Display device and image processing method

Abstract

A display device according to embodiments disclosed herein may comprise: memory for storing a program including at least one command; and at least one processor that is connected to the memory and executes the at least one command of the program stored in the memory. The at least one processor can estimate the color temperature of at least one external light source on the basis of sensing the at least one external light source, and perform a color reproduction calibration corresponding to the color temperature of the at least one external light source on the basis of first color reproduction modeling data. The color reproduction calibration can increase the color reproduction rate for input image data of an output image by adjusting at least one of the brightness, color temperature, contrast, color, saturation, or sharpness of the output image.

Description

Display device and image processing method

[0001] Various embodiments of the present disclosure relate to a display device, and more particularly, to a display device that performs color reproduction calibration and an image processing method for performing color reproduction calibration.

[0002] With the advancement of digital technology, various types of electronic devices, such as smart TVs, smartphones, tablet PCs, electronic notebooks, personal digital assistants (PDAs), and wearable devices, are being used. In particular, these various types of electronic devices can be implemented as display devices that output images to a display panel based on input data.

[0003] With the continuous advancement of display technology, recent display devices are equipped with various functions beyond simple image display to create an optimal viewing environment. For example, when displaying an output image based on input image data, a display device can adjust the image brightness by considering lighting characteristics such as ambient light and sunlight.

[0004] Meanwhile, existing display devices do not sufficiently consider ambient lighting characteristics, and in particular, do not adjust image quality based on color temperature. This leads to reduced color consistency under various lighting conditions. Therefore, image quality adjustment technology is needed to prevent display devices from displaying different colors in response to changes in color temperature, one of the ambient lighting characteristics.

[0005] Various embodiments of the present disclosure can provide a display device and an image processing method that improve the color reproducibility of an output image by detecting the color temperature of an external light source and adaptively adjusting the image quality based on the color temperature of the external light source.

[0006] A display device according to embodiments of the present disclosure may include a memory storing a program including at least one command, and at least one processor connected to the memory and executing at least one command of the program stored in the memory. The at least one processor may estimate a color temperature of the at least one external light source based on sensing at least one external light source, and perform color reproduction calibration corresponding to the color temperature of the at least one external light source based on first color reproduction modeling data. The color reproduction calibration may increase a color reproducibility of the output image with respect to input image data by adjusting at least one of brightness, color temperature, contrast, hue, saturation, or sharpness of the output image.

[0007] In one embodiment, the first color reproduction modeling data may include first reproduction color data of a reference color panel according to lighting conditions of at least one standard light source defined by the International Commission on Illumination (CIE).

[0008] In one embodiment, the at least one standard illuminant may include at least one of CIE A, CIE F2, CIE D50, CIE D65, or CIE D75 as defined by the International Commission on Illumination.

[0009] In one embodiment, the reference color panel may include at least 24 color patches having different color values.

[0010] In one embodiment, the at least one processor may perform color reproduction calibration corresponding to the reflective characteristics of the display panel based on second color reproduction modeling data. The second color reproduction modeling data may include second reproduction color data of the reference color panel according to the reflective characteristics of the display panel under predetermined lighting conditions.

[0011] In one embodiment, the reflective characteristic may include at least one of a reflectivity of the display panel or a viewing angle of the display panel.

[0012] In one embodiment, the at least one processor may enter an art gallery mode based on identifying an art gallery image from the input image data, and perform color reproduction calibration for the art gallery image based on at least one of the first color reproduction modeling or the second color reproduction modeling.

[0013] In one embodiment, the at least one processor may enter an art gallery mode based on user input and perform color reproduction calibration for the art gallery image based on user settings.

[0014] In one embodiment, the at least one processor may receive the user input from an external control device. The control device may include a hotkey for entering the art gallery mode.

[0015] In one embodiment, the at least one processor may provide a user interface for changing the user settings including at least one of sharpness, light source type, reflectivity, or viewing angle of the art gallery mode.

[0016] An image processing method for color reproduction calibration according to embodiments of the present disclosure may include an operation of generating first color reproduction modeling data by modeling a color to be reproduced according to a type of light source, an operation of generating second color reproduction modeling data by modeling a color to be reproduced according to a reflective characteristic of a display panel, an operation of estimating a color temperature of at least one external light source based on sensing the at least one external light source, and an operation of performing color reproduction calibration to increase a color reproducibility of input image data of an output image. The operation of performing the color reproduction calibration may adjust at least one of brightness, color temperature, contrast, hue, saturation, or sharpness of the output image based on at least one of the first color reproduction modeling data or the second color reproduction modeling data.

[0017] In one embodiment, the operation of generating the first color reproduction modeling data may generate the first color reproduction modeling data including the first reproduction color data by modeling the reproduction color of a reference color panel according to the lighting conditions of at least one standard light source defined by the International Commission on Illumination (CIE).

[0018] In one embodiment, the at least one standard illuminant may include at least one of CIE A, CIE F2, CIE D50, CIE D65, or CIE D75 as defined by the International Commission on Illumination.

[0019] In one embodiment, the reference color panel may include at least 24 color patches having different color values.

[0020] In one embodiment, the operation of generating the second color reproduction modeling data may generate the second color reproduction modeling data including the second reproduction color data by modeling the reproduction color of the reference color panel according to the reflection characteristics of the display panel under predetermined lighting conditions.

[0021] In one embodiment, the reflective characteristic may include at least one of a reflectivity of the display panel or a viewing angle of the display panel.

[0022] In one embodiment, the operation of performing the color reproduction calibration may include an operation of entering an art gallery mode based on identifying an art gallery image from the input image data, and an operation of performing the color reproduction calibration for the art gallery image based on at least one of the first color reproduction modeling or the second color reproduction modeling.

[0023] In one embodiment, the act of performing the color reproduction calibration may include entering an art gallery mode based on user input, and performing the color reproduction calibration for an art gallery image based on user settings.

[0024] In one embodiment, the act of entering the art gallery mode based on the user input may include receiving the user input from an external control device. The control device may include a hotkey for entering the art gallery mode.

[0025] In one embodiment, the method may further include providing a user interface for changing the user setting, including at least one of sharpness, light source type, reflectivity, or viewing angle of the art gallery mode.

[0026] According to various embodiments of the present disclosure, the display device and image processing method of the present disclosure can detect the color temperature of an external light source and adaptively adjust image quality based on the color temperature of the external light source. Furthermore, the display device and image processing method of the present disclosure can perform image quality adjustment optimized for the reflective characteristics of the display panel.

[0027] Therefore, the display device and image processing method of the present disclosure can accurately reproduce the colors of input image data even under various lighting conditions, thereby increasing the color reproduction accuracy of the output image. Consequently, the display device and image processing method of the present disclosure can provide an improved visual experience to the user.

[0028] The effects that can be obtained from the exemplary embodiments of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned can be clearly derived and understood by those skilled in the art to which the exemplary embodiments of the present disclosure pertain from the following description. In other words, unintended effects resulting from implementing the exemplary embodiments of the present disclosure can also be derived by those skilled in the art from the exemplary embodiments of the present disclosure.

[0029] FIG. 1 illustrates a block configuration of an image processing device according to one embodiment of the present disclosure.

[0030] FIG. 2 illustrates a block configuration of a display device according to one embodiment of the present disclosure.

[0031] FIG. 3 illustrates an operation sequence of a display device according to one embodiment of the present disclosure.

[0032] FIG. 4 illustrates a display device that displays an output image under certain lighting conditions according to one embodiment of the present disclosure.

[0033] FIG. 5a illustrates an area corresponding to each color in the LAB color space according to one embodiment of the present disclosure.

[0034] FIG. 5b illustrates an area of ​​a standard light source according to one embodiment of the present disclosure.

[0035] FIG. 6 illustrates a measuring device and a reference color panel used for color reproduction modeling according to one embodiment of the present disclosure.

[0036] FIG. 7 illustrates display operation based on color reproduction calibration according to one embodiment of the present disclosure.

[0037] FIG. 8 illustrates an operation sequence of a display device according to one embodiment of the present disclosure.

[0038] FIG. 9 illustrates the reflection characteristics of a display device according to one embodiment of the present disclosure.

[0039] FIG. 10 illustrates display operation based on color reproduction calibration according to one embodiment of the present disclosure.

[0040] FIG. 11 illustrates an art gallery mode of a display device according to one embodiment of the present disclosure.

[0041] Figure 12 illustrates the operation sequence of the display device when automatically entering the art gallery mode.

[0042] Figure 13 illustrates the operation sequence of the display device when manually entering the art gallery mode.

[0043] FIG. 14 illustrates a control device for controlling a display device according to one embodiment of the present disclosure.

[0044] FIG. 15 illustrates a user interface of a display device according to one embodiment of the present disclosure.

[0045] FIG. 16 illustrates an image processing method for color reproduction calibration according to one embodiment of the present disclosure.

[0046] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings so that those skilled in the art can easily implement the present disclosure. However, the present disclosure may be implemented in various different forms and is not limited to the embodiments described herein. In connection with the description of the drawings, the same or similar reference numerals may be used for identical or similar components. Furthermore, in the drawings and related descriptions, descriptions of well-known functions and configurations may be omitted for clarity and conciseness.

[0047] At this time, it will be understood that each block of the processing flow diagrams and combinations of the flow diagrams can be performed by computer program instructions.

[0048] Additionally, each block may represent a module, segment, or portion of code that contains one or more executable instructions for performing a specific logical function(s). It should also be noted that in some alternative implementation examples, the functions described in the blocks may occur out of order. For example, two blocks depicted in succession may actually be executed substantially concurrently, or the blocks may sometimes be executed in reverse order, depending on their respective functions.

[0049] Here, the term '~ part' used in this embodiment means software or hardware components such as FPGA (Field Programmable Gate Array) or ASIC (Application Specific Integrated Circuit), and the '~ part' performs certain roles. However, the '~ part' is not limited to software or hardware. The '~ part' may be configured to be on an addressable storage medium or may be configured to reproduce one or more packet processing devices. Therefore, as an example, the '~ part' includes components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functions provided within the components and '~ parts' may be combined into a smaller number of components and '~ parts' or further separated into additional components and '~ parts'. In addition, the components and '~parts' may be implemented to play one or more central processing units (CPUs) within the device or secure multimedia card. In addition, in the embodiment, the '~parts' may include one or more packet processing devices.

[0050] FIG. 1 illustrates a block configuration of an image processing device according to one embodiment of the present disclosure.

[0051] The image processing device (1) can increase the color reproduction accuracy of the output image by performing image quality adjustment. For example, the image processing device (1) can detect the color temperature of an external light source and perform color reproduction calibration adaptively to the color temperature of the external light source, thereby increasing the color reproduction accuracy of the output image. For example, the image processing device (1) can increase the color reproduction accuracy of the output image by performing color reproduction calibration optimized for the reflection characteristics of the display panel.

[0052] Referring to FIG. 1, the image processing device (1) may include a memory (10) and / or an image processor (100).

[0053] According to one embodiment, the memory (10) can store information (color reproduction modeling information) regarding settings for image processing of the image processing device (1). The color reproduction modeling information may include, for example, at least one of first color reproduction modeling data of a reference color panel according to lighting conditions of at least one standard light source or second color reproduction modeling data of a reference color panel according to reflection characteristics of a display panel under predetermined lighting conditions, but is not limited thereto.

[0054] According to one embodiment, the image processor (100) can perform image processing on an input image based on color reproduction modeling information stored in the memory (10) to obtain an output image.

[0055] According to one embodiment, the image processor (100) may include a color temperature estimation unit (110) and a color reproduction calibration unit (120).

[0056] According to one embodiment, the color temperature estimation unit (110) can estimate the color temperature of at least one external light source based on sensing data. For example, the color temperature estimation unit (110) can sense at least one external light source using at least one light source sensor. For example, the color temperature estimation unit (110) can generate sensing data for at least one external light source and estimate the color temperature of the at least one external light source based on the sensing data. The operation of the color temperature estimation unit (110) is exemplarily described below with reference to FIGS. 3 to 7.

[0057] According to one embodiment, the color reproduction calibration unit (120) may perform image processing for adjusting the image quality of an input image based on color reproduction modeling information stored in the memory (10). For example, the color reproduction calibration unit (120) may generate an output image to which color reproduction calibration has been applied. The operation of the color reproduction calibration unit (120) is exemplarily described below with reference to FIGS. 3 to 10 .

[0058] In this way, the image processing device of the present disclosure can accurately reproduce the colors of input image data even under various lighting conditions, thereby increasing the color reproduction accuracy of the output image. Consequently, the image processing device of the present disclosure can provide an improved visual experience to the user.

[0059] FIG. 2 illustrates a block configuration of a display device according to one embodiment of the present disclosure.

[0060] Referring to FIG. 2, the display device (200) may include a display (210), a memory (220), and one or more processors (230).

[0061] According to one embodiment, the display (210) may be implemented as various types of displays, such as, for example, a liquid crystal display (LCD), an organic light-emitting diode (OLED), a liquid crystal on silicon (LCoS), a digital light processing (DLP), a quantum dot (QD) display panel, quantum dot light-emitting diodes (QLED), micro light-emitting diodes (μLED), and a mini LED.

[0062] According to one embodiment, the display device (200) may be implemented as, for example, a touch screen combined with a touch sensor, a flexible display, a rollable display, a 3D display, a display in which a plurality of display modules are physically connected, etc.

[0063] According to one embodiment, the memory (220) can store data required for various embodiments of the present disclosure. The memory (220) may be implemented in the form of memory embedded in the display device (200) or in the form of memory detachable from the display device (200) depending on the purpose of data storage. For example, data for driving the display device (200) may be stored in a memory embedded in the display device (200), and data for extended functions of the display device (200) may be stored in a memory detachable from the display device (200). Meanwhile, in the case of memory embedded in the display device (200), it may be implemented as at least one of volatile memory (e.g., dynamic RAM (DRAM), static RAM (SRAM), or synchronous dynamic RAM (SDRAM)), non-volatile memory (e.g., one time programmable ROM (OTPROM), programmable ROM (PROM), erasable and programmable ROM (EPROM), electrically erasable and programmable ROM (EEPROM), mask ROM, flash ROM, flash memory (e.g., NAND flash or NOR flash), hard drive, or solid state drive (SSD)). In addition, in the case of memory that can be detachably attached to the display device (200), it may be implemented as at least one of memory cards (e.g., compact flash (CF), secure digital (SD), micro secure digital (Micro-SD), mini secure digital (Mini-SD), extreme digital (xD), multi-media card (MMC), etc.), external memory that can be connected to a USB port (e.g., USB memory), etc. It can be implemented.

[0064] As an example, the memory (220) may store a computer program including at least one instruction or instructions for controlling the display device (200).

[0065] In one embodiment, various data may be stored in external memory of the processor (230), or some of the data may be stored in internal memory of the processor (230) and the remainder may be stored in external memory.

[0066] According to one embodiment, at least one processor (230) can control the overall operation of the display device (200).

[0067] According to one embodiment, the processor (230) may be implemented as a digital signal processor (DSP), a microprocessor, or a timing controller (TCON) that processes digital signals. However, the present invention is not limited thereto, and may include one or more of a central processing unit (CPU), a micro controller unit (MCU), a micro processing unit (MPU), a controller, an application processor (AP), a communication processor (CP), an ARM processor, or an artificial intelligence (AI) processor, or may be defined by the relevant terms. The processor (230) may be implemented as a system on chip (SoC) having a built-in processing algorithm, a large scale integration (LSI), or may be implemented in the form of a field programmable gate array (FPGA). The processor (230) may perform various functions by executing computer executable instructions stored in a memory.

[0068] The processor (230) may include one or more of a central processing unit (CPU), a graphics processing unit (GPU), an accelerated processing unit (APU), a many integrated core (MIC), a digital signal processor (DSP), a neural processing unit (NPU), a hardware accelerator, or a machine learning accelerator. The processor (230) may control one or any combination of other components of the electronic device, and may perform operations related to communication or data processing. The processor (230) may execute one or more programs or instructions stored in a memory. For example, the processor (230) may perform a method according to an embodiment of the present disclosure by executing one or more instructions stored in a memory.

[0069] In one embodiment, when a method includes multiple operations, the multiple operations may be performed by one processor or by multiple processors. For example, when a first operation, a second operation, and a third operation are performed by a method according to one embodiment, the first operation, the second operation, and the third operation may all be performed by the first processor, or the first operation and the second operation may be performed by the first processor (e.g., a general-purpose processor) and the third operation may be performed by the second processor (e.g., an artificial intelligence-specific processor).

[0070] The processor (230) may be implemented as a single core processor including one core, or may be implemented as one or more multicore processors including multiple cores (e.g., homogeneous multicores or heterogeneous multicores). When the processor (230) is implemented as a multicore processor, each of the multiple cores included in the multicore processor may include internal processor memory, such as cache memory or on-chip memory, and a common cache shared by the multiple cores may be included in the multicore processor. In addition, each of the multiple cores (or some of the multiple cores) included in the multicore processor may independently read and execute a program instruction for implementing a method according to an embodiment of the present disclosure, or all (or some) of the multiple cores may be linked to read and execute a program instruction for implementing a method according to an embodiment of the present disclosure.

[0071] When a method according to an embodiment includes a plurality of operations, the plurality of operations may be performed by one core among the plurality of cores included in a multi-core processor, or may be performed by the plurality of cores. For example, when a first operation, a second operation, and a third operation are performed by a method according to an embodiment, the first operation, the second operation, and the third operation may all be performed by a first core included in the multi-core processor, or the first operation and the second operation may be performed by a first core included in the multi-core processor, and the third operation may be performed by a second core included in the multi-core processor.

[0072] In various embodiments of the present disclosure, the processor (230) may mean a system on a chip (SoC) in which one or more processors and other electronic components are integrated, a single-core processor, a multi-core processor, or a core included in a single-core processor or a multi-core processor, wherein the core may be implemented as a CPU, a GPU, an APU, a MIC, a DSP, an NPU, a hardware accelerator, or a machine learning accelerator, but embodiments of the present disclosure are not limited thereto.

[0073] According to one embodiment, the image processing device (1) of FIG. 1 may be included in the display device (100) of FIG. 2, may be the display device (100), or may include the display device (100). For example, when the image processing device (1) of FIG. 1 is included in the display device (100) of FIG. 2, the memory (10) of the image processing device (1) of FIG. 1 may be included in the memory (210) of the display device (100) of FIG. 2, and the image processor (100) of the image processing device (1) of FIG. 1 may be included in at least one processor (230) of the display device (100) of FIG. 2.

[0074] FIG. 3 illustrates an operation sequence of a display device (400) according to an embodiment of the present disclosure, FIG. 4 illustrates a display device (400) that displays an output image under a predetermined lighting condition according to an embodiment of the present disclosure, FIG. 5A illustrates an area corresponding to each color on a LAB color space according to an embodiment of the present disclosure, FIG. 5B illustrates an area of ​​a standard illuminant according to an embodiment of the present disclosure, and FIG. 6 illustrates a measuring device (600) and a reference color panel (RCP) used for color reproduction modeling according to an embodiment of the present disclosure. FIG. 7 illustrates a display operation based on color reproduction calibration according to an embodiment of the present disclosure.

[0075] Referring to FIGS. 3 to 7, the display device (400) can estimate a color temperature of at least one external light source (ELS) based on sensing the at least one external light source (ELS) (operation 310), and perform color reproduction calibration corresponding to the color temperature of the at least one external light source (ELS) based on first color reproduction modeling data (operation 320).

[0076] For example, in operation 310, the display device (400) may estimate a color temperature of at least one external light source (ELS) based on sensing the at least one external light source (ELS). For example, the display device (400) may display an output image based on input image data under predetermined lighting conditions. The predetermined lighting conditions may include at least one external light source (ELS). The at least one external light source (ELS) may have a predetermined color temperature.

[0077] As shown in FIG. 4, the display device (400) may include a light source sensor (420). For example, the light source sensor (420) may include at least one of a photodiode sensor, a phototransistor sensor, a photocell sensor, a CCD sensor, or a CMOS sensor. The light source sensor (420) may sense a color composition and a color ratio of at least one external light source (ELS) by performing a spectrum analysis on the at least one external light source (ELS). The light source sensor (420) may generate sensing data by sensing the at least one external light source (ELS).

[0078] The display device (400) can estimate the color temperature of at least one external light source (ELS) based on sensing data. The display device (400) can estimate an area corresponding to the color of at least one external light source (ELS) in the LAB color space. Referring to FIG. 5A, coordinates corresponding to each color in the LAB color space can be defined. The LAB color space can express the brightness and color of a color as positional information in a color space implemented with the L-axis, the a-axis, and the b-axis. The L-axis can represent brightness as positional information. The a-axis and the b-axis can represent a predetermined color as positional information. For example, the a-axis can represent colors ranging from green to red. For example, the b-axis can represent colors ranging from blue to yellow. In FIGS. 5A and 5B, the L-axis is omitted. The display device (400) can classify at least one external light source (ELS) as at least one standard light source defined by the International Commission on Illumination based on the sensing data.

[0079] According to an example, in operation 320, the display device (400) can perform color reproduction calibration corresponding to the color temperature of the at least one external light source (ELS) based on the first color reproduction modeling data.

[0080] The first color reproduction modeling data may include first reproduction color data of a reference color panel (RCP) according to the lighting conditions of at least one standard light source defined by the International Commission on Illumination (CIE). For example, the first reproduction color data may include a correlation between a change in color temperature and a reproduction color by modeling the reproduction color of the reference color panel (RCP) for at least one standard light source using a predetermined measuring device (600).

[0081] As shown in Fig. 5b, at least one standard illuminant may include a first standard illuminant (SLS1) to a fifth standard illuminant (SLS5). For example, the at least one standard illuminant may include at least one of CIE A, CIE F2, CIE D50, CIE D65, or CIE D75 as defined by the International Commission on Illumination. The first standard illuminant (SLS1) is a light source in a color temperature range of 2000 K to 4000 K, and may include CIE A. The second standard illuminant (SLS2) is a light source in a color temperature range of 4000 K to 5000 K, and may include CIE F2. The third standard illuminant (SLS3) is a light source in a color temperature range of 5000 K to 6000 K, and may include CIE D50. The fourth standard illuminant (SLS4) is a light source with a color temperature range of 6000K to 7000K, which may include CIE D65. The fifth standard illuminant (SLS5) is a light source with a color temperature range of 7000K to 12000K, which may include CIE D75.

[0082] CIE A is a standard illuminant with a color temperature of approximately 2856K, which simulates tungsten filament lighting, and may be a representative color temperature for indoor lighting environments. CIE F2 is a standard illuminant with a color temperature of approximately 4200K, which simulates fluorescent lighting, and may be a representative color temperature for office or commercial environments. CIE D50 is a standard illuminant with a color temperature of approximately 5000K, which simulates natural sunlight in the morning or afternoon, and may be a representative color temperature for everyday natural sunlight. CIE D65 is a standard illuminant with a color temperature of approximately 6500K, which simulates average sunlight in Northern Europe, and may be a representative color temperature for natural sunlight on a clear day. CIE D75 is a standard illuminant with a color temperature of approximately 7500K, which simulates sunlight on a very clear day, and may exhibit a high color temperature with a cool tone.

[0083] A reference color panel (RCP) may include at least 24 color patches having different color values. The reference color panel (RCP) may be a color checker for performing color reproduction modeling using at least 24 color patches. For example, the reference color panel (RCP) can include at least one color patch of Light Gray, Dark Gray, Medium Gray, Light Skin, Dark Skin, Sky Blue, Green, Blue, Red, Yellow, Magenta, Cyan, Blue Green, Orange, Purple, Yellow Green, Navy Blue, Lemon, Blue Purple, Burnt Orange, Light Blue, Light Green, Lilac, or Peach. The reference color panel (RCP) can be used to collect reproducible colors according to various standard illuminants within the measurement device (600), as shown in FIG. 6.

[0084] Color reproduction calibration can increase the color reproduction rate of the output image (IMG1) with respect to the input image data by adjusting at least one of the brightness, color temperature, contrast, hue, saturation, or sharpness of the output image (IMG1). For example, color reproduction calibration can change at least one adjustment value of the output image (IMG1) so that the output image (IMG1) accurately expresses the color of the input image data.

[0085] For example, brightness adjustment can adjust the brightness of the output image (IMG1) so that the output image (IMG1) maintains an appropriate brightness level. For example, color temperature adjustment can change the overall color tone of the output image (IMG1) by adjusting the color temperature of the output image (IMG1). For example, contrast adjustment can adjust the contrast between the light and dark parts of the output image (IMG1). For example, color adjustment can improve the overall color balance of the output image (IMG1) by adjusting the hue and intensity of a specific color. For example, saturation adjustment can change the mood of the output image (IMG1) by adjusting the intensity of a color. For example, sharpness adjustment can change the sharpness of the output image (IMG1) so that edges and details appear more distinct.

[0086] As shown in FIG. 7, the display device (400) can display (operation 710) an output image (IMG1) with increased color reproducibility for input image data according to color reproducibility calibration corresponding to the color temperature of an external light source (ELS). For example, the display device (400) can display an output image (IMG1) whose color reproducibility is consistent and whose color expression matches that of the input image data, regardless of external lighting conditions, by performing color reproducibility calibration optimized for the color temperature of the external light source (ELS) based on the first color reproducibility modeling data.

[0087] Accordingly, the display device (400) of the present disclosure can accurately reproduce the colors of input image data even under various lighting environments, thereby increasing the color reproduction accuracy of the output image (IMG1). Consequently, the display device (400) of the present disclosure can provide an improved visual experience to the user.

[0088] FIG. 8 illustrates an operation sequence of a display device (400) according to one embodiment of the present disclosure, FIG. 9 illustrates a reflection characteristic of a display device (400) according to one embodiment of the present disclosure, and FIG. 10 illustrates a display operation based on color reproduction calibration according to one embodiment of the present disclosure.

[0089] Referring to FIGS. 8 to 10, the display device (400) may estimate a color temperature of at least one external light source (ELS) based on sensing the at least one external light source (ELS) (operation 810), perform color reproduction calibration corresponding to the color temperature of the at least one external light source (ELS) based on first color reproduction modeling data (operation 820), and perform color reproduction calibration corresponding to the reflection characteristics of the display panel (410) based on second color reproduction modeling data (operation 830).

[0090] For example, in operation 810, the display device (400) may estimate a color temperature of at least one external light source (ELS) based on sensing the at least one external light source (ELS). For example, the display device (400) may display an output image based on input image data under predetermined lighting conditions. The predetermined lighting conditions may include at least one external light source (ELS). The at least one external light source (ELS) may have a predetermined color temperature.

[0091] The display device (400) can estimate the color temperature of at least one external light source (ELS) based on sensing data. The display device (400) can estimate an area corresponding to the color of at least one external light source (ELS) in the LAB color space. The LAB color space can express the brightness and color of a color as positional information in a color space implemented with the L-axis, the a-axis, and the b-axis. The L-axis can express brightness as positional information. The a-axis and the b-axis can express a predetermined color as positional information. For example, the a-axis can represent a color ranging from green to red. For example, the b-axis can represent a color ranging from blue to yellow. The display device (400) can classify at least one external light source (ELS) as at least one standard light source defined by the International Commission on Illumination based on the sensing data.

[0092] According to an example, in operation 820, the display device (400) can perform color reproduction calibration corresponding to the color temperature of the at least one external light source (ELS) based on the first color reproduction modeling data.

[0093] The first color reproduction modeling data may include first reproduction color data of a reference color panel (RCP) according to the lighting conditions of at least one standard illuminant defined by the International Commission on Illumination (CIE). For example, the first reproduction color data may include a correlation between changes in color temperature and reproduction color by modeling the reproduction color of the reference color panel (RCP) for at least one standard illuminant using a predetermined measuring device (600).

[0094] At least one standard illuminant may include a first standard illuminant to a fifth standard illuminant. For example, the at least one standard illuminant may include at least one of CIE A, CIE F2, CIE D50, CIE D65, or CIE D75 as defined by the International Commission on Illumination. The first standard illuminant is a light source in the color temperature range of 2000 K to 4000 K, and may include CIE A. The second standard illuminant is a light source in the color temperature range of 4000 K to 5000 K, and may include CIE F2. The third standard illuminant is a light source in the color temperature range of 5000 K to 6000 K, and may include CIE D50. The fourth standard illuminant is a light source in the color temperature range of 6000 K to 7000 K, and may include CIE D65. The fifth standard illuminant is a light source with a color temperature range of 7000K to 12000K, and may include CIE D75.

[0095] A reference color panel (RCP) may include at least 24 color patches having different color values. The reference color panel (RCP) may be a color checker for performing color reproduction modeling using at least 24 color patches. The reference color panel (RCP) may be used to collect reproduced colors according to various standard illuminants within the measurement device (600).

[0096] According to an example, in operation 830, the display device (400) can perform color reproduction calibration corresponding to the reflection characteristics of the display panel (410) based on the second color reproduction modeling data.

[0097] The second color reproduction modeling data may include second reproduction color data of the reference color panel (RCP) according to the reflection characteristics of the display panel (410) under certain lighting conditions. For example, the second color reproduction modeling data may include a correlation between the reflection characteristics and the reproduction color by modeling the reproduction color of the reference color panel (RCP) for the reflection characteristics of each film type of the display panel (410) using the display panel (410) information.

[0098] The reflective characteristic may include at least one of the reflectivity of the display panel (410) or the viewing angle of the display panel (410). The reflectivity of the display panel (410) and the viewing angle of the display panel (410) may vary depending on the film type of the display panel (410). For example, the film type of the display panel (410) may include at least one of a matte type, a semi-gloss type, or a high gloss type.

[0099] As shown in Figure 9 (a), the matte type has low reflectivity and can evenly disperse light. The matte type has diffuse reflection characteristics and can minimize specular reflection. The matte type has a relatively wide viewing angle and can exhibit low color change rates depending on the angle.

[0100] As shown in Figure 9 (b), the semi-gloss type can have a reflectivity that produces moderate light reflection and glare. The semi-gloss type has reflectivity characteristics that are intermediate between diffuse and specular reflection, with some light being directly reflected and some being scattered. The semi-gloss type can have a narrower viewing angle than the matte type, but a wider viewing angle than the high-gloss type.

[0101] As shown in Figure 9 (c), the high-gloss type has high reflectivity and can strongly reflect light. The high-gloss type has specular reflection characteristics, allowing images to be clearly reflected from the surface. The high-gloss type has a relatively narrow viewing angle, and color or contrast changes may occur depending on the angle.

[0102] The second color reproduction modeling data can analyze the reflection characteristics of the display panel (410) based on measuring the SCE (Specular Component Excluded) value of the display panel (410). For example, the SCE value can be a value that measures the remaining light (e.g., diffuse reflection light) excluding the specular component of light reflected from the surface of the display panel (410) (e.g., regular reflection light). The SCE value can mean a color recognized when the display panel (410) is viewed by a human eye. For example, the SCE value can be an indicator of the degree to which the display panel (410) disperses light (e.g., diffuse reflection).

[0103] Color reproduction calibration can increase the color reproduction rate of the output image (IMG1) with respect to the input image data by adjusting at least one of the brightness, color temperature, contrast, hue, saturation, or sharpness of the output image (IMG1). For example, color reproduction calibration can change at least one adjustment value of the output image (IMG1) so that the output image (IMG1) accurately expresses the color of the input image data.

[0104] For example, brightness adjustment can adjust the brightness of the output image (IMG1) so that the output image (IMG1) maintains an appropriate brightness level. For example, color temperature adjustment can change the overall color tone of the output image (IMG1) by adjusting the color temperature of the output image (IMG1). For example, contrast adjustment can adjust the contrast between the light and dark parts of the output image (IMG1). For example, color adjustment can improve the overall color balance of the output image (IMG1) by adjusting the hue and intensity of a specific color. For example, saturation adjustment can change the mood of the output image (IMG1) by adjusting the intensity of a color. For example, sharpness adjustment can change the sharpness of the output image (IMG1) so that edges and details appear more distinct.

[0105] In one embodiment, the display device (400) can perform color reproduction calibration based on at least one of the first color reproduction modeling data or the second color reproduction modeling data. For example, the display device (400) can classify an external light source (ELS) as at least one standard light source, and can adjust at least one of brightness, color temperature, contrast, hue, saturation, or sharpness of the output image (IMG1) so that the color of the input image data is accurately expressed at the color temperature of the external light source (ELS) based on the first color reproduction modeling data. For example, the display device (400) can adjust at least one of brightness, color temperature, contrast, hue, saturation, or sharpness of the output image (IMG1) so that the color of the input image data is accurately expressed according to the SCE value of the display panel (410) based on the second color reproduction modeling data.

[0106] As shown in FIG. 10, the display device (400) can display (operation 1010) an output image with increased color reproducibility for input image data according to color reproducibility calibration corresponding to the color temperature of the external light source (ELS) and the reflective characteristics of the display panel (410). For example, the display device (400) can display an output image whose reproducible colors are consistent and whose color expression matches that of the input image data regardless of external lighting conditions by performing color reproducibility calibration optimized for the color temperature of the external light source (ELS) based on first color reproducibility modeling data. For example, the display device (400) can display an output image whose reproducible colors are consistent and whose color expression matches that of the input image data regardless of the SCE value of the display panel (410) by performing color reproducibility calibration optimized for the reflective characteristics of the display panel (410) based on second color reproducibility modeling data.

[0107] FIG. 11 illustrates an art gallery mode of a display device (1100) according to one embodiment of the present disclosure, and FIG. 12 illustrates an operation sequence of the display device (1100) when automatically entering the art gallery mode.

[0108] Referring to FIG. 11, the display device (1100) can operate in art gallery mode. The art gallery mode can perform color reproduction calibration to accurately and vividly reproduce the colors of a work of art or a high-quality image when displaying an art gallery image on the display device (1100). For example, the art gallery mode can finely adjust the color, saturation, brightness, and white balance to accurately display the original color and texture of the work of art or a high-quality image. In other words, the art gallery mode can be an advanced function designed for users who value the details of a work of art or a high-quality image. For example, the art gallery mode can perform color reproduction calibration optimized for a work of art or a high-quality image included in the input image data.

[0109] Referring to FIG. 12, the display device (1100) may enter an art gallery mode (operation 1210) based on identifying an art gallery image from input image data, and perform color reproduction calibration for the art gallery image based on at least one of the first color reproduction modeling or the second color reproduction modeling (operation 1220).

[0110] According to an example, in operation 1210, the display device (1100) may enter an art gallery mode based on identifying an art gallery image from input image data. For example, the display device (1100) may determine whether the input image data includes an art gallery image. For example, the display device (1100) may identify the art gallery image using an artificial intelligence model composed of a plurality of artificial neural networks. The artificial neural network may include a deep neural network (DNN). For example, the artificial neural network may include at least one of a convolutional neural network (CNN), a deep neural network (DNN), a RecuREnt neural network (RNN), a restricted boltzmann machine (RBM), a deep belief network (DBN), a bidirectional RecuREnt deep neural network (BRDNN), or deep Q-networks. When the display device (1100) determines that the input image data includes an art gallery image, the display device (1100) may automatically enter an art gallery mode.

[0111] In one example, in operation 1220, the display device (1100) may perform the color reproduction calibration for the art gallery image based on at least one of the first color reproduction modeling or the second color reproduction modeling. For example, the display device (1100) may classify an external light source (ELS) as at least one standard light source, and may adjust at least one of brightness, color temperature, contrast, hue, saturation, or sharpness of the output image (IMG2) so that the color of the art gallery image is accurately expressed at the color temperature of the external light source (ELS) based on the first color reproduction modeling data. For example, the display device (1100) may adjust at least one of brightness, color temperature, contrast, hue, saturation, or sharpness of the output image (IMG2) so that the color of the art gallery image is accurately expressed according to the SCE value of the display panel (1110) based on the second color reproduction modeling data.

[0112] FIG. 13 illustrates an operation sequence of a display device (1100) when manually entering an art gallery mode, FIG. 14 illustrates a control device for controlling a display device (1100) according to one embodiment of the present disclosure, and FIG. 15 illustrates a user interface of a display device (1100) according to one embodiment of the present disclosure.

[0113] Referring to FIG. 13, the display device (1100) may enter an art gallery mode based on a user input (operation 1310) and perform color reproduction calibration for an art gallery image based on a user setting (operation 1320).

[0114] In one example, at operation 1310, the display device (1100) may enter an art gallery mode based on a user input. For example, the display device (1100) may receive a user input requesting entry into the art gallery mode. For example, the user may transmit the user input to the display device (1100) via at least one of a physical button (e.g., a switch, a key), a touchscreen interface, a voice command, a mobile application, or a remote control.

[0115] In one embodiment, the display device (1100) can receive the user input from an external control device (1400a, 1400b). For example, as shown in (a) of FIG. 14, the control device (1400a) can be a universal remote controller. For example, as shown in (b) of FIG. 14, the control device (1400b) can be a smart remote controller. The control devices (1400a, 1400b) can include a hot key (HK) for entering the art gallery mode. For example, a user can transmit a user input requesting entry into the art gallery mode to the display device (1100) using the hot key (HK) of the control devices (1400a, 1400b). In this case, the display device (1100) can manually enter the art gallery mode based on user input received from the control device (1400a, 1400b).

[0116] In one example, at operation 1320, the display device (1100) may perform color reproducibility calibration for the art gallery image based on user settings. For example, the color reproducibility calibration may increase the color reproducibility of the art gallery image of the output image (IMG2) by adjusting at least one of brightness, color temperature, contrast, hue, saturation, or sharpness of the output image (IMG2) based on user settings.

[0117] In one embodiment, the display device (1100) may provide a user interface for changing user settings. For example, as shown in FIG. 15, the display device (1100) may provide a user interface for changing the user settings, including at least one of Art Gallery Mode Clarity, Light Source, Reflection, and Directional Viewing Angle. The user may change at least one setting of the Gallery Mode Clarity, Light Source, Reflection, or Directional Viewing Angle through the user interface.

[0118] FIG. 16 illustrates an image processing method for color reproduction calibration according to one embodiment of the present disclosure.

[0119] Referring to FIG. 16, the image processing method of the present disclosure generates first color reproduction modeling data by modeling a color to be reproduced according to a type of light source (operation 1610), generates second color reproduction modeling data by modeling a color to be reproduced according to a reflection characteristic of a display panel (410) (operation 1620), estimates a color temperature of at least one external light source (ELS) based on sensing the at least one external light source (ELS) (operation 1630), and performs color reproduction calibration to increase a color reproducibility of input image data of an output image (operation 1640).

[0120] According to an example, in operation 1610, the image processing method may generate first color reproduction modeling data by modeling a color reproduction according to a type of light source. For example, the first color reproduction modeling data may include first color reproduction data of a reference color panel (RCP) according to lighting conditions of at least one standard light source defined by the International Commission on Illumination (CIE). For example, the image processing method may generate first color reproduction data including a correlation between a change in color temperature and a color reproduction by modeling the color reproduction of the reference color panel (RCP) for at least one standard light source using a predetermined measuring device (600). For example, the at least one standard light source may include at least one of CIE A, CIE F2, CIE D50, CIE D65, and CIE D75 defined by the International Commission on Illumination. The reference color panel (RCP) may be a color checker for performing color reproduction modeling using at least 24 color patches.

[0121] For example, in operation 1620, the image processing method may generate second color reproduction modeling data by modeling a reproduction color according to a reflection characteristic of the display panel (410). For example, the second color reproduction modeling data may include second reproduction color data of the reference color panel (RCP) according to the reflection characteristic of the display panel (410) under a predetermined lighting condition. For example, the image processing method may generate second color reproduction modeling data including a correlation between a reflection characteristic and a reproduction color by modeling a reproduction color of the reference color panel (RCP) for a reflection characteristic of each film type of the display panel (410) using information about the display panel (410).

[0122] In one embodiment, the display panel (410) information may include an SCE (Specular Component Excluded) value of the display panel (410). For example, the SCE value may be a value that measures the remaining light (e.g., diffuse light) excluding the specular component of light reflected from the surface of the display panel (410) (e.g., regular light).

[0123] In one embodiment, the reflective characteristic may include at least one of a reflectivity of the display panel (410) or a viewing angle of the display panel (410). The reflectivity of the display panel (410) and the viewing angle of the display panel (410) may vary depending on the film type of the display panel (410). For example, the film type of the display panel (410) may include at least one of a matte type, a semi-gloss type, or a high gloss type.

[0124] According to an example, in operation 1630, the image processing method may estimate a color temperature of at least one external light source (ELS) based on sensing the at least one external light source (ELS). For example, the image processing method may estimate the color temperature of the at least one external light source (ELS) based on sensing data. The image processing method may estimate an area corresponding to a color of the at least one external light source (ELS) in a LAB color space. The LAB color space may express the brightness and color of a color as positional information in a color space implemented by an L-axis, an a-axis, and a b-axis. The L-axis may express brightness as positional information. The a-axis and the b-axis may express a predetermined color as positional information. For example, the a-axis may represent a color ranging from green to red. For example, the b-axis may represent a color ranging from blue to yellow. The image processing method may classify the at least one external light source (ELS) as at least one standard light source defined by the International Commission on Illumination based on the sensing data.

[0125] For example, in operation 1640, the image processing method may perform color reproduction calibration to increase the color reproduction rate of input image data of the output image. For example, the image processing method may adjust at least one of brightness, color temperature, contrast, hue, saturation, or sharpness of the output image based on at least one of the first color reproduction modeling data or the second color reproduction modeling data.

[0126] For example, brightness adjustment can adjust the brightness of the output image to maintain an appropriate brightness level. For example, color temperature adjustment can change the overall color tone of the output image by adjusting the color temperature of the output image. For example, contrast adjustment can adjust the contrast between light and dark parts of the output image. For example, color adjustment can improve the overall color balance of the output image by adjusting the hue and intensity of specific colors. For example, saturation adjustment can change the mood of the output image by adjusting the intensity of colors. For example, sharpness adjustment can change the sharpness of the output image to make edges and details more distinct.

[0127] In one embodiment, the display device (400) can perform color reproduction calibration based on at least one of the first color reproduction modeling data or the second color reproduction modeling data. For example, the display device (400) can classify an external light source (ELS) as at least one standard light source, and can adjust at least one of brightness, color temperature, contrast, hue, saturation, or sharpness of the output image so that the color of the input image data is accurately expressed at the color temperature of the external light source (ELS) based on the first color reproduction modeling data. For example, the display device (400) can adjust at least one of brightness, color temperature, contrast, hue, saturation, or sharpness of the output image so that the color of the input image data is accurately expressed according to the SCE value of the display panel (410) based on the second color reproduction modeling data.

[0128] In this way, the image processing method of the present disclosure can detect the color temperature of an external light source and adaptively adjust image quality based on the color temperature of the external light source. Furthermore, the image processing method of the present disclosure can perform image quality adjustment optimized for the reflective characteristics of the display panel.

[0129] Therefore, the image processing method of the present disclosure can accurately reproduce the colors of input image data even under various lighting conditions, thereby increasing the color reproduction accuracy of the output image. Consequently, the image processing method of the present disclosure can provide an improved visual experience to the user. However, since this has been described above, a redundant description thereof will be omitted.

[0130] The display devices according to the various embodiments disclosed in this document may take various forms. The display devices may include, for example, portable communication devices (e.g., smartphones), computer devices, portable multimedia devices, portable medical devices, cameras, wearable devices, or home appliances. The display devices according to the embodiments of this document are not limited to the aforementioned devices.

[0131] The various embodiments of this document and the terminology used therein are not intended to limit the technical features described in this document to specific embodiments, but should be understood to include various modifications, equivalents, or substitutes of the embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly indicates otherwise. In this document, each of the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can include any one of the items listed together in the corresponding phrase among those phrases, or all possible combinations thereof. Terms such as "first," "second," or "first" or "second" may be used merely to distinguish one component from another, and do not limit the components in any other respect (e.g., importance or order). When a component (e.g., a first component) is referred to as "coupled" or "connected" to another component (e.g., a second component), with or without the terms "functionally" or "communicatively," it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or through a third component.

[0132] The term "module" used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. A module may be an integral component, or a minimum unit or part of such a component that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0133] Various embodiments of the present document may be implemented as software (e.g., a program) including one or more instructions stored in a storage medium (e.g., built-in memory or external memory) readable by a machine (e.g., an electronic device). For example, a processor of the machine (e.g., an electronic device) may call at least one instruction among the one or more instructions stored from the storage medium and execute it. This enables the machine to operate to perform at least one function according to the at least one instruction called. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' only means that the storage medium is a tangible device and does not contain a signal (e.g., electromagnetic waves), and this term does not distinguish between cases where data is stored semi-permanently and cases where it is stored temporarily in the storage medium.

[0134] According to one embodiment, the method according to various embodiments disclosed in the present document may be provided as included in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory (CD-ROM)), or may be distributed online (e.g., downloaded or uploaded) via an application store (e.g., Play Store™) or directly between two user devices (e.g., smart phones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0135] According to various embodiments, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to various embodiments, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to various embodiments, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

Claims

1. In the display device (200), A memory (220) storing a program including at least one instruction; and At least one processor (230) connected to the memory and executing at least one instruction of a program stored in the memory, At least one processor, Based on sensing at least one external light source, estimating a color temperature of the at least one external light source, Performing color reproduction calibration corresponding to the color temperature of at least one external light source based on the first color reproduction modeling data, The above color reproduction calibration is, By adjusting at least one of brightness, color temperature, contrast, hue, saturation, or sharpness of the output image, the color reproducibility of the input image data of the output image is increased. Display device.

2. In paragraph 1, The above first color reproduction modeling data is, Contains first reproduction color data of a reference color panel according to the lighting conditions of at least one standard light source defined by the International Commission on Illumination (CIE), Display device.

3. In paragraph 2, At least one standard illuminant is, Containing at least one of CIE A, CIE F2, CIE D50, CIE D65, or CIE D75 as defined by the International Commission on Illumination, Display device.

4. In paragraph 2, The above reference color panel is, Containing at least 24 color patches with different color values, Display device.

5. In any one of paragraphs 2 to 4, At least one processor, Color reproduction calibration corresponding to the reflection characteristics of the display panel is performed based on the second color reproduction modeling data, The above second color reproduction modeling data is, Under certain lighting conditions, the second reproduction color data of the reference color panel according to the reflection characteristics of the display panel is included. Display device.

6. In paragraph 5, The above reflection characteristics are, Including at least one of the reflectivity of the display panel or the viewing angle of the display panel, Display device.

7. In any one of paragraphs 2 to 4, At least one processor, Entering the art gallery mode based on identifying an art gallery image from the above input image data, Performing the color reproduction calibration for the art gallery image based on at least one of the first color reproduction modeling or the second color reproduction modeling, Display device.

8. In any one of paragraphs 2 to 4, At least one processor, Enter art gallery mode based on user input, Performing the color reproduction calibration for the art gallery images based on user settings, Display device.

9. In paragraph 8, At least one processor, Receive the user input from an external control device, The above control device, Including a hotkey to enter the above art gallery mode, Display device.

10. In paragraph 8, At least one processor, Providing a user interface for changing the user settings including at least one of the sharpness, light source type, reflectivity, or viewing angle of the art gallery mode; Display device.

11. In an image processing method for color reproduction calibration, An operation (1610) of generating first color reproduction modeling data by modeling the color to be reproduced according to the type of light source; An operation (1620) of generating second color reproduction modeling data by modeling the color reproduction according to the reflection characteristics of the display panel; An operation (1630) of estimating a color temperature of at least one external light source based on sensing at least one external light source; and Includes an operation (1640) of performing color reproduction calibration to increase the color reproducibility of input image data of an output image, The operation to perform the above color reproduction calibration is: Adjusting at least one of brightness, color temperature, contrast, hue, saturation, or sharpness of the output image based on at least one of the first color reproduction modeling data and the second color reproduction modeling data. Image processing method.

12. In paragraph 11, The operation of generating the above first color reproduction modeling data is: By modeling the reproducible colors of a reference color panel according to the lighting conditions of at least one standard light source defined by the International Commission on Illumination (CIE), the first color reproduction modeling data including the first reproducible color data is generated. Image processing method.

13. In paragraph 12, At least one standard illuminant is, Containing at least one of CIE A, CIE F2, CIE D50, CIE D65, or CIE D75 as defined by the International Commission on Illumination, Image processing method.

14. In paragraph 12, The above reference color panel is, Containing at least 24 color patches with different color values, Image processing method.

15. In any one of paragraphs 12 to 14, The operation of generating the above second color reproduction modeling data is: By modeling the reproducible color of the reference color panel according to the reflection characteristics of the display panel under a given lighting condition, the second color reproduction modeling data including the second reproducible color data is generated. Image processing method.

Images