 includes a printing device 100, a scanning device 200, and an image processing device 300. The printing device 100, the scanning device 200, and the image processing device 300 are each connected to a communication network N. The communication network N is configured so that each of the connected devices can communicate with each other.

[0023] The communication network N is constructed by a network using wired communication such as the Internet, a local area network (LAN), a wide area network (WAN), etc. The communication network N may include not only wired communication but also wireless communication such as wireless LAN or short-range wireless communication, or a network using mobile communication such as Worldwide Interoperability for Microwave Access (WiMAX), Long Term Evolution (LTE), or 5th Generation (5G).

[0024] The printing device 100 is an example of an image forming device capable of printing wallpaper. The printing device 100 may be a liquid ejection device that ejects liquid from a head onto a print medium transported in a transport direction to form an image. An example of the printing device 100 is an inkjet printer or the like.

[0025] The printing device 100 prints an image of wallpaper on a print medium based on a print job received from the image processing device 300. The printing device 100 may include a mechanism for forming a deterioration on the printed wallpaper.

[0026] The scanning device 200 is an example of an electronic device that measures wallpaper to be repaired (hereinafter, also referred to as "target wallpaper") The scanning device 200 may be a computer such as a personal computer, a smartphone, or a tablet terminal.

[0027] A measuring device corresponding to the physical quantity to be measured may be connected to the scanning device 200 via a wired or wireless interface. For example, an image scanner capable of measuring the amount of light (or ultraviolet light) irradiated onto the surface of the wallpaper may be connected to the scanning device 200. Also, for example, a three-dimensional laser scanner capable of measuring the unevenness of the surface of the wallpaper may be connected to the scanning device 200.

[0028] The scanning device 200 generates an image of the wallpaper (an example of a first image, hereinafter also referred to as a "wallpaper image") and measurement information obtained by measuring the wallpaper, and transmits these to the image processing device 300. The measurement information may include ultraviolet information and unevenness information. The ultraviolet information is information indicating the amount of ultraviolet light irradiated onto the wallpaper. The unevenness information is information obtained by measuring the unevenness of the wallpaper surface.

[0029] The image processing device 300 is an example of an information processing device that generates an image for printing wallpaper (an example of a second image, hereinafter also referred to as a "print image"). The image processing device 300 may be, for example, a computer such as a personal computer, a workstation, or a server.

[0030] The image processing device 300 analyzes the deterioration that has occurred in the wallpaper based on the measurement information received from the scanning device 200, and generates an image (another example of a second image; hereinafter, also referred to as a "reproduced wallpaper image") in which the deterioration has been removed from the wallpaper image received from the scanning device 200. The image processing device 300 also learns the tendency of deterioration based on the measurement information, and generates a print image in which deterioration has been added to the reproduced wallpaper image based on the tendency of deterioration. Then, the image processing device 300 transmits a print job including the print image to the printing device 100.

[0031] The scanning device 200 and the image processing device 300 are not limited to information processing devices as long as they are devices equipped with a communication function. The scanning device 200 and the image processing device 300 may be, for example, a PJ (Projector), an IWB (Interactive White Board: a white board with an electronic blackboard function capable of mutual communication), an output device such as a digital signage, a HUD (Head Up Display) device, an industrial machine, an imaging device, a sound collection device, a medical device, a network home appliance, an automobile (Connected Car), a notebook PC (Personal Computer), a mobile phone, a smartphone, a tablet terminal, a game machine, a PDA (Personal Digital Assistant), a digital camera, a wearable PC, a desktop PC, or the like.

[0032] The overall configuration of the printing system 1000 shown in Fig. 4 is an example, and various system configuration examples are possible depending on the application and purpose. For example, the printing system 1000 may include multiple units of one or more of the printing device 100, the scanning device 200, and the image processing device 300. For example, the image processing device 300 may be realized by multiple computers, or may be realized as a cloud computing service. The classification of devices such as the printing device 100, the scanning device 200, and the image processing device 300 shown in Fig. 4 is an example.

[0033] <Printing device hardware configuration> The hardware configuration of the printing device in this embodiment will be described with reference to Figs. 5 to 8. Fig. 5 is a perspective view showing the inside of the printing device in one embodiment. Fig. 6 is a top view showing an example of the configuration of the printing device in one embodiment. Fig. 7 is a diagram showing an example of the configuration of a carriage provided in the printing device in one embodiment. Fig. 8 is a side view showing an example of the configuration of the printing device in one embodiment.

[0034] As shown in FIGS. 5 to 8, the printing device 100 includes a head 1, a first moving mechanism 2, a mounting member 3, a second moving mechanism 4, a light 5, and an operation panel 16.

[0035] The printing device 100 is, for example, a serial type image forming device that forms an image on a printing medium M using ink, which is an example of a liquid. The printing device 100 intermittently transports the printing medium M in a second direction B using a second movement mechanism 4. In addition, while transportation of the printing medium M is stopped, the printing device 100 forms an image on the printing medium M by ejecting ink from the head 1 onto the printing medium M on the mounting member 3 while moving the head 1 back and forth in a first direction A using a first movement mechanism 2.

[0036] The first movement mechanism 2 has a carriage 21, a drive pulley 22, a driven pulley 23, and a timing belt 24, and moves the print medium M and the head 1 in a first direction A relative to each other.

[0037] The carriage 21 moves the print medium M and the head 1 relative to each other in a first direction A. As shown in Fig. 5, the carriage 21 is supported by a main guide rod 6 extending in the first direction A, and moves back and forth in the first direction A. The carriage 21 is also provided with a connecting piece 21a. The connecting piece 21a engages with a sub-guide member 7 provided in parallel with the main guide rod 6, and stabilizes the position of the carriage 21.

[0038] The carriage 21 is connected to a timing belt 24 that is stretched between a driving pulley 22 and a driven pulley 23. The driving pulley 22 rotates by being driven by a first motor 8. The driven pulley 23 has a mechanism for adjusting the distance between itself and the driving pulley 22, and has a function of applying a predetermined tension to the timing belt 24.

[0039] The carriage 21 can move back and forth in the first direction A by the timing belt 24 performing a feeding operation driven by the first motor 8. The movement amount and movement speed of the carriage 21 are controlled based on an encoder value output by an encoder sensor 10 provided on the carriage 21 upon detecting a mark on an encoder sheet 11, for example as shown in FIG.

[0040] As shown in Fig. 7, the carriage 21 is equipped with three heads 1 including heads 1A, 1B, and 1C. Fig. 7 shows the carriage 21 as viewed from the side of the printing medium M facing the carriage 21. The heads 1 eject ink onto the printing medium M.

[0041] The head 1A has a nozzle row 1Ay with a plurality of nozzles that eject yellow (Y) ink, a nozzle row 1Ac with a plurality of nozzles that eject cyan (C) ink, a nozzle row 1Am with a plurality of nozzles that eject magenta (M) ink, and a nozzle row 1Ak with a plurality of nozzles that eject black (K) ink. Similarly, the head 1B has a nozzle row 1By, a nozzle row 1Bc, a nozzle row 1Bm, and a nozzle row 1Bk, and the head 1C has a nozzle row 1Cy, a nozzle row 1Cc, a nozzle row 1Cm, and a nozzle row 1Ck. The three heads 1 are supported by the carriage 21 so that each nozzle faces the printing medium M side.

[0042] The heads 1A, 1B, and 1C are arranged side by side in the first direction A and the second direction B. With this arrangement, the printing device 100 can form an image over a wide area of ​​the printing medium M in one movement of the carriage 21 in the first direction A.

[0043] 5, cartridges 9, which are ink suppliers for supplying ink to heads 1, are not mounted on carriage 21, but are disposed at predetermined positions within printing device 100. Cartridges 9 and each of the three heads 1 are connected by pipes, and ink is supplied from cartridges 9 to heads 1 via these pipes.

[0044] A maintenance mechanism 12 for maintaining the reliability of the heads 1 is provided on the opposite side of the cartridge 9 across the carriage 21 in the first direction A. The maintenance mechanism 12 cleans and caps the ejection surfaces of the three heads 1, discharges unnecessary ink from the three heads 1, and so on.

[0045] 8, the mounting member 3 is an example of a mounting member on which the printing medium M is placed. The mounting member 3 is a box-shaped member, and the printing medium M is placed on a mounting surface 31 facing the three heads 1. The mounting member 3 has a plurality of through holes formed therein that penetrate in a direction approximately perpendicular to the mounting surface 31. The printing device 100 can prevent the printing medium M from falling off the mounting member 3 by operating a suction fan 13 provided inside the mounting member 3 to adsorb the printing medium M to the mounting surface 31.

[0046] The second movement mechanism 4 has an unwinding section 41, a driving roller 42, a driven roller 43, and a winding section 44, and moves the printing medium M and the three heads 1 relatively in a second direction B intersecting the first direction A. The second movement mechanism 4 uses the driving roller 42 and the driven roller 43 to intermittently transport the printing medium M unwound from the unwinding section 41 to the winding section 44 via the mounting member 3, thereby moving the printing medium M and the three heads 1 relatively.

[0047] The unwinding section 41 includes a roll body in which the printing medium M is wound in a roll shape around a hollow shaft portion such as a cardboard tube that serves as a core member, and unwinds the printing medium M from the roll by rotating the roll body.

[0048] The drive roller 42 is rotated by a second motor. The driven roller 43 is rotated following the rotation of the drive roller 42. The printing device 100 can sandwich and transport the print medium M between the drive roller 42 and the driven roller 43.

[0049] The winding section 44 has a hollow shaft such as a cardboard tube that serves as a core member, and the leading end of the printing medium M is adhered to the hollow shaft with an adhesive such as tape, so that the printing medium M can be wound up around this hollow shaft.

[0050] In the printing device 100, the transport of the print medium M by the second movement mechanism 4 is guided by a paper feed guide member 14 and a paper discharge guide member 15 provided on the upstream and downstream sides of the mounting member 3 in the second direction B.

[0051] <Control device hardware configuration> The hardware configuration of the control device 50 that controls the printing device 100 in this embodiment will be described with reference to Fig. 9. Fig. 9 is a block diagram showing an example of the hardware configuration of the control device in one embodiment.

[0052] 9, the control device 50 is constructed by, for example, a computer, and has a CPU (Central Processing Unit) 51, a ROM (Read Only Memory) 52, a RAM (Random Access Memory) 53, an HDD / SSD (Hard Disk Drive / Solid State Drive) 54, a connection I / F (Interface) 55, and a communication I / F 56. These are connected via a system bus C so as to be able to communicate with each other.

[0053] The CPU 51 executes control processing including various types of arithmetic processing. The ROM 52 stores programs used to drive the CPU 51, such as an IPL (Initial Program Loader). The RAM 53 is used as a work area for the CPU 51. The HDD / SSD 54 stores various types of information such as programs.

[0054] The connection I / F 55 is an interface for connecting the control device 50 to various devices. The connection I / F 55 can be connected to a light capable of irradiating ultraviolet light, a heat source for applying heat treatment to the print medium M, or the like.

[0055] The communication I / F 56 is an interface for communicating with an external device via a communication network, etc. For example, the control device 50 can receive print data that is the source of an image to be formed on the print medium M from the image processing device 300, etc. via the communication I / F 56.

[0056] At least a part of the functions realized by the CPU 51 may be realized by an electric circuit or an electronic circuit.

[0057] <Computer hardware configuration> The scanning device 200 and the image processing device 300 in this embodiment may be realized by a computer. Fig. 10 is a block diagram showing an example of a hardware configuration of a computer in one embodiment.

[0058] As shown in FIG. 10, computer 500 includes a CPU 501, a ROM 502, a RAM 503, a HD 504, a HDD (Hard Disk Drive) controller 505, a display 506, an external device connection I / F (Interface) 508, a network I / F 509, a bus line 510, a keyboard 511, a pointing device 512, a DVD-RW (Digital Versatile Disk Rewritable) drive 514, and a media I / F 516.

[0059] Of these, the CPU 501 controls the operation of the entire computer. The ROM 502 stores programs used to drive the CPU 501, such as the IPL. The RAM 503 is used as a work area for the CPU 501. The HD 504 stores various data such as programs. The HDD controller 505 controls the reading and writing of various data from and to the HD 504 under the control of the CPU 501.

[0060] The display 506 displays various information such as a cursor, a menu, a window, characters, or an image. The external device connection I / F 508 is an interface for connecting various external devices. In this case, the external devices are, for example, a USB (Universal Serial Bus) memory or a printer. The network I / F 509 is an interface for data communication using the communication network N. The bus line 510 is an address bus, a data bus, or the like for electrically connecting each component such as the CPU 501 shown in FIG. 10.

[0061] The keyboard 511 is a type of input means having a plurality of keys for inputting characters, numbers, various instructions, etc. The pointing device 512 is a type of input means for selecting and executing various instructions, selecting a processing target, moving a cursor, etc. If the display 506 is a display operable by a touch panel, touch operation may be the input means (the same applies to the display of the operation panel 16 in the operation screen 600 described later). The DVD-RW drive 514 controls reading and writing of various data from a DVD-RW 513 as an example of a removable recording medium. The medium is not limited to a DVD-RW, and may be a DVD-R, etc. The media I / F 516 controls reading and writing (storing) of data from a recording medium 515 such as a flash memory.

[0062] <Printing system functional configuration> An example of the functional configuration of a printing system in this embodiment will be described with reference to Fig. 11. Fig. 11 is a block diagram showing an example of the functional configuration of a printing system in one embodiment.

[0063] Scanning Device As shown in FIG. 11, the scanning device 200 includes an image acquiring unit 201 , a light amount measuring unit 202 , a roughness measuring unit 203 , and an information transmitting unit 204 .

[0064] The image acquisition unit 201, the light quantity measurement unit 202, the unevenness measurement unit 203 and the information transmission unit 204 are realized, for example, by processing executed by the CPU 501 and the network I / F 509 of a program expanded from the ROM 502 shown in FIG. 10 onto the RAM 503.

[0065] The image acquiring unit 201 acquires a wallpaper image obtained by capturing an image of a target wallpaper. The image acquiring unit 201 may capture an image of a part of the target wallpaper. The part of the target wallpaper from which the image is acquired includes an area to be repaired (i.e., an area to be replaced). The part of the target wallpaper from which the image is acquired may also include an area not including the area to be repaired.

[0066] The image of the area to be repaired is necessary so that the periphery will seamlessly blend with the surrounding wallpaper when the wallpaper is replaced. The image of the area not including the area to be repaired is used to learn the deterioration tendency. The wider the range of the image acquisition, the more learning data there is for learning the deterioration tendency, and therefore the deterioration can be reproduced with higher accuracy. In this embodiment, the wallpaper is imaged in an area that includes at least one repeat of the pattern vertically and horizontally.

[0067] The data format of the wallpaper image may be any format. In this embodiment, the wallpaper image is not enlarged or reduced, so it may be in a bitmap format, for example. In the bitmap format, pixels and colors are associated with each other, so that coordinates and colors can be easily associated with each other.

[0068] The light quantity measuring unit 202 measures the quantity of light irradiated onto the target wallpaper. The light quantity measuring unit 202 may measure the quantity of light on a part of the target wallpaper. The part of the target wallpaper for which the quantity of light is measured may be the area to be repaired, or may be an area not including the area to be repaired. However, when measuring the quantity of light on an area not including the area to be repaired, it is preferable that the degree of light hitting the area is similar to that of the area to be repaired. The quantity of light to be measured may be the quantity of natural light entering through a window, or the quantity of light from lighting installed in the room.

[0069] The light amount measuring unit 202 may obtain the elapsed time since the target wallpaper was hung. For example, the light amount measuring unit 202 may obtain the elapsed time input to the scanning device 200 by the user.

[0070] The unevenness measuring unit 203 measures the unevenness of the surface of the target wallpaper. The unevenness measuring unit 203 may measure the unevenness of a part of the target wallpaper. The part of the target wallpaper for which the unevenness is measured may be the area to be repaired, or may be an area that does not include the area to be repaired.

[0071] The information transmitting unit 204 generates measurement information based on the measurement results by the light amount measuring unit 202 and the measurement results by the unevenness measuring unit 203. The measurement information includes light amount information indicating the amount of light irradiated to the target wallpaper, and unevenness information indicating the unevenness of the surface of the target wallpaper. Since it is possible to estimate the amount of ultraviolet rays from the amount of light irradiated to the wallpaper, the light amount information is an example of ultraviolet ray information. When the elapsed time is input by the light amount measuring unit 202, the information transmitting unit 204 includes the elapsed time input by the user in the measurement information. The information transmitting unit 204 transmits the wallpaper image acquired by the image acquiring unit 201 and the measurement information to the image processing device 300.

[0072] Image Processing Device As shown in FIG. 11, the image processing device 300 includes an acquisition unit 301 , an analysis unit 302 , a learning unit 303 , a generation unit 304 , and a print instruction unit 305 .

[0073] The acquisition unit 301, analysis unit 302, learning unit 303, generation unit 304 and print instruction unit 305 are realized, for example, by processing executed by a CPU 501 and a network I / F 509 of a program expanded from ROM 502 to RAM 503 as shown in FIG. 10.

[0074] The acquiring unit 301 acquires a wallpaper image obtained by capturing a target image and measurement information obtained by measuring the target wallpaper. The acquiring unit 301 may acquire the wallpaper image and the measurement information by receiving the wallpaper image and the measurement information from the scanning device 200. The acquiring unit 301 may acquire the wallpaper image and the measurement information inputted to the image processing device 300 by a user.

[0075] The analysis unit 302 analyzes the deterioration that has occurred on the target wallpaper based on the wallpaper image and measurement information acquired by the acquisition unit 301. The deterioration that is the subject of the analysis includes ultraviolet deterioration and wear and tear deterioration. The analysis unit 302 analyzes the ultraviolet deterioration that has occurred on the target wallpaper based on the light amount information included in the measurement information. The analysis unit 302 analyzes the wear and tear deterioration that has occurred on the target wallpaper based on the wallpaper image and the unevenness information included in the measurement information.

[0076] The learning unit 303 learns the tendency of deterioration based on the analysis result by the analysis unit 302. The learning unit 303 may calculate, for example, the color, shape, size, and variance of the deterioration for each type of deterioration. The learning unit 303 may learn the tendency of deterioration for each region obtained by dividing the target image into a plurality of regions.

[0077] The generation unit 304 generates a print image based on the analysis result by the analysis unit 302 and the tendency of deterioration learned by the learning unit 303. Specifically, the generation unit 304 generates a wallpaper reproduction image by removing the deterioration from the wallpaper image based on the analysis result.

[0078] Furthermore, the generating unit 304 generates a print image by adding a deterioration pattern generated based on the deterioration tendency to the wallpaper reproduction image. Specifically, the generating unit 304 randomly generates a deterioration pattern indicating, for example, the position, color, shape, size, and distribution of the deterioration for each type of deterioration according to the deterioration tendency, and adds the deterioration pattern for each type of deterioration to the wallpaper reproduction image.

[0079] Furthermore, the generating unit 304 may generate control information for physically adding a deterioration pattern to the wallpaper on which the print image is printed. In this case, the generating unit 304 may use the wallpaper reproduction image as it is as the print image without adding a deterioration pattern to the wallpaper reproduction image.

[0080] The print instruction unit 305 instructs the printing device 100 to print the print image generated by the generation unit 304. The print instruction unit 305 may generate a print job including the print image and transmit it to the printing device 100. The print job may include control information for physically reproducing the deterioration.

[0081] ≪Printing device≫ As shown in FIG. 11, the printing device 100 includes a job receiving unit 101 and a print execution unit 102.

[0082] The job receiving unit 101 and the print execution unit 102 are realized, for example, by processing that is executed by the CPU 51 and the communication I / F 56 in accordance with a program loaded from the ROM 52 onto the RAM 53 shown in FIG.

[0083] The job receiving unit 101 receives a print job received from the image processing device 300. The print job includes a print image to be formed on a print medium.

[0084] The print execution unit 102 forms a print image on a print medium based on the print job accepted by the job acceptance unit 101. The print execution unit 102 forms a print image on a print medium M set in the printing device 100 by controlling the head 1, the first movement mechanism 2, and the second movement mechanism 4.

[0085] If the print job includes control information, the print execution unit 102 may physically add a deterioration pattern to the printed wallpaper. If the control information includes information for adding damage, the print execution unit 102 processes the printed wallpaper to form cuts, peeling, tears, etc. If the control information includes information for adding stains, the print execution unit 102 performs heat processing or liquid injection, etc. on the printed wallpaper. If the control information includes information for adding ultraviolet deterioration, the print execution unit 102 irradiates the printed wallpaper with ultraviolet rays, etc.

[0086] <Details of the functional configuration of the image processing device> Details of the functional configuration of the image processing device in this embodiment will be described with reference to Fig. 12. Fig. 12 is a block diagram showing an example of the functional configuration of an analysis unit, a learning unit, and a generation unit in one embodiment.

[0087] ≪Analysis Department≫ As shown in FIG. 12, the analysis unit 302 includes an ultraviolet degradation analysis unit 311 , an ultraviolet degradation removal unit 312 , a wear and tear extraction unit 313 , and a wear and tear classification unit 314 .

[0088] The ultraviolet degradation analysis unit 311 analyzes ultraviolet degradation caused in the target wallpaper based on the light intensity information included in the measurement information. Specifically, the ultraviolet degradation analysis unit 311 calculates the cumulative amount of ultraviolet light irradiated on the target wallpaper based on the light intensity information. Next, the ultraviolet degradation analysis unit 311 generates data (hereinafter also referred to as "ultraviolet data") in which the coordinates of the wallpaper image and the cumulative amount of ultraviolet light are mapped based on the wallpaper image and the cumulative amount of ultraviolet light.

[0089] The cumulative amount of ultraviolet light can be calculated by multiplying the amount of light measured from the target wallpaper by the time that has elapsed since the wallpaper was hung. The elapsed time may be input by the user. However, if there is a device capable of measuring the amount of ultraviolet light contained in the wallpaper, the cumulative amount of ultraviolet light measured using that device may be used.

[0090] The ultraviolet degradation removal unit 312 removes ultraviolet degradation from the wallpaper image based on the ultraviolet data generated by the ultraviolet degradation analysis unit 311. Specifically, first, based on the wallpaper image and the unevenness information, the ultraviolet degradation removal unit 312 generates data (hereinafter also referred to as "wallpaper data") in which the color shown in the wallpaper image and the depth shown in the unevenness information are mapped based on coordinates. Next, based on the ultraviolet data, the ultraviolet degradation removal unit 312 performs an inverse conversion of the color change due to ultraviolet degradation on the color at each coordinate shown in the wallpaper data.

[0091] The color change due to ultraviolet degradation can be determined from the accumulated amount of ultraviolet rays, for example, based on a predetermined deterioration amount calculation rule. The deterioration amount calculation rule is a rule that indicates the relationship between the accumulated amount of ultraviolet rays and the color change due to ultraviolet irradiation. The deterioration amount calculation rule may be determined in advance based on the color change that occurs when wallpaper is actually irradiated with ultraviolet rays.

[0092] Fig. 13 is a diagram showing an example of a deterioration amount calculation rule in one embodiment. As shown in Fig. 13, the deterioration amount calculation rule includes an aging deterioration type, a number of years, an accumulated amount of ultraviolet light, and color change information.

[0093] The deterioration type is information indicating a type such as discoloration due to sunburn or surface hardening due to heat. The deterioration type may be selected according to the environment in which the wallpaper is hung. For example, if the wallpaper is hung on a wall that is likely to be exposed to direct sunlight, an aging deterioration type indicating discoloration due to sunburn may be selected. Also, for example, if the wallpaper is hung on a wall in a space that is likely to become hot, an aging deterioration type indicating surface hardening due to heat may be selected.

[0094] The number of years is the amount of time (in years) that has elapsed since the wallpaper was hung. The number of years may be selected according to the elapsed time that is input by the user and included in the measurement information.

[0095] The cumulative amount of ultraviolet light is calculated based on the number of years. The cumulative amount of ultraviolet light shown in FIG. 13 is the ultraviolet light intensity of sunlight (60 W / m 2 ) and the average annual hours of sunshine in Japan (1,915.9 hours).

[0096] The color change information is information that indicates the relationship between the original color (color at the time of manufacture) and the color after deterioration. The color change information shown in Fig. 13 is set so that the yellow becomes stronger as the ultraviolet deterioration progresses, assuming that the greater the accumulated amount of ultraviolet light, the greater the degree of ultraviolet light deterioration. The color change information shown in Fig. 13 is expressed by RGB values, but the color change information may also be expressed by CMYK, etc.

[0097] The wear and tear extraction unit 313 extracts wear and tear based on the wallpaper data from which ultraviolet degradation has been removed by the ultraviolet degradation removal unit 312. Specifically, first, the wear and tear extraction unit 313 performs binarization processing on the wallpaper data. Next, the wear and tear extraction unit 313 performs blob analysis on the binarized wallpaper data. In addition, the wear and tear extraction unit 313 performs ternary processing on the wallpaper data. Next, the wear and tear extraction unit 313 performs edge detection on the ternary wallpaper data.

[0098] Ternary conversion is a process that classifies each coordinate of wallpaper data into no unevenness, unevenness due to wallpaper pattern, or unevenness due to damage. The threshold for ternary conversion may be set based on the average depth value in the wallpaper data. That is, in ternary conversion, if the depth is near 0, it is classified as no unevenness, if the depth is equal to or greater than the threshold, it is classified as unevenness due to damage, and otherwise as unevenness due to pattern. By detecting edges in ternary wallpaper data, it becomes possible to distinguish between wallpaper patterns and damage, which cannot be distinguished by blob analysis.

[0099] The wallpaper pattern is information indicating a design printed on the wallpaper. The wallpaper pattern includes, for example, color information forming the pattern, the background color of the wallpaper, the uneven pattern, etc. The uneven pattern may be, for example, a repeating pattern such as a tile pattern or a woven pattern, or may be a pattern with a rule but no repetition such as a brick pattern or a stone pattern.

[0100] Next, the wear and tear extraction unit 313 classifies each blob extracted by the blob analysis into a blob related to a pattern (hereinafter also referred to as a "pattern blob") and a blob related to wear and tear (hereinafter also referred to as a "wear and tear blob"). Then, the wear and tear extraction unit 313 extracts wear and tear blobs from the wallpaper data.

[0101] The classification of pattern blobs and wear blobs is performed based on the frequency of appearance of the blobs. For example, blobs that appear frequently may be classified as pattern blobs, and blobs that appear infrequently may be classified as wear blobs. The classification of pattern blobs and wear blobs may use edge detection results. For example, cases where a pattern and damage overlap, or cases where a pattern and stain overlap, may be separated based on the edge detection results. If big data on stains or damage exists, the classification of pattern blobs and wear blobs may be based on the data.

[0102] The wear and tear classification unit 314 classifies the wear and tear blobs extracted by the wear and tear extraction unit 313 into blobs related to dirt (hereinafter also referred to as "dirty blobs") and blobs related to damage (hereinafter also referred to as "damaged blobs"). Edge detection results may be used in classifying the dirty blobs and damaged blobs. For example, blobs for which edges are detected may be classified as damaged blobs, and blobs for which edges are not detected may be classified as dirty blobs. The wear and tear classification unit 314 extracts dirty blobs and damaged blobs from the wallpaper data from which ultraviolet degradation has been removed, based on the classification results into dirty blobs and damaged blobs.

[0103] <Study Section> As shown in FIG. 12, the learning unit 303 includes a pattern learning unit 321 , a stain learning unit 322 , and a damage learning unit 323 .

[0104] The pattern learning unit 321 removes the wear blobs extracted by the wear and tear extraction unit 313 of the analysis unit 302 from the wallpaper data from which ultraviolet degradation has been removed by the ultraviolet degradation removal unit 312 of the analysis unit 302. Next, the pattern learning unit 321 learns the pattern tendency of the target wallpaper based on the wallpaper data from which the wear blobs have been removed. For example, the pattern learning unit 321 calculates the position, color, shape, size, variance thereof, etc. of each pattern blob.

[0105] The pattern learning unit 321 may learn the pattern tendency after correcting the portion from which the worn blob has been removed. For example, depending on the shape or size of the worn deterioration, the wallpaper pattern may disappear after removing the worn blob. If learning is performed based on wallpaper data from which the portion from which the worn blob has been removed has been corrected, the pattern tendency can be learned more accurately. At this time, taking into consideration the risk of model autism, it is advisable to reduce the weight of the corrected portion for learning.

[0106] The stain learning unit 322 learns the tendency of stains occurring on the target wallpaper based on the stain blobs extracted by the wear and tear classification unit 314 of the analysis unit 302. For example, the stain learning unit 322 calculates the position, color, shape, size, variance, etc. of each stain blob.

[0107] The damage learning unit 323 learns the tendency of damage occurring in the target wallpaper based on the damaged blobs extracted by the wear and tear classification unit 314 of the analysis unit 302. For example, the damage learning unit 323 calculates the position, color, shape, size, variance, etc. of each damaged blob.

[0108] ≪Generation part≫ As shown in FIG. 12, the generation unit 304 includes a pattern generation unit 331 , a stain generation unit 332 , a damage generation unit 333 , and an image generation unit 334 .

[0109] The pattern generating unit 331 generates a pattern pattern based on the pattern tendency learned by the pattern learning unit 321 of the learning unit 303. The pattern pattern is information that reproduces the pattern of the target wallpaper. Next, the pattern generating unit 331 generates an image showing the pattern pattern. The image showing the pattern pattern is an image in which deterioration has been removed from a wallpaper image captured of the area to be repaired (i.e., a wallpaper reproduction image).

[0110] The stain generation unit 332 generates a stain pattern based on the tendency of stains learned by the stain learning unit 322 of the learning unit 303. The stain pattern is information that randomly generates the type, shape, size, distribution, etc. of stains according to the tendency of stains that have occurred on the target wallpaper. The stain pattern is an example of a deterioration pattern related to stains.

[0111] The stain generation unit 332 determines the degree of variation with which stains are added to a certain area of ​​the target wallpaper, and generates a stain pattern in accordance with the determined variation. For example, if there is a tendency for fingerprints to be more prevalent in the lower right part of the target wallpaper, the stain generation unit 332 generates a stain pattern in which fingerprints are concentrated in the lower right part.

[0112] The damage generation unit 333 generates a damage pattern based on the tendency of damage learned by the damage learning unit 323 of the learning unit 303. The damage pattern is information that randomly generates the type, shape, size, distribution, etc. of damage according to the tendency of damage that has occurred in the target wallpaper. The damage pattern is an example of a deterioration pattern related to damage.

[0113] The damage generation unit 333 determines the degree of variation to add damage to a certain area in the target wallpaper, and generates a damage pattern according to the determined variation. For example, if there is a tendency that there are many scars at a certain height in the target wallpaper, the damage generation unit 333 generates a damage pattern in which the scars exist at the same height.

[0114] The image generation unit 334 adds stains and damage to the wallpaper reproduction image generated by the pattern generation unit 331, based on the stain pattern generated by the stain generation unit 332 and the damage pattern generated by the damage generation unit 333. Next, the image generation unit 334 adds ultraviolet degradation analyzed by the ultraviolet degradation analysis unit 311 to the wallpaper reproduction image to which the stains and damage have been added. Specifically, the image generation unit 334 obtains color change information from the deterioration amount calculation rules, and adds a color change due to ultraviolet degradation to the color of each coordinate shown in the wallpaper reproduction image. In this way, an image (i.e., a printed image) to which degradation has been added to the wallpaper reproduction image is generated.

[0115] <Printing system processing procedure> The method for manufacturing wallpaper executed by the printing system 1000 will be described with reference to Fig. 14. Fig. 14 is a sequence diagram showing an example of the method for manufacturing wallpaper in one embodiment.

[0116] In step S1, the image acquisition unit 201 of the scanning device 200 captures an image of a target wallpaper. Next, the image acquisition unit 201 generates a wallpaper image by capturing the image of the target wallpaper. Then, the image acquisition unit 201 transmits the generated wallpaper image to the information transmission unit 204.

[0117] In step S2, the light amount measuring unit 202 of the scanning device 200 measures the amount of light irradiated onto the target wallpaper. Next, the light amount measuring unit 202 acquires the elapsed time since the target wallpaper was hung in response to a user's operation. Then, the light amount measuring unit 202 transmits light amount information indicating the measurement result of the light amount and the elapsed time to the information transmitting unit 204.

[0118] In step S3, the unevenness measuring unit 203 of the scanning device 200 measures the unevenness of the surface of the target wallpaper. Next, the unevenness measuring unit 203 sends unevenness information indicating the unevenness measurement result to the information transmitting unit 204.

[0119] In step S4, the information transmitting unit 204 of the scanning device 200 receives the light amount information and the elapsed time from the light amount measuring unit 202. The information transmitting unit 204 also receives the unevenness information from the unevenness measuring unit 203. Next, the information transmitting unit 204 generates measurement information including the light amount information, the elapsed time, and the unevenness information. Then, the information transmitting unit 204 transmits the wallpaper image and the measurement information to the image processing device 300.

[0120] In step S5, the acquisition unit 301 of the image processing device 300 receives the wallpaper image and the measurement information from the scanning device 200. Next, the acquisition unit 301 acquires the received wallpaper image and the measurement information. Then, the acquisition unit 301 sends the acquired wallpaper image and the measurement information to the analysis unit 302.

[0121] In step S6, the analysis unit 302 of the image processing device 300 executes an analysis process. The analysis process is a process for analyzing the deterioration that has occurred in the target wallpaper, based on the wallpaper image and the measurement information.

[0122] <Analysis processing> The analysis process executed by the analysis unit 302 will be described with reference to Fig. 15. Fig. 15 is a flowchart showing an example of the analysis process in one embodiment.

[0123] In step S21, the ultraviolet degradation analysis unit 311 of the analysis unit 302 acquires light intensity information and elapsed time from the measurement information acquired in step S5. Next, the ultraviolet degradation analysis unit 311 calculates the cumulative amount of ultraviolet light irradiated to the target wallpaper based on the light intensity information and the elapsed time. Next, the ultraviolet degradation analysis unit 311 generates ultraviolet light data based on the wallpaper image and the cumulative amount of ultraviolet light. Then, the ultraviolet degradation analysis unit 311 sends the generated ultraviolet light data to the ultraviolet degradation removal unit 312.

[0124] In step S22, the ultraviolet degradation removal unit 312 of the analysis unit 302 acquires unevenness information from the measurement information acquired in step S5. Next, the ultraviolet degradation removal unit 312 generates wallpaper data based on the wallpaper image and the unevenness information.

[0125] In step S23, ultraviolet degradation removal unit 312 of analysis unit 302 receives the ultraviolet data from ultraviolet degradation analysis unit 311. Next, ultraviolet degradation removal unit 312 performs inverse conversion of color change due to ultraviolet degradation for the color of each coordinate indicated in the wallpaper data based on the ultraviolet data. This removes ultraviolet degradation from the wallpaper data. Then, ultraviolet degradation removal unit 312 sends the wallpaper data from which ultraviolet degradation has been removed to wear and tear extraction unit 313. In addition, ultraviolet degradation removal unit 312 sends the wallpaper data from which ultraviolet degradation has been removed to learning unit 303.

[0126] In step S24, the wear and tear extraction unit 313 of the analysis unit 302 receives the wallpaper data from the ultraviolet ray deterioration removal unit 312. Next, the wear and tear extraction unit 313 performs a binarization process on the wallpaper data. Then, the wear and tear extraction unit 313 performs a blob analysis on the binarized wallpaper data.

[0127] In step S25, the wear and tear extraction unit 313 of the analysis unit 302 performs a ternary value process on the wallpaper data. Next, the wear and tear extraction unit 313 performs edge detection on the ternary valued wallpaper data.

[0128] In step S26, the wear and tear extraction unit 313 of the analysis unit 302 classifies each blob extracted in step S24 into a pattern blob and a wear and tear blob. Next, the wear and tear extraction unit 313 extracts wear and tear blobs from the wallpaper data received in step S24 (i.e., wallpaper data from which ultraviolet degradation has been removed). Then, the wear and tear extraction unit 313 sends information indicating the extracted wear and tear blobs to the wear and tear classification unit 314. In addition, the wear and tear extraction unit 313 sends information indicating the wear and tear blobs to the learning unit 303. The information indicating the wear and tear blobs is, for example, information indicating the position, size, shape, etc. of each wear and tear blob.

[0129] In step S27, the wear / deterioration classification unit 314 of the analysis unit 302 receives information indicating the worn blob from the wear / deterioration extraction unit 313. Next, the wear / deterioration classification unit 314 classifies the worn blob into a soiled blob and a damaged blob based on each edge detected in step S25.

[0130] In step S28, the wear / deterioration classification unit 314 of the analysis unit 302 extracts the blobs classified as the stained blobs in step S27 from the wallpaper data received in step S24. Next, the wear / deterioration classification unit 314 sends information indicating the extracted stained blobs to the learning unit 303. The information indicating the stained blobs is, for example, information indicating the position, size, shape, etc. of each stained blob.

[0131] In step S29, the wear and tear classification unit 314 of the analysis unit 302 extracts the blobs classified as damaged blobs in step S27 from the wallpaper data received in step S24. Next, the wear and tear classification unit 314 sends information indicating the extracted damaged blobs to the learning unit 303. The information indicating the damaged blobs may be, for example, information indicating the position, size, shape, etc. of each damaged blob.

[0132] Returning to Fig. 14, in step S7, the learning unit 303 of the image processing device 300 executes a learning process. The learning process is a process for learning a tendency of deterioration based on the analysis result of the analysis process.

[0133] <Learning process> The learning process executed by the learning unit 303 will be described with reference to Fig. 16. Fig. 16 is a flowchart showing an example of the learning process in one embodiment.

[0134] In step S31, the pattern learning unit 321 of the learning unit 303 receives wallpaper data from which ultraviolet degradation has been removed from the ultraviolet degradation removal unit 312. The pattern learning unit 321 also receives information indicating a wear blob from the wear and tear extraction unit 313. Next, the pattern learning unit 321 removes the wear blob from the wallpaper data from which ultraviolet degradation has been removed.

[0135] Next, the pattern learning unit 321 learns the pattern tendency of the target wallpaper based on the wallpaper data from which the worn blobs have been removed. Then, the pattern learning unit 321 sends information indicating the pattern tendency to the generation unit 304. The information indicating the pattern tendency may include, for example, the position, color, shape, size, and variance thereof of the pattern.

[0136] In step S32, the stain learning unit 322 of the learning unit 303 receives information indicating the stain blob from the wear and tear extraction unit 313. Next, the stain learning unit 322 learns the tendency of stains occurring on the target wallpaper based on the information indicating the stain blob. Then, the stain learning unit 322 sends the information indicating the tendency of stains to the generation unit 304. The information indicating the tendency of stains may include, for example, the position, color, shape, size, and variance thereof of the stains.

[0137] In step S33, the damage learning unit 323 of the learning unit 303 receives information indicating the damaged blob from the wear and tear extraction unit 313. Next, the damage learning unit 323 learns the tendency of damage that has occurred in the target wallpaper based on the information indicating the damaged blob. Then, the damage learning unit 323 sends the information indicating the tendency of damage to the generation unit 304. The information indicating the tendency of damage may include, for example, the position, color, shape, size, and distribution of the damage.

[0138] Returning to Fig. 14, in step S8, the generation unit 304 of the image processing device 300 executes a generation process. The generation process is a process for generating a print image based on the analysis result of the analysis process and the deterioration tendency learned by the learning process.

[0139] <<Generation process>> The generation process executed by the generation unit 304 will be described with reference to Fig. 17. Fig. 17 is a flowchart showing an example of the generation process in one embodiment.

[0140] In step S41, the pattern generation unit 331 of the generation unit 304 receives information indicating the pattern tendency from the pattern learning unit 321. Next, the pattern generation unit 331 generates a pattern based on the pattern tendency.

[0141] In step S42, the pattern generation unit 331 of the generation unit 304 generates a wallpaper reproduction image showing the pattern generated in step S41. Next, the pattern generation unit 331 sends the generated wallpaper reproduction image to the image generation unit 334.

[0142] In step S43, the stain generation unit 332 of the generation unit 304 receives information indicating the stain tendency from the stain learning unit 322. Next, the stain generation unit 332 generates a stain pattern based on the stain tendency. Then, the stain generation unit 332 sends the generated stain pattern to the image generation unit 334.

[0143] In step S44, the damage generation unit 333 of the generation unit 304 receives information indicating the tendency of damage from the damage learning unit 323. Next, the damage generation unit 333 generates a damage pattern based on the tendency of damage. Then, the damage generation unit 333 sends the generated damage pattern to the image generation unit 334.

[0144] In step S45, the image generation unit 334 of the generation unit 304 receives the wallpaper reproduction image from the pattern generation unit 331. The image generation unit 334 also receives a stain pattern from the stain generation unit 332. The image generation unit 334 also receives a damage pattern from the damage generation unit 333. The image generation unit 334 also receives ultraviolet ray data from the ultraviolet ray degradation analysis unit 311.

[0145] Next, the image generation unit 334 adds stains and damage to the wallpaper reproduction image based on the stain pattern and damage pattern. The image generation unit 334 also adds color changes due to ultraviolet degradation to the wallpaper reproduction image to which the stains and damage have been added based on the ultraviolet data. This generates a print image in which degradation has been added to the wallpaper image. The image generation unit 334 sends the generated print image to the print instruction unit 305.

[0146] 14. In step S9, the print instruction unit 305 of the image processing device 300 receives the print image from the generation unit 304. Next, the print instruction unit 305 generates a print job including the received print image. Then, the print instruction unit 305 transmits the generated print job to the printing device 100.

[0147] In step S10, the job receiving unit 101 of the printing device 100 receives a print job from the image processing device 300. Next, the job receiving unit 101 accepts the received print job. Then, the job receiving unit 101 sends the print job to the print execution unit .

[0148] In step S11, the print execution unit 102 of the printing device 100 receives a print job from the job reception unit 101. Next, the print execution unit 102 forms a print image on a print medium based on the received print job. Furthermore, if the print job includes control information, the print execution unit 102 physically reproduces a deterioration pattern on the wallpaper after printing based on the control information.

[0149] <Effects of the embodiment> The image processing device 300 in this embodiment analyzes the deterioration that has occurred in the wallpaper based on the measurement information obtained by measuring the wallpaper, and generates a wallpaper reproduction image in which the deterioration has been removed from a wallpaper image obtained by capturing the wallpaper. The wallpaper reproduction image is an image in which the pattern of the existing wallpaper is reproduced. In one aspect, according to this embodiment, it is possible to generate an image of wallpaper that harmonizes with the existing wallpaper.

[0150] The image processing device 300 may analyze the ultraviolet degradation caused in the wallpaper based on the ultraviolet information indicating the amount of ultraviolet light irradiated on the wallpaper, and generate a wallpaper reproduction image in which the ultraviolet degradation is removed from the wallpaper image. According to this embodiment, an image in which the pattern of the existing wallpaper is reproduced can be generated from the wallpaper deteriorated by ultraviolet light.

[0151] The image processing device 300 may add color changes due to ultraviolet degradation to the wallpaper reproduction image based on the analysis result of ultraviolet degradation. According to this embodiment, it is possible to generate an image of wallpaper that harmonizes with wallpaper that has been deteriorated by ultraviolet rays.

[0152] The image processing device 300 may analyze wear and tear on the wallpaper based on unevenness information obtained by measuring the unevenness of the wallpaper, and generate a wallpaper reproduction image in which the wear and tear has been removed from the wallpaper image. According to this embodiment, an image in which the pattern of the existing wallpaper is reproduced can be generated from wallpaper that has been deteriorated due to wear and tear.

[0153] The image processing device 300 may learn the tendency of wear and tear based on the analysis result of wear and tear, and add wear and tear deterioration to the wallpaper reproduction image based on the deterioration pattern generated based on the tendency of wear and tear. According to this embodiment, it is possible to generate an image of wallpaper that harmonizes with wallpaper that has been deteriorated due to wear and tear.

[0154] Furthermore, according to this embodiment, it is possible to contribute to the achievement of the Sustainable Development Goals (SDGs) defined by the United Nations. Conventionally, when replacing wallpaper that has deteriorated over time, it was common to replace the wallpaper on the entire wall in order to achieve a natural appearance. The wallpaper created according to this embodiment harmonizes with the existing wallpaper, so that even if only the parts that need repair are replaced, the finish will not look out of place. Therefore, the amount of wallpaper required for repairs can be reduced. This can contribute to ensuring sustainable consumption and production and sustainable management of forests, etc., as defined in the Sustainable Development Goals.

[0155] [supplement] Each function of the above-described embodiments can be realized by one or more processing circuits. Here, the term "processing circuit" in this specification includes a processor programmed to execute each function by software, such as a processor implemented by an electronic circuit, and a device such as an ASIC (Application Specific Integrated Circuit), a DSP (digital signal processor), an FPGA (field programmable gate array), or a conventional circuit module designed to execute each function described above.

[0156] Although the embodiments of the present invention have been described in detail above, the present invention is not limited to these embodiments, and various modifications and changes are possible within the scope of the gist of the present invention described in the claims.

[0157] For example, aspects of the present invention are as follows. <1> an acquisition unit that acquires a first image of a wallpaper and measurement information obtained by measuring the wallpaper; an analysis unit that analyzes deterioration caused in the wallpaper based on the measurement information; a generating unit that generates a second image by removing the degradation from the first image; An image processing device comprising: <2> The generation unit adds degradation to the second image based on a result of the degradation analysis. <1> The image processing device according to claim 1 . <3> The acquisition unit acquires the measurement information including ultraviolet ray information indicating an amount of ultraviolet ray irradiated onto the wallpaper, The analysis unit analyzes ultraviolet degradation caused in the wallpaper based on the ultraviolet ray information, The generating unit generates the second image by removing the ultraviolet degradation from the first image. <1> The image processing device according to claim 1 . <4> The generation unit adds ultraviolet degradation to the second image based on the analysis result of the ultraviolet degradation. <3> The image processing device according to claim 1 . <5> The acquisition unit acquires the measurement information including unevenness information obtained by measuring unevenness of the wallpaper, The analysis unit analyzes wear and tear that has occurred on the wallpaper based on the unevenness information, The generating unit generates the second image by removing the wear and tear from the first image. <1> from <4> 13. The image processing device according to claim 12, <6> A learning unit that learns a tendency of wear and tear occurring in the wallpaper based on the analysis result of the wear and tear, The generation unit adds wear and tear to the second image based on the wear and tear tendency. <5> The image processing device according to claim 1 . <7> A printing system in which a printing device and an image processing device can communicate with each other via a network, The image processing device includes: an acquisition unit that acquires a first image of a wallpaper and measurement information obtained by measuring the wallpaper; an analysis unit that analyzes deterioration caused in the wallpaper based on the measurement information; a generating unit that generates a second image by removing the degradation from the first image; a print instruction unit that transmits a print job including the second image to the printing device; Equipped with The printing device includes: a job receiving unit that receives the print job from the image processing device; a print execution unit that prints wallpaper based on the print job; A printing system comprising: <8> The computer acquiring a first image of a wallpaper and measurement information obtained by measuring the wallpaper; analyzing the deterioration of the wallpaper based on the measurement information; generating a second image by removing the degradation from the first image; An image processing method that performs <9> acquiring a first image of a wallpaper and measurement information of the wallpaper; analyzing the deterioration of the wallpaper based on the measurement information; generating a second image by removing the degradation from the first image; adding a degradation to the second image based on the degradation analysis result; printing wallpaper based on the second image; A method for producing wallpaper having the above structure. <10> On the computer, acquiring a first image of a wallpaper and measurement information obtained by measuring the wallpaper; analyzing the deterioration of the wallpaper based on the measurement information; generating a second image by removing the degradation from the first image; A program for executing the above. [Explanation of symbols]

[0158] 100 Printing device 101 Job Reception Department 102 Printing Execution Unit 200 Scanning Device 201 Image Acquisition Unit 202 Light quantity measurement unit 203 Unevenness measurement section 204 Information Transmission Department 300 Image processing device 301 Acquisition Department 302 Analysis Department 303 Learning Department 304 Generation part 305 Print instruction section 1000 Printing System [Prior art documents] [Patent documents]

[0159] [Patent Document 1] JP 2013-202788 A

Claims

1. an acquisition unit that acquires a first image of a wallpaper and measurement information obtained by measuring the wallpaper; an analysis unit that analyzes deterioration caused in the wallpaper based on the measurement information; a generating unit that generates a second image by removing the degradation from the first image; An image processing device comprising:

2. The generation unit adds degradation to the second image based on a result of the degradation analysis. The image processing device according to claim 1 .

3. The acquisition unit acquires the measurement information including ultraviolet ray information indicating an amount of ultraviolet ray irradiated onto the wallpaper, The analysis unit analyzes ultraviolet degradation caused in the wallpaper based on the ultraviolet ray information, The generating unit generates the second image by removing the ultraviolet degradation from the first image. The image processing device according to claim 1 .

4. The generation unit adds ultraviolet degradation to the second image based on a result of the analysis of the ultraviolet degradation. The image processing device according to claim 3 .

5. The acquisition unit acquires the measurement information including unevenness information obtained by measuring unevenness of the wallpaper, The analysis unit analyzes wear and tear that has occurred on the wallpaper based on the unevenness information, The generating unit generates the second image by removing the wear and tear from the first image. The image processing device according to claim 1 .

6. A learning unit that learns a tendency of wear and tear occurring in the wallpaper based on the analysis result of the wear and tear, The generation unit adds wear and tear to the second image based on the tendency of wear and tear. The image processing device according to claim 5 .

7. A printing system in which a printing device and an image processing device can communicate with each other via a network, The image processing device includes: an acquisition unit that acquires a first image of a wallpaper and measurement information obtained by measuring the wallpaper; an analysis unit that analyzes deterioration caused in the wallpaper based on the measurement information; a generating unit that generates a second image by removing the degradation from the first image; a print instruction unit that transmits a print job including the second image to the printing device; Equipped with The printing device includes: a job receiving unit that receives the print job from the image processing device; a print execution unit that prints wallpaper based on the print job; A printing system comprising:

8. The computer acquiring a first image of a wallpaper and measurement information obtained by measuring the wallpaper; analyzing the deterioration of the wallpaper based on the measurement information; generating a second image by removing the degradation from the first image; An image processing method that performs

9. acquiring a first image of a wallpaper and measurement information of the wallpaper; analyzing the deterioration of the wallpaper based on the measurement information; generating a second image by removing the degradation from the first image; adding degradation to the second image based on the degradation analysis result; printing wallpaper based on the second image; A method for producing wallpaper having the above structure.

10. On the computer, acquiring a first image of a wallpaper and measurement information obtained by measuring the wallpaper; analyzing the deterioration of the wallpaper based on the measurement information; generating a second image by removing the degradation from the first image; A program for executing.

Images