Display device and image quality setting method thereof

Abstract

The present invention relates to a method for setting a personal adaptive image quality by reflecting subjective image quality preference characteristics of a user, which can receive an instruction to select a plurality of images from an image list, acquire a plurality of scores of a plurality of image quality elements corresponding to each of the plurality of images selected according to the received instruction, and display the plurality of scores of the plurality of image quality elements. An average score and a variance score of each image quality element are calculated based on the acquired plurality of scores, an initial image quality setting value is acquired based on the calculated average score and variance score, and an adjusted image quality setting value is generated from the initial image quality setting value by using an image quality adjustment model.

Description

Technical Field

[0001] The invention relates to a method for setting image quality of a display device. Background Art

[0002] Digital television services using wired or wireless communication networks are becoming more and more popular. Digital television services can provide various services that cannot be provided by existing analog broadcasting services.

[0003] For example, IPTV (Internet Protocol Television) and smart TV, which are digital TV service types, provide bidirectionality, allowing users to actively choose the type and time of programs to watch. IPTV and smart TV services can also provide various additional services based on this bidirectionality, such as Internet search, TV shopping, online games, etc. Summary of the invention

[0004] Problems to be solved by the invention

[0005] The purpose of the present invention is to set the personal adaptive picture quality by reflecting the subjective picture quality preference characteristics of the user.

[0006] An object of the present invention is to enable even a user who is not familiar with the terminology of image quality to set the optimum image quality simply by selecting a favorite image.

[0007] Technical solutions to the problem

[0008] A display device of an embodiment of the present invention may include: a display, displaying an image list; and a controller, receiving an instruction to select a plurality of images from the image list, obtaining a plurality of scores of a plurality of image quality elements corresponding to each of the plurality of images selected according to the received instruction, calculating an average score and a variance score of each image quality element based on the obtained plurality of scores, obtaining an initial image quality setting value based on the calculated average score and variance score, and using an image quality adjustment model to generate an adjusted image quality setting value from the initial image quality setting value.

[0009] The picture quality setting method of the display device of the embodiment of the present invention may include: a step of displaying an image list; a step of receiving an instruction to select a plurality of images from the image list; a step of obtaining a plurality of scores of a plurality of picture quality elements corresponding to each of the plurality of images selected according to the received instruction; a step of calculating an average score and a variance score of each picture quality element based on the obtained plurality of scores; a step of obtaining an initial picture quality setting value based on the calculated average score and variance score; and a step of using a picture quality adjustment model to generate an adjusted picture quality setting value from the initial picture quality setting value.

[0010] Effects of the Invention

[0011] According to the embodiments of the present invention, a method for setting image quality that is tailored to the individual's needs can be provided by reflecting the user's subjective image quality preference characteristics.

[0012] As a result, even users who are not familiar with picture quality terms can get a differentiated experience by setting the optimal picture quality simply by selecting their favorite picture. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a block diagram showing the structure of a display device according to an embodiment of the present invention.

[0014] Figure 2 It is a flowchart for explaining a method for setting image quality of a display device according to an embodiment of the present invention.

[0015] Figure 3a to Figure 3c FIG. 1 is a diagram for explaining a process in which a user selects a plurality of images according to an embodiment of the present invention.

[0016] Figure 4 FIG. 1 is a diagram showing the scores of image quality elements of each selected image according to an embodiment of the present invention.

[0017] Figure 5 is a diagram illustrating a two-dimensional image quality vector according to an embodiment of the present invention.

[0018] Figure 6a is a diagram illustrating an average setting function according to an embodiment of the present invention, Figure 6b is a graph illustrating the penalty function.

[0019] Figure 7a It is a diagram for explaining an image quality adjustment model according to an embodiment of the present invention.

[0020] Figure 7b This is a diagram illustrating the output results of the image quality adjustment model.

[0021] Figure 8 FIG. 1 is a diagram illustrating a process of storing a personal adaptive image quality setting value according to an embodiment of the present invention.

[0022] Fig. 9 This is a diagram for explaining the process of applying the stored image quality setting value to the input image.

[0023] Fig.10 FIG. 1 is a diagram for explaining an example of guiding a user on the difference in image quality between a default image quality mode and a personalized image quality mode according to an embodiment of the present invention.

[0024] Fig.11 This is a diagram for explaining a process of receiving a picture quality setting value of an external device when receiving an image from the external device according to an embodiment of the present invention.

[0025] Fig.12 This is a diagram comparing an image selected by a user and a result image outputted by applying an image quality adjustment model to the selected image according to an embodiment of the present invention.

[0026] Fig.13 FIG. 1 is a diagram showing an application example of an image in which an output result of an image quality adjustment model is reflected and an image in which an output result of an image quality adjustment model is not reflected according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] The following is a more detailed description of embodiments of the present invention with reference to the accompanying drawings. The suffixes "module" and "unit" used in the following description for the components are only given or used interchangeably for the convenience of writing the specification, and do not have any meaning or function to distinguish between them.

[0028] The display device of the embodiment of the present invention is, for example, an intelligent display device that adds a computer support function to a broadcast receiving function. While fully performing the broadcast receiving function, it also adds an Internet function, etc., so that it can have a more convenient interface such as a handwriting input device, a touch screen or a space remote controller. In addition, by connecting to the Internet and a computer with the support of a wired or wireless Internet function, it can also perform functions such as e-mail, web browsing, banking or games. In order to realize such various functions, a standardized general-purpose OS (operating system) can be used.

[0029] Therefore, in the display device described in the present invention, for example, various applications can be freely added or deleted on a general OS kernel, so that various user-friendly functions can be performed. More specifically, the display device can be, for example, an Internet TV, HBBTV (hybrid broadcast broadband TV), a smart TV, an LED TV (liquid crystal TV), an OLED TV (organic light emitting diode TV), etc., and can also be applied to a smartphone according to circumstances.

[0030] Figure 1 This is a block diagram showing the structure of a display device according to an embodiment of the present invention.

[0031] Reference Figure 1 The display device 100 may include a broadcast receiving unit 130 , an external device interface 135 , a memory 140 , a user input interface 150 , a controller 170 , a wireless communication interface 173 , a display 180 , a speaker 185 , and a power supply circuit 190 .

[0032] The broadcast receiving unit 130 may include a tuner 131 , a demodulator 132 , and a network interface 133 .

[0033] The tuner 131 may select a specific broadcast channel according to a channel selection instruction. The tuner 131 may receive a broadcast signal of the selected specific broadcast channel.

[0034] The demodulator 132 may separate a received broadcast signal into a video signal, an audio signal, and a data signal associated with a broadcast program, and may restore the separated video signal, audio signal, and data signal into an outputtable form.

[0035] The external device interface 135 may receive an application program or an application program directory in an adjacent external device and transfer the received application program or application program directory to the controller 170 or the memory 140 .

[0036] The external device interface 135 may provide a connection path between the display device 100 and an external device. The external device interface 135 may receive one or more of the images and audio output from an external device connected to the display device 100 wirelessly or by wire and transmit the received audio to the controller 170. The external device interface 135 may include a plurality of external input terminals. The plurality of external input terminals may include an RGB terminal, one or more HDMI (High Definition Multimedia Interface) terminals, and a color difference component terminal.

[0037] The image signal of the external device input through the external device interface 135 may be output through the display 180 . The audio signal of the external device input through the external device interface 135 may be output through the speaker 185 .

[0038] The external device that can be connected to the external device interface 135 can be, for example, a set-top box, a Blu-ray player, a DVD player, a game console, a sound bar, a smartphone, a PC, a USB memory, or a home theater, but these are just examples.

[0039] The network interface 133 may provide an interface for connecting the display device 100 to a wired / wireless network including the Internet. The network interface 133 may transmit or receive data with other users or other electronic devices through the connected network or other networks linked to the connected network.

[0040] In addition, a part of the content data stored in the display apparatus 100 may be transmitted to other users pre-registered in the display apparatus 100 or to a user selected from other electronic devices or a selected electronic device.

[0041] The network interface 133 can access a specified web page through the connected network or other networks linked to the connected network. That is, by accessing a specified web page through the network, data can be sent or received with the corresponding server.

[0042] In addition, the network interface 133 can receive content or data provided by a content provider or a network operator. That is, the network interface 133 can receive content such as movies, advertisements, games, VOD, broadcast signals, etc. provided by a content provider or a network provider and information related thereto through a network.

[0043] In addition, the network interface 133 may receive update information and update files of firmware provided by a network operator, and may transmit data to the Internet or a content provider or a network operator.

[0044] The network interface 133 can selectively receive a desired application program among application programs open to the public through a network.

[0045] The memory 140 may store programs for processing and controlling various signals in the controller 170 , and may also store image, voice or data signals after signal processing.

[0046] In addition, the memory 140 may also perform a function for temporarily storing images, voices, or data signals input from the external device interface 135 or the network interface 133 , and may also store information related to a predetermined image through a channel memory function.

[0047] The storage 140 may store application programs or an application program directory input from the external device interface 135 or the network interface 133 .

[0048] The display device 100 can reproduce content files (video files, still image files, music files, text files, application files, etc.) stored in the memory 140 to provide to the user.

[0049] The user input interface 150 can transmit a signal input by the user to the controller 170, or transmit a signal from the controller 170 to the user. For example, the user input interface 150 can receive and process control signals such as power on / off, channel selection, and screen setting from the remote control device 200 based on various communication methods such as Bluetooth, WB (UltraWideband), ZigBee, RF (Radio Frequency) communication, or infrared (IR) communication, or can process the control signal from the controller 170 to send it to the remote control device 200.

[0050] In addition, the user input interface 150 may transmit a control signal input from a local key (not shown) such as a power key, a channel key, a volume key, and a setting key to the controller 170 .

[0051] The image signal processed by the controller 170 may be input to the display 180 and displayed as an image corresponding to the corresponding image signal. In addition, the image signal processed by the controller 170 may be input to an external output device through the external device interface 135.

[0052] The voice signal processed by the controller 170 may be audio-output to the speaker 185. In addition, the voice signal processed by the controller 170 may be input to an external output device through the external device interface 135.

[0053] In addition, the controller 170 may control the overall operation within the display device 100 .

[0054] In addition, the controller 170 may control the display apparatus 100 using a user instruction input through the user input interface 150 or an internal program, and may be connected to a network to download an application or an application directory required by a user into the display apparatus 100 .

[0055] The controller 170 may output the channel information selected by the user together with the processed image or voice signal through the display 180 or the speaker 185 .

[0056] In addition, the controller 170 may output an image signal or voice signal from an external device, such as a camera or a video camera, input through the external device interface 135 through the display 180 or the speaker 185 according to an external device image playback instruction received through the user input interface 150 .

[0057] On the other hand, the controller 170 may control the display 180 to display an image, for example, the display 180 may be controlled to display a broadcast image input through the tuner 131, an external input image input through the external device interface 135, an image input through the network interface unit, or an image stored in the memory 140. In this case, the image displayed on the display 180 may be a still image or a video, and may be a 2D image or a 3D image.

[0058] In addition, the controller 170 can control the playback of content stored in the display device 100, or received broadcast content, or external input content input from the outside. The content can be in various forms such as broadcast images, external input images, audio files, static images, visited web page screens, and text files.

[0059] The wireless communication interface 173 can communicate with an external device through wired or wireless communication. The wireless communication interface 173 can perform short range communication with an external device. To this end, the wireless communication interface 173 can use Bluetooth.TM The wireless communication interface 173 may support short-range communication by at least one of the following technologies: RFID (Radio Frequency Identification), Infrared Communication (Infrared Data Association: IrDA), UWB (Ultra Wideband), ZigBee, NFC (Near Field Communication), Wi-Fi (Wireless-Fidelity), Wi-Fi Direct (Wireless High Fidelity Direct Connection), and Wireless USB (Wireless Universal Serial Bus). Such a wireless communication interface 173 may support wireless communication between the display device 100 and a wireless communication system, or between the display device 100 and other display devices 100, or between the display device 100 and a network where the display device 100 (or an external server) is located, through a short-range wireless communication network (Wireless Area Networks). The short-range wireless communication network may be a short-range wireless personal communication network (Wireless Personal Area Networks).

[0060] Here, the other display device 100 may be a wearable device (for example, a smartwatch, smart glasses, HMD (head mounted display)), a mobile terminal such as a smart phone, etc., which can exchange data (or link) with the display device 100 of the present invention. The wireless communication interface 173 can detect (or identify) the communicative wearable devices around the display device 100.

[0061] Further, in the case where the detected wearable device is a device verified to communicate with the display device 100 of the present invention, the controller 170 may send at least a portion of the data processed in the display device 100 to the wearable device through the wireless communication interface 173. Therefore, the user of the wearable device can use the data processed in the display device 100 through the wearable device.

[0062] The display 180 may convert an image signal, a data signal, an OSD signal processed in the controller 170 or an image signal, a data signal, etc. received from the external device interface 135 into R, G, B signals, respectively, to generate a driving signal.

[0063] on the other hand, Figure 1The display device 100 shown is only one embodiment of the present invention, and some of the components shown in the figure may be integrated, added or omitted according to the specifications of the display device 100 actually implemented.

[0064] That is, two or more components can be combined into one component, or one component can be split into two or more components as needed. In addition, the functions performed in each block are intended to illustrate the embodiments of the present invention, and the specific actions or devices thereof do not limit the scope of the present invention.

[0065] According to another embodiment of the present invention, Figure 1 Different from the figure, the display device 100 may not have the tuner 131 and the demodulator 132 , and receive and play the image through the network interface 133 or the external device interface 135 .

[0066] For example, the display device 100 may be separated into an image processing device such as a set-top box for receiving broadcast signals or contents based on various network services and a content playing device for playing contents input from the image processing device.

[0067] In this case, the operation method of the display device according to the embodiment of the present invention described below can be referred to as Figure 1 The above-described display device 100 may be used to perform the above-described operations, but may also be used to perform the operations by any of a separate image processing device such as a set-top box and a content playback device having a display 180 and an audio output unit 185 .

[0068] Figure 2 It is a flowchart for explaining a method for setting image quality of a display device according to an embodiment of the present invention.

[0069] Reference Figure 2 , the controller 170 of the display device 100 receives an instruction to select a plurality of images (S201).

[0070] In one embodiment, a plurality of images may be stored in the memory 140. The plurality of images may have different values ​​of image quality elements. A value corresponding to each of the plurality of image quality elements may be matched in each image.

[0071] In another embodiment, the plurality of images may be provided by an external device connected to the external device interface 135 of the display apparatus 100 or a server connected to the network interface 133 .

[0072] The controller 170 may display an image list on the display 180 and receive an instruction to select a plurality of images from the image list.

[0073] Figure 3a to Figure 3c FIG. 1 is a diagram for explaining a process in which a user selects a plurality of images according to an embodiment of the present invention.

[0074] Hereinafter, control of the UI screen may be implemented based on a user input signal received from the remote control apparatus 200 .

[0075] Reference Figure 3a , the controller 170 may display an execution screen 310 based on an execution request of the image quality setting application installed in the display device 100 .

[0076] The operation screen 300 may include a plurality of menu items for setting the image quality of the image.

[0077] When the image item 310 is selected from the plurality of menu items, a personalized setting item 311 may be displayed.

[0078] The personalized setting item 311 may be an item for providing image quality in a personally adapted manner.

[0079] When the personalized setting item 311 is selected, Figure 3b As shown, the controller 170 may display a first image list 320 .

[0080] The first image list 320 may include a plurality of images 321 to 326. The image list 320 may be a list that guides the user to select an image matching a specific image quality element value set.

[0081] The image quality element value set may include values ​​(scores) of a plurality of image quality elements.

[0082] The plurality of image quality factors may include contrast, saturation, color temperature, sharpness, and brightness.

[0083] Preset image quality setting values ​​may be applied to each of the plurality of images 321 to 326. That is, the values ​​of the image quality elements of the respective images may be preset to be different from each other.

[0084] The user may select more than one image in the first image list 320 .

[0085] The plurality of images 321 to 326 included in the first image list 320 may have values ​​of the same or similar levels of elements except for the main image quality element.

[0086] For example, the contrasts of the plurality of images 321 to 326 included in the first image list 320 may be different from each other, and the values ​​of the remaining image quality elements except the contrast may be the same as each other. For example, when the main image quality element is not brightness, all images in the same page (same list) need to have the same average brightness.

[0087] On the other hand, after selecting one or more images from the first image list 320, as shown in FIG. Figure 3c As shown, a second image list 330 representing the next page may be displayed.

[0088] The brightness of the plurality of images 331 to 336 included in the second image list 330 may be different from each other, and the values ​​of the remaining image quality elements except the brightness may be the same as each other.

[0089] The user may select more than one image in the second image list 330 .

[0090] In another embodiment, the main image quality elements in the same page (the same list) can be limited to at most two. For example, in the first image list 320, the contrast and clarity of each image can be different, and the other image quality elements can be the same. In this way, confusion when the user makes a selection can be minimized.

[0091] Through this process, users can select their favorite images on each page.

[0092] On the other hand, through Figure 3b and Figure 3c The selected images can be images of the same type, such as landscapes, people, etc.

[0093] Restatement Figure 2 .

[0094] The controller 170 acquires a plurality of scores of a plurality of image quality elements corresponding to each selected image ( S203 ).

[0095] The controller 10 may know in advance the scores of the image quality elements of each image.

[0096] In one embodiment, the scores of the image quality elements of the image may be stored in the memory 140 .

[0097] In another embodiment, the controller 170 may request the server for the image quality factor information about the selected image, and receive the image quality factor information including the image quality scores of each image from the server. That is, the controller 170 may obtain the scores of the plurality of image quality factors corresponding to each selected image from the server.

[0098] Figure 4FIG. 1 is a diagram showing the scores of image quality elements of each selected image according to an embodiment of the present invention.

[0099] It is assumed that N images 400 - 1 to 400 -N are selected by a user's selection.

[0100] Reference Figure 4 , showing the scores of the image quality elements of the N images 400-1 to 400-N.

[0101] The scores of the image quality elements may be predetermined in each image.

[0102] Restatement Figure 2 .

[0103] The controller 170 calculates the average score and the variance score of each of the plurality of image quality elements ( S205 ).

[0104] The controller 170 may calculate the average and variance of the scores of the first image quality elements of each of the N images 400 - 1 to 400 -N.

[0105] Likewise, the controller 170 may calculate the average and variance of the scores of the second image quality elements of each of the N images 400 - 1 to 400 -N.

[0106] The controller 170 generates a two-dimensional image quality vector according to the plurality of average scores and the plurality of variance scores obtained based on the calculation result ( S207 ).

[0107] Figure 5 is a diagram illustrating a two-dimensional image quality vector according to an embodiment of the present invention.

[0108] The two-dimensional image quality vector 500 may be a vector including the average and variance of the scores of a plurality of image quality elements of each selected image.

[0109] The two-dimensional image quality vector 500 may be used later when determining an initial image quality setting value.

[0110] Restatement Figure 2 .

[0111] The controller 170 obtains an initial image quality setting value using the two-dimensional image quality vector ( S209 ).

[0112] In one embodiment, the controller 170 may use the average and variance of each image quality element to obtain the initial image quality setting value. Specifically, the controller 170 may use the following [Formula 1] to calculate the initial image quality setting value of each image quality element.

[0113] [Formula 1]

[0114] Initial_PQ_setting_value=F(PQ_score_avg)*G(PQ_score_var)+default_setting_value*[1-G(PQ_score_var)]

[0115] Among them, PQ, as Picture Quality, is a picture quality factor, PQ_score_avg is the average score of the picture quality factor, and F is a predefined average setting function.

[0116] PQ_score_var is the variance of the score of the picture quality element, and G is a predefined penalty function. The value of the penalty function may have a range of 0 to 1.

[0117] default_setting_value may be a default setting value for the image quality element.

[0118] Figure 6a is a diagram illustrating an average setting function according to an embodiment of the present invention, Figure 6b is a graph illustrating the penalty function.

[0119] First, refer to Figure 6a , the value of the average setting function can be proportional to the average of the scores.

[0120] This is because the average of the scores of the image quality elements has reliability.

[0121] Reference Figure 6b , the larger the variance of the score, the closer the value of the penalty function can be to 0.

[0122] This is because the greater the variance of the scores of the image quality elements, the lower the reliability.

[0123] When the variance of the score becomes larger, the value of the corresponding image quality factor is difficult to be trusted. Therefore, the smaller the variance, the larger the value of the penalty function can be, and conversely, the larger the variance, the smaller the value of the penalty function can be.

[0124] The value of the penalty function may have a range of 0 to 1.

[0125] Restatement Figure 2 .

[0126] The controller 170 may calculate the initial image quality setting value for each of the plurality of image quality elements using [Formula 1] and obtain the initial image quality setting value.

[0127] The controller 170 may generate adjusted picture quality setting adjustment values ​​from initial picture quality setting values ​​using a picture quality adjustment model ( S211 ).

[0128] In one embodiment, the image quality adjustment model may be a model based on an artificial neural network guided by a deep learning algorithm or a machine learning algorithm.

[0129] The image quality adjustment model may be a model for inferring processed image quality setting values ​​based on the correlation between image quality elements.

[0130] Specifically, the image quality adjustment model may be a model for inferring the adjusted image quality setting values ​​from the initial image quality setting values.

[0131] The image quality adjustment model may be stored in the memory 140 or in a server.

[0132] In the case where the image quality adjustment model is stored in the server, the controller 170 may receive the image quality setting adjustment value obtained by the server from the server.

[0133] Figure 7a is a diagram for explaining an image quality adjustment model according to an embodiment of the present invention. Figure 7b This is a diagram illustrating the output results of the image quality adjustment model.

[0134] The image quality adjustment model 700 may be a model learned by supervised learning. The training data set used in learning the image quality adjustment model may include image quality setting values ​​of a plurality of image quality elements and label data labeled with the image quality setting values.

[0135] The label data may be correct answer data reflecting the correlation between the image quality elements. The label data may be based on statistical data considering the combination between various image quality elements.

[0136] The controller 170 may obtain an input feature vector from the image quality setting value, and infer an object feature vector from the input feature vector using the image quality adjustment model 700 .

[0137] The controller 170 may learn the image quality adjustment model 700 to minimize a loss function representing a difference between an input feature vector and an object feature vector.

[0138] The controller 170 may utilize the learned picture quality adjustment model 700 to obtain adjusted picture quality setting values ​​(Adjusted PQ setting values) from initial picture quality setting values ​​(Initial PQ setting values).

[0139] On the other hand, the parameters of the image quality adjustment model can be updated by the values ​​of the image quality elements of each image selected by the user. For example, the parameters of the image quality adjustment model can adjust the weight in proportion to the average score of the image quality elements of each image selected by the user.

[0140] The user may have questions about the performance of the image quality adjustment model, or may wish to relearn the image quality adjustment model.

[0141] In this case, Figure 3b and Figure 3c The values ​​of the image quality elements of the image selected in can be excluded from the learning of the image quality adjustment model.

[0142] On the contrary, Figure 3b and Figure 3c The values ​​of image quality elements of unselected images or reselected images can be used to learn the image quality adjustment model.

[0143] In another embodiment, the training data set used for learning the image quality adjustment model can be obtained based on images of the same type. The types of images can include games, TV series, sports, movies, etc.

[0144] The image quality adjustment model can be learned by distinguishing the learning data set according to the type of the image. Therefore, the number of image quality adjustment models can be the same as the number of types of images.

[0145] Reference Figure 7b , shows image quality element setting sets 710, 720, 730 as output results of the image quality adjustment model 700 and images 740, 750, 760 reflecting the respective sets.

[0146] The first image quality element setting set 710 may be a set corresponding to clear and vivid image quality, the second image quality element setting set 720 may be a set corresponding to warm and soft image quality, and the third image quality element setting set 730 may be a set corresponding to cold and contrasty image quality.

[0147] Restatement Figure 2 .

[0148] The controller 170 stores the generated image quality setting value in the memory 140 or the server ( S213 ).

[0149] The image quality mode may include a default mode and a personalized setting mode.

[0150] The default mode may be a mode in which the values ​​of a plurality of image quality elements are set to default.

[0151] The personalized setting mode may be a mode for setting values ​​of a plurality of image quality elements in consideration of the user's image selection.

[0152] In the case where the image quality mode is set to the personalized setting mode, the controller 170 may use the image quality setting adjustment value stored in step S213 .

[0153] That is, the controller 170 may apply the stored image quality setting adjustment value to the image when playing the image and output the image.

[0154] Figure 8 is a diagram illustrating a process of storing a personal adaptive image quality setting value according to an embodiment of the present invention, Fig. 9 This is a diagram for explaining the process of applying the stored image quality setting value to the input image.

[0155] Reference Figure 8 , the controller 171 may include a picture quality controller 171 and a system driver 173 .

[0156] The image quality controller 171 can be configured according to Figure 2 The illustrated embodiment acquires a picture quality setting value for image adjustment based on a user selection, and may transfer the acquired picture quality setting value to the system driver 173 .

[0157] The system driver 173 may register the image quality setting value 800 in the memory 140 .

[0158] In another embodiment, the system driver 173 may register the image quality setting value to the server through the network interface 133 .

[0159] On the other hand, the memory 140 or the server may store sets of image quality setting values ​​corresponding to a plurality of users.

[0160] The image quality setting value set may include a plurality of image quality setting values.

[0161] That is, the image quality setting value sets of each user may be different from each other.

[0162] The controller 170 may provide a picture quality setting value set corresponding to a user identified through a user identification process.

[0163] Next, explain Fig. 9 .

[0164] Fig. 9 The following description assumes that the image quality mode operates in the personalized setting mode.

[0165] The image quality controller 171 may apply the image quality setting value stored in the memory 140 to the input image.

[0166] The image quality controller 171 may control the display 180 to output an image having a stored image quality setting value.

[0167] The image quality controller 171 may control data applied to a plurality of pixels constituting the display 180 to output an image having a stored image quality setting value.

[0168] As described above, according to the embodiments of the present invention, a method for setting image quality in a personalized manner can be provided by reflecting the user's subjective image quality preference characteristics.

[0169] As a result, even users who are not familiar with picture quality terms can get a differentiated experience by setting the optimal picture quality simply by selecting their favorite picture.

[0170] Fig.10 FIG. 1 is a diagram for explaining an example of guiding a user on the difference in image quality between a default image quality mode and a personalized image quality mode according to an embodiment of the present invention.

[0171] Reference Fig.10 , shows a sample image 1000 including a first partial image 1010 and a second partial image 1030, wherein the first partial image 1010 is applied Figure 2 The embodiment of the present invention previously applied the image of the default setting value, and the second part image 1030 is applied according to Figure 2 An embodiment of adjusting the picture quality setting value of an image.

[0172] After obtaining the adjusted image quality setting value, the controller 170 may display the first partial image 1010 before applying the adjusted image quality setting value and the second partial image 1030 after applying the adjusted image quality setting value on the display 180 through the sample image 1000 .

[0173] In addition, the controller 170 may further display a pop-up window 1050 on the display 180 to inquire whether to apply the adjusted image quality setting value.

[0174] The user may determine whether to perform the personal adaptive image quality setting after distinguishing the first partial image 1010 and the second partial image 1030 with the naked eye.

[0175] Fig.11 This is a diagram for explaining a process of receiving a picture quality setting value of an external device when receiving an image from the external device according to an embodiment of the present invention.

[0176] The external device 1100 may be a smart phone, a smart tablet, but this is only an example.

[0177] The image quality setting value of the external device 1100 may be based on Figure 2 The value set in the embodiment may also be a value set by other methods.

[0178] The display device 100 may receive an image from an external device 1100 connected to the external device interface 135 or the wireless communication interface 173 .

[0179] When receiving an image from the external device 1100 , the display apparatus 100 may also receive the image quality setting value of the external device 1100 .

[0180] The display device 100 may use the received image quality setting value as a setting value of the personalized setting mode.

[0181] In the case where the user of the external device 1100 and the display apparatus 100 is the same, the user may use the image quality setting value of the external device 1100 without performing a separate image quality setting process through the display apparatus 100 .

[0182] In another embodiment, the image quality setting value received from the external device 1100 may also be used as learning data for the image quality adjustment model.

[0183] Fig.12 This is a diagram comparing an image selected by a user and a result image outputted by applying an image quality adjustment model to the selected image according to an embodiment of the present invention.

[0184] Reference Fig.12 , showing that in Figure 3b The image 323 selected by the user and the result image 1200 in which the selected image 323 reflects the image quality setting value as the output result of the image quality adjustment model.

[0185] After obtaining the output result of the image quality adjustment model, the display device 100 may simultaneously display an arbitrary image 323 from among the selected plurality of images and a result image 1200 in which the image quality setting value is reflected in the corresponding image 323 on the display 180 .

[0186] In a case where the image 323 is selected, the controller 170 may recognize that improvement of the picture quality adjustment model is requested.

[0187] That is, the user may not be satisfied with the output result of the image quality adjustment model.

[0188] The controller 170 may relearn the image quality adjustment model using the values ​​of the image quality elements corresponding to the selected image 323 .

[0189] In another embodiment, the controller 170 may transmit the value of the image quality element corresponding to the selected image 323 to the server through the network interface 133 .

[0190] The server can use the received values ​​of the image quality elements as learning data and learn the image quality adjustment model.

[0191] Fig.13 FIG. 1 is a diagram showing an application example of an image in which an output result of an image quality adjustment model is reflected and an image in which an output result of an image quality adjustment model is not reflected according to an embodiment of the present invention.

[0192] Reference Fig.13, the controller 170 may display an image list 1300 including a plurality of images 1301 to 1306 on the display 180 .

[0193] The first image 1301, the third image 1303 and the fifth image 1305 among the multiple images 1301 to 1306 can respectively be images reflecting the output results of the image quality adjustment model, and the second image 1302, the fourth image 1304 and the sixth image 1306 can respectively be images that do not reflect the output results of the image quality adjustment model.

[0194] The first image 1301 , the third image 1303 , and the fifth image 1305 and the second image 1302 , the fourth image 1304 , and the sixth image 1306 may be displayed distinguishably from each other.

[0195] The image list 1300 may be as follows: Figure 3b A list is displayed for the user to select as in the embodiment of FIG.

[0196] As described above, by providing an image reflecting the output result of the image quality adjustment model, user-adaptive image quality setting can be achieved.

[0197] According to an embodiment of the present invention, the aforementioned method can be implemented as a processor-readable code in a medium having a program recorded thereon. Examples of processor-readable media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

[0198] The display device as described above is not limited to the configuration and method of the above-described embodiments, but the above-described embodiments can be configured by selectively combining all or part of the respective embodiments, so that various modifications can be made.

Claims

1. A display device, wherein: include: Display, which displays a list of images; as well as A controller receives an instruction to select a plurality of images from the image list, obtains a plurality of scores of a plurality of image quality elements corresponding to each of the plurality of images selected according to the received instruction, calculates an average score and a variance score of each image quality element based on the obtained plurality of scores, obtains an initial image quality setting value based on the calculated average score and variance score, and uses an image quality adjustment model to generate an adjusted image quality setting value from the initial image quality setting value.

2. The display device according to claim 1, wherein: Also includes a memory for storing the adjusted image quality setting value; The controller outputs an image in which the stored image quality setting value is reflected on the input image to the display.

3. The display device according to claim 1, wherein: The controller generates a two-dimensional image quality vector based on a plurality of average scores and a plurality of variance scores corresponding to a plurality of the image quality elements, and acquires the initial image quality setting value using the generated two-dimensional image quality vector.

4. The display device according to claim 3, wherein: The controller uses the following [Formula 1] to obtain the initial image quality setting value, [Formula 1] Initial_PQ_setting_value=F(PQ_score_avg)*G(PQ_score_var)+default_setting_value*[1-G(PQ_score_var)] PQ (Picture Quality) is a picture quality factor, PQ_score_avg is the average score of the scores of the picture quality factor, F is a predefined average setting function, PQ_score_var is the variance score of the picture quality factor, G is a predefined penalty function with a range of 0 to 1, and default_setting_value is the default setting value of the picture quality factor.

5. The display device according to claim 1, wherein: The image quality adjustment model is a model based on an artificial neural network guided by deep learning or machine learning; The training data set used in learning the image quality adjustment model includes image quality setting values ​​of a plurality of image quality elements and label data labeled with the image quality setting values, wherein the label data is correct answer data reflecting the correlation between the image quality elements.

6. The display device according to claim 1, wherein: The controller sequentially displays a plurality of image lists, wherein the values ​​of one image quality element of the images included in each image list are different from each other, and the values ​​of the remaining image quality elements are the same as each other.

7. The display device according to claim 1, wherein: The controller displays, on the display, a first image to which a default setting value is applied and a second image to which the image quality setting value is applied.

8. A method for setting image quality of a display device, wherein: include: Steps to display a list of images; The step of receiving an instruction to select a plurality of images from said image list; The step of acquiring a plurality of scores of a plurality of image quality elements corresponding to each of a plurality of images selected according to the received instruction; The step of calculating the average score and variance score of each image quality element based on the obtained plurality of scores; The step of obtaining an initial image quality setting value based on the calculated average score and variance score; as well as The step of generating adjusted image quality setting values ​​from the initial image quality setting values ​​using an image quality adjustment model.

9. The method for setting image quality of a display device according to claim 8, wherein: Also includes: The step of storing the adjusted image quality setting value; as well as The step of outputting an image in which the stored image quality setting value is reflected with respect to the input image.

10. The method for setting image quality of a display device according to claim 8, wherein: The step of obtaining the initial image quality setting value comprises: A step of generating a two-dimensional image quality vector based on a plurality of average scores and a plurality of variance scores corresponding to a plurality of the image quality elements; and The step of obtaining the initial image quality setting value by using the generated two-dimensional image quality vector.

11. The method for setting image quality of a display device according to claim 10, wherein: The step of obtaining the initial image quality setting value by generating the two-dimensional image quality vector comprises: The step of obtaining the initial image quality setting value using the following [Formula 1], [Formula 1] Initial_PQ_setting_value=F(PQ_score_avg)*G(PQ_score_var)+default_setting_value*[1-G(PQ_score_var)] PQ (Picture Quality) is a picture quality factor, PQ_score_avg is the average score of the scores of the picture quality factor, F is a predefined average setting function, PQ_score_var is the variance score of the picture quality factor, G is a predefined penalty function with a range of 0 to 1, and default_setting_value is the default setting value of the picture quality factor.

12. The method for setting image quality of a display device according to claim 8, wherein: The image quality adjustment model is a model based on an artificial neural network guided by deep learning or machine learning; The training data set used in learning the image quality adjustment model includes image quality setting values ​​of a plurality of image quality elements and label data labeled with the image quality setting values, wherein the label data is correct answer data reflecting the correlation between the image quality elements.

13. The method for setting image quality of a display device according to claim 8, wherein: Also included is the step of sequentially displaying a plurality of image lists; Among the images included in each image list, the value of one image quality element is different from each other, and the values ​​of the remaining image quality elements are the same as each other.

14. The method for setting image quality of a display device according to claim 8, wherein: The method further includes the step of displaying a first image to which a default setting value is applied and a second image to which the image quality setting value is applied.

Images