Display device, electronic device, and calibration method thereof

Abstract

Disclosed is a calibration method of a plurality of LED pixels included in a display device. The calibration method comprises the steps of: obtaining a first correction coefficient corresponding to each of a plurality of LED pixels and corresponding to a high grayscale equal to or greater than a threshold grayscale; and obtaining a second correction coefficient corresponding to each of the plurality of LED pixels and corresponding to a low grayscale less than the threshold grayscale. In the step of obtaining the second correction coefficient, the second correction coefficient is obtained on the basis of the first correction coefficient and a third correction coefficient corresponding to a low grayscale measured for each of R, G, and B colors for each pixel group including the plurality of LED pixels, or the second correction coefficient is obtained on the basis of the first correction coefficient and a white (W) brightness value corresponding to the low grayscale measured for each pixel group.

Description

Display devices, electronic devices and calibration methods thereof

[0001] The present disclosure relates to a display device, an electronic device and a calibration method thereof, and more particularly, to a display device including LED pixels, an electronic device and a calibration method thereof.

[0002] Advances in electronic technology have led to the development and proliferation of various types of electronic devices. In particular, display devices, used in a variety of settings, including homes, offices, and public spaces, have been continuously evolving in recent years.

[0003] LED displays are assembled into screens by assembling modules composed of multiple LED pixels. LED displays are installed for various purposes, such as on roads, in subway stations, shopping malls, sports stadiums, homes, and offices. As the types of LED displays diversify and the content they display diversifies, not only high-grayscale characteristics but also low-grayscale and ultra-low-grayscale characteristics have become increasingly important. However, measuring low-grayscale values ​​can lead to low luminance, which can prevent measurement from occurring at all or, even if measured, reduce the reliability of the measured data. For example, the difficulty in distinguishing between noise and data can lead to noise being perceived as data or vice versa.

[0004] A display device according to one or more embodiments includes a display including a plurality of LED pixels; a memory in which a first correction coefficient corresponding to a high grayscale higher than a threshold grayscale and a second correction coefficient corresponding to a low grayscale lower than the threshold grayscale are stored, each corresponding to the plurality of LED pixels; and one or more processors for driving the display by applying a correction coefficient for each grayscale obtained based on the first correction coefficient and the second correction coefficient to each of the plurality of LED pixels. The second correction coefficient is obtained based on the first correction coefficient and a third correction coefficient corresponding to a low grayscale measured for each of R, G, and B colors for each pixel group including the plurality of LED pixels, or is obtained based on the first correction coefficient and a W (White) luminance value corresponding to the low grayscale measured for each pixel group.

[0005] According to one embodiment, the second correction coefficient may be a value obtained based on the operation of the first correction coefficient per pixel and the third correction coefficient per pixel.

[0006] According to one embodiment, the first correction coefficient per pixel includes a high-gray correction coefficient per pixel, the third correction coefficient per pixel includes a low-gray correction coefficient per pixel measured for each R, G, and B color for each pixel group including a plurality of LED pixels, and the calculated values ​​of the first correction coefficient and the third correction coefficient may include a low-gray correction coefficient value corresponding to each of the plurality of pixels included in each pixel group.

[0007] According to one embodiment, the second correction coefficient may be obtained based on the luminance values ​​of the R, G, B colors corresponding to the low grayscale for each pixel, when the luminance values ​​of the R, G, B colors corresponding to the low grayscale for each pixel are obtained based on the high grayscale R, G, B, W luminance values ​​and the W luminance values ​​corresponding to the low grayscale measured for each pixel group.

[0008] According to one embodiment, the third correction coefficient can be obtained by simultaneously turning on a plurality of LED pixels included in a pixel group for each R, G, and B color and measuring a low-gray value.

[0009] An electronic device according to one or more embodiments includes: a camera; a memory storing at least one command; and at least one processor connected to the camera and the memory and controlling the electronic device, wherein the at least one processor obtains, by executing the at least one command, a first correction coefficient corresponding to a high grayscale higher than a threshold grayscale corresponding to each of a plurality of LED pixels included in a display device based on photographed data acquired through the camera, and obtains a second correction coefficient corresponding to a low grayscale lower than the threshold grayscale corresponding to each of the plurality of LED pixels. The at least one processor obtains, by executing the at least one command, the second correction coefficient based on the first correction coefficient and a third correction coefficient corresponding to a low grayscale measured for each pixel group including the plurality of LED pixels, or obtains the second correction coefficient based on the first correction coefficient and a W (White) luminance value corresponding to a low grayscale measured for each pixel group.

[0010] According to one embodiment, the one or more processors can obtain the second correction coefficient based on the operation of the first correction coefficient per pixel and the third correction coefficient per pixel by executing the at least one instruction.

[0011] According to one embodiment, the first correction coefficient per pixel includes a high-gray correction coefficient per pixel, the third correction coefficient per pixel includes a low-gray correction coefficient per pixel measured for each pixel group including a plurality of LED pixels, and an operation of the first correction coefficient and the third correction coefficient may include low-gray correction coefficient values ​​corresponding to a plurality of pixels included in each pixel group.

[0012] According to one embodiment, the one or more processors may, by executing the at least one command, obtain luminance values ​​for each R, G, B color corresponding to low grayscale for each pixel based on high grayscale R, G, B, W luminance values ​​and W luminance values ​​corresponding to low grayscale measured for each pixel group, and obtain the second correction coefficient based on the luminance values ​​for each R, G, B color corresponding to the low grayscale for each pixel obtained.

[0013] According to one embodiment, the one or more processors can obtain the third correction coefficient by simultaneously turning on a plurality of LED pixels included in a pixel group for each R, G, and B color and measuring a low-gray value by executing the at least one command.

[0014] According to one embodiment, the one or more processors can obtain the third correction coefficient by simultaneously turning on nxn pixels at positions spaced apart by m pixels for each of R, G, and B colors and measuring low-level values ​​by executing the at least one command.

[0015] According to one embodiment, the one or more processors can simultaneously turn on R, G, and B pixels corresponding to a plurality of LED pixels included in a pixel group by executing the at least one command to obtain a W luminance value corresponding to the low grayscale.

[0016] A method for calibrating a plurality of LED pixels included in a display device according to one or more embodiments includes the steps of: obtaining a first correction coefficient corresponding to a high grayscale higher than a threshold grayscale, which corresponds to each of the plurality of LED pixels; and obtaining a second correction coefficient corresponding to a low grayscale lower than the threshold grayscale, which corresponds to each of the plurality of LED pixels. The step of obtaining the second correction coefficient may obtain the second correction coefficient based on the first correction coefficient and a third correction coefficient corresponding to a low grayscale measured for each of R, G, and B colors for each pixel group including the plurality of LED pixels, or may obtain the second correction coefficient based on the first correction coefficient and a W (White) luminance value corresponding to the low grayscale measured for each pixel group.

[0017] A non-transitory computer-readable medium storing computer instructions that, when executed by a processor of an electronic device according to one or more embodiments, cause the electronic device to perform an operation, the operation including: obtaining a first correction coefficient corresponding to a high grayscale higher than a threshold grayscale, each corresponding to a plurality of LED pixels included in the display device; and obtaining a second correction coefficient corresponding to a low grayscale lower than the threshold grayscale, each corresponding to the plurality of LED pixels. The step of obtaining the second correction coefficient obtains the second correction coefficient based on the first correction coefficient and a third correction coefficient corresponding to a low grayscale measured for each of R, G, and B colors for each pixel group including the plurality of LED pixels, or obtains the second correction coefficient based on the first correction coefficient and a W (White) luminance value corresponding to the low grayscale measured for each pixel group.

[0018] Aspects, features and advantages of specific embodiments of the present disclosure will become more apparent from the following description taken in conjunction with the accompanying drawings.

[0019] FIG. 1 is a drawing for explaining an LED calibration method according to one or more embodiments.

[0020] FIG. 2 is a block diagram illustrating a configuration of a display device according to one or more embodiments.

[0021] FIG. 3 is a block diagram showing a specific configuration of a display device according to one or more embodiments.

[0022] FIG. 4A is a block diagram illustrating a configuration of an electronic device according to one or more embodiments.

[0023] FIG. 4b is a block diagram showing a specific configuration of an electronic device according to one or more embodiments.

[0024] FIG. 5 is a flowchart illustrating a method for calibrating a display device using an electronic device according to one embodiment.

[0025] FIGS. 6A to 6C are drawings for explaining a low-level calibration method according to one or more embodiments.

[0026] FIG. 7 is a flowchart illustrating a method for calibrating a display device using an electronic device according to one or more embodiments.

[0027] FIGS. 8 and 9 are drawings for explaining a low-level calibration method according to one or more embodiments.

[0028] The terms used in this specification will be briefly explained, and the present disclosure will be described in detail.

[0029] The terms used in the embodiments of this disclosure have been selected from widely used, current terms, taking into account the functions of this disclosure. However, these terms may vary depending on the intentions of those skilled in the art, precedents, the emergence of new technologies, etc. Furthermore, in certain cases, terms may be arbitrarily selected by the applicant, and in such cases, their meanings will be described in detail in the description of the relevant disclosure. Therefore, the terms used in this disclosure should not be defined simply as names of terms, but rather based on the meanings of the terms and the overall content of this disclosure.

[0030] In this specification, expressions such as “has,” “can have,” “includes,” or “may include” indicate the presence of a feature (e.g., a number, function, operation, or component such as a part), and do not exclude the presence of additional features.

[0031] In this disclosure, expressions such as “A or B,” “at least one of A and / or B,” or “one or more of A or / and B” can include all possible combinations of the listed items. For example, “A or B,” “at least one of A and B,” or “at least one of A or B” can all refer to cases where (1) only A is included, (2) only B is included, or (3) both A and B are included.

[0032] As used herein, the expressions “first,” “second,” “first,” or “second,” etc., may describe various components, regardless of order and / or importance, and are only used to distinguish one component from another, but do not limit the components.

[0033] When it is said that a component (e.g., a first component) is “operatively or communicatively coupled with / to” or “connected to” another component (e.g., a second component), it should be understood that the component may be directly coupled to the other component, or may be connected through another component (e.g., a third component).

[0034] The expression "configured to" as used in the present disclosure may be used interchangeably with, for example, "suitable for," "having the capacity to," "designed to," "adapted to," "made to," or "capable of." The term "configured to" may not necessarily mean only "specifically designed to" in terms of hardware.

[0035] In some contexts, the phrase "a device configured to" may mean that the device, in conjunction with other devices or components, is "capable of" performing A, B, and C. For example, the phrase "a processor configured (or set) to perform A, B, and C" may refer to a dedicated processor (e.g., an embedded processor) for performing those operations, or a general-purpose processor (e.g., a CPU or application processor) that can perform those operations by executing one or more software programs stored in a memory device.

[0036] Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as "comprise" or "consist of" are intended to indicate the presence of a feature, number, step, operation, component, part, or combination thereof described in the specification, but should be understood not to preclude the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0037] In the embodiments, a "module" or "part" performs at least one function or operation and may be implemented as hardware or software, or as a combination of hardware and software. Furthermore, a plurality of "modules" or "parts" may be integrated into at least one module and implemented as at least one processor (not shown), excluding any "module" or "part" that needs to be implemented as specific hardware.

[0038] Meanwhile, the various elements and areas in the drawings are schematically drawn. Therefore, the technical concept of the present invention is not limited by the relative sizes or spacing depicted in the attached drawings.

[0039] An embodiment of the present disclosure will be described in more detail with reference to the attached drawings below.

[0040] FIG. 1 is a drawing for explaining an LED calibration method according to one or more embodiments.

[0041] As illustrated in FIG. 1, a display device (10) according to one or more embodiments may include a plurality of pixels arranged in a matrix form. For example, the display device (10) may be implemented in a form in which a plurality of display modules are physically connected. Here, each of the plurality of display modules may include a plurality of pixels, for example, self-luminous pixels, arranged in a matrix form. In particular, the display module may be implemented as an LED module in which each of the plurality of pixels is implemented as an LED pixel or an LED cabinet in which a plurality of LED modules are connected, but is not limited thereto. For example, the display module may be implemented as an OLED (organic LED), a QLED (quantum dot LED), an AMOLED (active-matrix OLED), etc. However, for the convenience of explanation, the following description will assume a case in which each of the display modules is implemented as an LED module or an LED cabinet.

[0042] According to one example, a calibration coefficient can be calculated for pixel uniformity (or display uniformity) constituting each of a plurality of display modules. For example, the calibration coefficient can be calculated by a separate electronic device (20) (e.g., a colorimeter, a colorimeter, a measuring instrument, a PC, etc.). In this case, the electronic device (20) may be equipped with a camera (measuring equipment) for photographing the display device (10), or may also receive a photographed image (data) from an external photographing device.

[0043] For example, when calibrating a display device (10) composed of LED pixels, there is a possibility that the uniformity characteristics at low and ultra-low grayscales may be perceived as inferior to those at high grayscales. To address this, it is necessary to measure ultra-low grayscales that are lower than before and derive a correction coefficient.

[0044] FIG. 2 is a block diagram illustrating a configuration of a display device according to one or more embodiments.

[0045] According to FIG. 2, the display device (100) includes a display (110), a memory (120), and one or more processors (130).

[0046] The display (110) includes a plurality of display modules. In particular, the display (110) may be configured in an assembled form by connecting a plurality of display modules. Here, each of the plurality of display modules may include a plurality of pixels, for example, self-luminous pixels, arranged in a matrix form. According to one embodiment, the display (110) may be implemented with a plurality of LED modules (an LED module including at least one LED element) and / or a plurality of LED cabinets. In addition, the LED module may include a plurality of LED pixels. According to one example, the LED pixel may be implemented with an RGB LED, and the RGB LED may include a RED LED, a GREEN LED, and a BLUE LED together.

[0047] The memory (120) can store data required for various embodiments. The memory (120) may be implemented in the form of memory embedded in the display device (100') or in the form of memory that can be detachably attached to the display device (100') depending on the purpose of data storage. For example, data for driving the display device (100') may be stored in a memory embedded in the display device (100'), and data for the expansion function of the display device (100') may be stored in a memory that can be detachably attached to the display device (100'). Meanwhile, in the case of memory embedded in the display device (100'), 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 (100'), 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 in the same form.

[0048] The memory (120) can store correction coefficients corresponding to light-emitting pixels constituting a plurality of display modules. In one example, the memory (120) can store correction coefficients corresponding to each light-emitting pixel constituting each of the plurality of display modules.

[0049] For example, the memory (120) can store a high-gray correction coefficient (hereinafter, a first correction coefficient) and a low-gray correction coefficient (hereinafter, a second correction coefficient) for each LED pixel.

[0050] In one example, the second correction coefficient may be obtained based on the first correction coefficient and the third correction coefficient corresponding to the low-gray level per pixel measured for each pixel group including a plurality of LED pixels. For example, the second correction coefficient may be a value obtained based on the first correction coefficient per pixel, the third correction coefficient per pixel, and the operation of the first correction coefficient and the third correction coefficient per pixel. For example, the operation result of the first correction coefficient and the third correction coefficient may be a low-gray level correction coefficient.

[0051] In another example, the second correction coefficient may be a value obtained based on the first correction coefficient and the W (White) luminance value corresponding to the low grayscale measured for each pixel group. For example, the second correction coefficient may be a value obtained based on the luminance values ​​for each R, G, and B color corresponding to the low grayscale for each pixel. In this case, the luminance values ​​for each R, G, and B color corresponding to the low grayscale for each pixel may be obtained through the operation of the high grayscale R, G, B, and W luminance values ​​and the W luminance value corresponding to the low grayscale measured for each pixel group.

[0052] One or more processors (130) control the overall operation of the display device (100). Specifically, one or more processors (130) are connected to each component of the display device (100) and can control the overall operation of the display device (100). For example, one or more processors (130) are electrically connected to the display (110) and the memory (120) and can control the overall operation of the display device (100). One or more processors (130) may be configured as one or more processors.

[0053] One or more processors (130) may perform operations of the display device (100) according to various embodiments by executing at least one instruction stored in the memory (120).

[0054] The one or more processors (130) 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 one or more processors (130) may control one or any combination of other components of the electronic device, and may perform operations related to communication or data processing. The one or more processors (130) may execute one or more programs or instructions stored in a memory. For example, the one or more processors may perform a method according to one or more embodiments of the present disclosure by executing one or more instructions stored in a memory.

[0055] When a method according to one or more embodiments of the present disclosure 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 or more embodiments, 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).

[0056] One or more processors (130) 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 one or more processors (130) are implemented as a multicore processor, each of the multiple cores included in the multicore processor may include an internal processor memory, such as a cache memory or an 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 one or more embodiments 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 one or more embodiments of the present disclosure.

[0057] When a method according to one or more embodiments of the present disclosure 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 one or more embodiments, 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.

[0058] In the embodiments of the present disclosure, a processor 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 the embodiments of the present disclosure are not limited thereto. Hereinafter, for the convenience of explanation, one or more processors (130) will be referred to as a processor (130).

[0059] The processor (130) can calculate a correction coefficient corresponding to the entire grayscale based on the low-grayscale correction coefficient and the high-grayscale correction coefficient for each LED pixel. For example, as illustrated in FIG. 3, the processor (130) can calculate a correction coefficient corresponding to the entire grayscale by interpolating the high-grayscale correction coefficient and the low-grayscale correction coefficient for each pixel. In this case, the luminance and color characteristics of the entire grayscale are corrected, and as a result, the uniformity characteristic for the entire grayscale of the LED display is improved. In particular, by using a correction coefficient for a lower low-grayscale than before, the pixel calibration correction performance for low-grayscale and ultra-low-grayscale in the LED display is improved, so that the luminance and color characteristics are improved across the entire grayscale as seen with the naked eye, and as a result, the uniformity characteristic of the LED display can be improved across the entire grayscale.

[0060] FIG. 3 is a block diagram showing a specific configuration of a display device according to one or more embodiments.

[0061] According to FIG. 3, the display device (100') includes a display (110), a memory (120), one or more processors (130), a communication interface (140), a user interface (150), and a sensor (160). Among the configurations illustrated in FIG. 3, a detailed description of configurations that overlap with those illustrated in FIG. 2 will be omitted.

[0062] It goes without saying that the communication interface (140) can be implemented as various interfaces depending on the implementation example of the display device (100'). For example, the communication interface (140) can communicate with an external device, an external storage medium (e.g., a USB memory), an external server (e.g., a web hard drive), etc. through a communication method such as Bluetooth, AP-based Wi-Fi (Wireless LAN network), Zigbee, wired / wireless LAN (Local Area Network), WAN (Wide Area Network), Ethernet, IEEE 1394, HDMI (High-Definition Multimedia Interface), USB (Universal Serial Bus), MHL (Mobile High-Definition Link), AES / EBU (Audio Engineering Society / European Broadcasting Union), optical, coaxial, etc. According to one example, the communication interface (140) can communicate with another electronic device, an external server, and / or a remote control device.

[0063] The user interface (150) may be implemented as a device such as a button, a touch pad, a mouse, and a keyboard, or as a touch screen that can also perform the display function and operation input function described above.

[0064] The sensor (160) may include various types of sensors such as a touch sensor, a proximity sensor, an acceleration sensor (or a gravity sensor), a geomagnetic sensor, a gyro sensor, a pressure sensor, a position sensor, a distance sensor, a light sensor, etc.

[0065] FIG. 4A is a block diagram illustrating a configuration of an electronic device according to one or more embodiments.

[0066] According to FIG. 4A, the electronic device (200) includes a camera (210), a memory (220), and one or more processors (230). The configuration and function of the memory (220) and one or more processors (230) are the same / similar to the configuration and function of the memory (120) and one or more processors (130) illustrated in FIGS. 2 and 3, and thus a detailed description thereof will be omitted.

[0067] The camera (210) can be turned on and take pictures according to a preset event. The camera (210) can convert the captured image into an electrical signal and generate image data based on the converted signal. For example, the subject can be converted into an electrical image signal through a semiconductor optical element (CCD; Charge Coupled Device), and the converted image signal can be amplified and converted into a digital signal and then signal processed. For example, the camera (160) can include at least one of a general (or basic) camera and an ultra-wide-angle camera.

[0068] For example, the electronic device (200) may be implemented to perform the functions of a measuring instrument, a colorimeter, a colorimeter, etc.

[0069] The camera (210) can capture the screen of the display device (100) under the control of the processor (230) to obtain capture data (or measurement data). However, according to another example, the camera can be installed in an external device and receive capture data from the external device.

[0070] The memory (220) can store shooting data acquired by the camera (210). In addition, the memory (220) can store various data acquired through the processor (230) based on the shooting data. In addition, the memory (220) can store various information such as formulas, algorithms, and learned neural network models for acquiring various data from the shooting data.

[0071] The processor (230) can obtain a first correction coefficient corresponding to each of a plurality of LED pixels included in the display device based on the photographing data (or measurement data) obtained through the camera (210) and corresponding to a high grayscale higher than a threshold grayscale.

[0072] The processor (230) may obtain a second correction coefficient corresponding to a low grayscale corresponding to each of a plurality of LED pixels. For example, the low grayscale may be a low grayscale lower than a conventional general low grayscale. For example, the low grayscale may be classified into a high grayscale higher than a first threshold grayscale, a low grayscale lower than the first threshold grayscale and higher than the second threshold grayscale, and an extremely low grayscale lower than the second threshold grayscale, and the second correction coefficient may be a correction coefficient corresponding to an extremely low grayscale lower than the second threshold grayscale.

[0073] For example, the processor (230) can obtain the second correction coefficient based on the first correction coefficient and the third correction coefficient corresponding to the low grayscale measured for each pixel group including the plurality of LED pixels. For example, the processor (230) can obtain the third correction coefficient by simultaneously turning on the plurality of LED pixels included in the pixel group for R, G, and B and measuring the low grayscale value. For example, the processor (230) can obtain the second correction coefficient based on the first correction coefficient for each pixel, the third correction coefficient for each pixel, and the operation of the first correction coefficient and the third correction coefficient for each pixel. For example, the processor (230) can obtain the third correction coefficient by simultaneously turning on nxn pixels at positions spaced apart by m pixels for each of R, G, and B colors and measuring the low grayscale value.

[0074] For example, the first correction coefficient per pixel may include a high-gray correction coefficient per pixel. For example, the third correction coefficient per pixel may include a low-gray correction coefficient per pixel measured for each pixel group including a plurality of LED pixels. For example, the operation of the first correction coefficient and the third correction coefficient per pixel may include a low-gray correction coefficient corresponding to a plurality of pixels included in each pixel group.

[0075] As another example, the processor (230) can obtain a second correction coefficient based on the first correction coefficient and the W (White) luminance value corresponding to the low grayscale measured for each pixel group. For example, the second correction coefficient may be a correction coefficient corresponding to a low grayscale that is lower than a conventional general low grayscale. For example, the processor (230) can obtain the second correction coefficient based on the W luminance value corresponding to the high grayscale for each pixel and the W luminance value corresponding to the low grayscale measured for each pixel group. For example, the processor (230) can obtain the luminance values ​​for each R, G, B color corresponding to the low grayscale for each pixel based on the high grayscale R, G, B, W luminance values ​​and the W luminance value corresponding to the low grayscale measured for each pixel group, and obtain the second correction coefficient based on the luminance values ​​for each R, G, B color corresponding to the low grayscale for each pixel obtained.

[0076] FIG. 4b is a block diagram showing a specific configuration of an electronic device according to one or more embodiments.

[0077] According to FIG. 4b, the electronic device (200') includes a camera (210), a memory (220), one or more processors (230), a communication interface (240), and a user interface (250). The configuration and function of the camera (210), the memory (220), one or more processors (230), the communication interface (240), and the user interface (250) are the same / similar to the configuration and function of the camera (170), the memory (120), one or more processors (130), the communication interface (140), and the user interface (150) illustrated in FIGS. 2 and 3, and FIG. 4a, and therefore, a detailed description thereof will be omitted.

[0078] For example, the processor (230) can turn on the camera (210) to capture the screen of the display device (100) based on a user command received through the user interface (240).

[0079] For example, the processor (230) may transmit various data obtained through calculations from the shooting data, for example, a first correction coefficient, a second correction coefficient, etc., to an external device, for example, a display device (100), through a communication interface (240).

[0080] FIG. 5 is a flowchart illustrating a method for calibrating a display device using an electronic device according to one embodiment.

[0081] According to FIG. 5, the electronic device (200) can obtain a first correction coefficient corresponding to a high gray level for each of a plurality of LED pixels (S510).

[0082] Next, the electronic device (200) can obtain a third correction coefficient corresponding to the low gray level measured for each pixel group including a plurality of LED pixels (S520).

[0083] Next, the electronic device (200) can obtain a second correction coefficient corresponding to the low gray level for each pixel through calculation of the first correction coefficient and the third correction coefficient (S530).

[0084] In one example, the electronic device (200) may obtain a second correction coefficient based on the calculation of the first correction coefficient per pixel and the third correction coefficient per pixel. For example, the electronic device (200) may obtain a second correction coefficient based on the calculation of the first correction coefficient per pixel and the third correction coefficient per pixel. Here, the calculation may include an operation such as addition, multiplication, or division.

[0085] For example, the first correction coefficient per pixel may include a high-gray correction coefficient per pixel. For example, the third correction coefficient per pixel may include a low-gray correction coefficient per pixel measured for each pixel group including a plurality of LED pixels. For example, the operation of the first correction coefficient and the third correction coefficient per pixel may include the operation values ​​of the low-gray correction coefficients corresponding to the plurality of pixels included in each pixel group.

[0086] For example, the electronic device (200) can obtain a third correction coefficient by simultaneously turning on a plurality of LED pixels included in a pixel group for each R, G, and B color and measuring a low-gray value.

[0087] For example, the electronic device (200) can obtain a third correction coefficient for each pixel by simultaneously turning on nxn pixels at positions spaced apart by m pixels for each R, G, and B color and measuring low-level values.

[0088] For example, an electronic device (200) (e.g., a measuring instrument) can perform calibration using a pattern that groups multiple pixels only in the case of low grayscale in order to measure a lower low grayscale than in the prior art. That is, when measuring a lower low grayscale than before, the overall luminance decreases, but when a pattern that groups multiple pixels is used, the grayscale of each pixel corresponds to a lower low grayscale than before, but the luminance corresponding to the grouped pixels increases. Accordingly, even if the grayscale is lower than the existing low grayscale, stable measurement is possible. The number of grouped pixels and the number of spaced-apart pixels can be determined in various ways based on the resolution of the display device (100) and the resolution of the electronic device (200).

[0089] FIGS. 6A to 6C are drawings for explaining a low-level calibration method according to one or more embodiments.

[0090] For example, high-grayscale measurement may use a pattern in which each R, G, and B pixel is spaced apart by one, as in the prior art, and low-grayscale measurement may use a pattern in which multiple pixels are grouped by a preset number of pixels for each R, G, and B pixel.

[0091] According to FIGS. 6A to 6C, the display device (100) provides a pattern that groups four pixels and separates them in units of two pixels, and the electronic device (200) can obtain shooting data, i.e., measurement data, based on the pattern.

[0092] For example, the display device (100) can display a low-gray pattern image that displays R pixels in low-gray in the order of 1 → 2 → 3 → 4, as illustrated in FIG. 6a.

[0093] For example, the display device (100) can display a low-gray pattern image that displays G pixels in low-gray in the order of 1 → 2 → 3 → 4, as illustrated in FIG. 6b.

[0094] For example, the display device (100) can display a low-gray pattern image that displays B pixels as low-gray in the order of 1 → 2 → 3 → 4, as illustrated in FIG. 6c.

[0095] The low-grayscale pattern images shown in FIGS. 6A to 6C are merely examples, and the number of pixels grouped and the number of pixels spaced apart in the pattern image can be determined in various ways based on the resolution of the display device (100) and the resolution of the electronic device (200).

[0096] As described above, when a plurality of pixels are grouped and the luminance value at low grayscale is measured, the grouped pixels have the same low grayscale correction coefficient. In this case, there is a problem that pixel units that are lumped together are perceived by the naked eye at low and mid-grayscales. For example, since the low grayscale correction coefficient and the high grayscale correction coefficient are interpolated and applied to all grayscales, the lumped grouped pixel units are affected not only at low grayscales but also at mid-grayscales. In order to prevent this phenomenon from occurring, a process is required in which the lumped pixels have their own low grayscale correction coefficients corresponding to each individual pixel. Accordingly, the electronic device (200) can obtain the final low grayscale correction coefficient based on the high grayscale correction coefficient (i.e., the first correction coefficient) measured for each pixel and the third correction coefficient corresponding to the low grayscale measured for each pixel group.

[0097] FIG. 7 is a flowchart illustrating a method for calibrating a display device using an electronic device according to one or more embodiments.

[0098] According to FIG. 7, the electronic device (200) can obtain a first correction coefficient corresponding to a high gray level for each of a plurality of LED pixels based on the shooting data obtained through the camera (210) (S710).

[0099] Next, the electronic device (200) can obtain a W (White) luminance value corresponding to the low gray level measured for each pixel group (S720).

[0100] Next, the electronic device (200) can obtain a high-gray W (White) luminance value based on the high-gray R, G, B luminance values ​​for each pixel (S730).

[0101] Next, the electronic device (200) can obtain low-grayscale R, G, B luminance values ​​for each pixel based on the high-grayscale R, G, B, W luminance values ​​and the low-grayscale W luminance (S740).

[0102] For example, the electronic device (200) may obtain luminance values ​​for each R, G, B color corresponding to a low grayscale for each pixel based on high-grayscale R, G, B, W luminance values ​​and W luminance values ​​corresponding to low grayscales measured for each pixel group. For example, the electronic device (200) may obtain luminance values ​​for each R, G, B color corresponding to a low grayscale for each pixel through calculation of high-grayscale R, G, B, W luminance values ​​and W luminance values ​​corresponding to low grayscales measured for each pixel group. Here, the calculation may include calculations such as addition, multiplication, and division.

[0103] Next, the electronic device (200) can obtain a second correction coefficient corresponding to the low gray level for each pixel (S750).

[0104] For example, the electronic device (200) can simultaneously turn on R, G, and B pixels corresponding to a plurality of LED pixels included in a pixel group to obtain a W luminance value corresponding to a low gray level.

[0105] FIGS. 8 and 9 are drawings for explaining a low-level calibration method according to one or more embodiments.

[0106] For example, the electronic device (200) can measure the W value instead of R, G, and B to calculate the low-gray correction coefficient. For example, the W low-gray can be a gray value. For example, the W value can be measured for a low-gray for which R, G, and B grayscale measurement is not possible, but is not necessarily limited thereto. For example, due to the characteristics of the display, the grayscale must be measured by lowering it significantly, but in the case where R, G, and B grayscale measurement is not possible, a measurable value can be measured because the luminance is high compared to R, G, and B. For example, if even one color among R, G, and B is not measured, the method according to FIG. 5 cannot be used. Since W is when all of R, G, and B are turned on, the grayscale can be lowered further because the luminance is high compared to R, G, and B.

[0107] According to FIG. 8, the display device (100) provides a pattern that groups four pixels and separates them in units of two pixels, and the electronic device (200) can obtain shooting data, i.e., measurement data, based on the pattern.

[0108] For example, the display device (100) can display a low-gray pattern image in which W is displayed as a low-gray pattern by simultaneously turning on R, G, and B pixels as shown in FIG. 8 in the order of 1 → 2 → 3 → 4.

[0109] According to FIG. 9, the display device (100) provides a pattern that groups nine pixels and separates them in units of three pixels, and the electronic device (200) can obtain shooting data, i.e., measurement data, based on the pattern.

[0110] For example, the display device (100) can display a low-gray pattern image in which W is displayed as a low-gray pattern by simultaneously turning on R, G, and B pixels as shown in FIG. 9 in the order of 1 → 2 → 3 → 4.

[0111] Alternatively, although not shown in the drawing, various patterns may be used, such as a pattern of grouping 9 pixels and spacing them out in units of 2 pixels, or a pattern of grouping 25 pixels and spacing them out in units of 2 pixels.

[0112] The low-grayscale pattern images shown in FIGS. 8 and 9 are merely examples, and the number of pixels grouped and the number of pixels spaced apart in the pattern image can be determined in various ways based on the resolution of the display device (100) and the resolution of the electronic device (200).

[0113] As shown in Figures 8 and 9, grouped pixels can be measured as a single luminance value. However, since this is a W luminance value, a process of converting the measured low-gray W luminance into low-gray R, G, B luminance is required to ultimately calculate correction coefficients for each of R, G, and B. For this, high-gray R, G, B, and W luminance is required.

[0114] However, since high-gray measurement can be measured using a pattern in which each R, G, B pixel is spaced apart by one, as in the prior art, high-gray W luminance may not exist. In this case, the electronic device (200) can calculate high-gray W luminance using high-gray R, G, B luminance. The electronic device (200) can calculate R, G, B luminance corresponding to low-gray for each pixel through calculation using the W, R, G, B luminance values ​​of high-gray for each pixel and the low-gray W luminance. In this case, the low-gray correction coefficient can be calculated using the R, G, B luminance values ​​of low-gray using the same method used when obtaining the high-gray correction coefficient using the R, G, B luminance values ​​of high-gray.

[0115] According to the various embodiments described above, a correction coefficient can be calculated by measuring a lower low-gray level than before, and the brightness and color characteristics of the entire gray level can be corrected to be excellent in the LED display, and as a result, the uniformity characteristics of the LED display are excellent.

[0116] Meanwhile, the methods according to the various embodiments of the present disclosure described above can be implemented only with a software upgrade or a hardware upgrade for an existing display device or an existing electronic device.

[0117] Additionally, the various embodiments of the present disclosure described above can also be performed through an embedded server provided in an electronic device, or an external server of the electronic device.

[0118] Meanwhile, according to a temporary example of the present disclosure, the various embodiments described above can be implemented as software including instructions stored in a machine-readable storage medium that can be read by a machine (e.g., a computer). The device is a device that can call instructions stored from the storage medium and operate according to the called instructions, and may include an electronic device (e.g., electronic device (A)) according to the disclosed embodiments. When an instruction is executed by a processor, the processor can perform a function corresponding to the instruction directly or by using other components under the control of the processor. The instruction may include code generated or executed by a compiler or interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' means that the storage medium does not contain a signal and is tangible, but does not distinguish between data being stored semi-permanently or temporarily in the storage medium.

[0119] Furthermore, according to one embodiment of the present disclosure, the method according to the various embodiments described above 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 online through an application store (e.g., Play Store™). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

[0120] In addition, each of the components (e.g., modules or programs) according to the various embodiments described above may be composed of a single or multiple entities, and some of the corresponding sub-components described above may be omitted, or other sub-components may be further included in various embodiments. Alternatively or additionally, some components (e.g., modules or programs) may be integrated into a single entity, which may perform the same or similar functions as those performed by each of the corresponding components prior to integration. Operations performed by modules, programs or other components according to various embodiments may be executed sequentially, in parallel, iteratively or heuristically, or at least some operations may be executed in a different order, omitted, or other operations may be added.

[0121] Although the preferred embodiments of the present disclosure have been illustrated and described above, the present disclosure is not limited to the specific embodiments described above, and various modifications may be made by a person having ordinary skill in the art to which the present disclosure pertains without departing from the gist of the present disclosure as claimed in the claims, and such modifications should not be understood individually from the technical idea or prospect of the present disclosure.

Claims

1. A display comprising multiple LED pixels; A memory in which a first correction coefficient corresponding to a high grayscale higher than a threshold grayscale and a second correction coefficient corresponding to a low grayscale lower than the threshold grayscale are stored, each corresponding to a plurality of LED pixels; and It includes one or more processors for driving the display by applying a correction coefficient for each grayscale obtained based on the first correction coefficient and the second correction coefficient to each of the plurality of LED pixels; The above second correction coefficient is, Obtained based on the first correction coefficient and the third correction coefficient corresponding to the low gray level measured for each of the R, G, and B colors for each pixel group including a plurality of LED pixels, A display device, obtained based on the first correction coefficient and the W (White) luminance value corresponding to the low gray level measured for each pixel group.

2. In paragraph 1, The above second correction coefficient is, A display device, wherein the value is obtained based on the calculation of the first correction coefficient per pixel and the third correction coefficient per pixel.

3. In paragraph 2, The first correction coefficient for each pixel is, Contains pixel-by-pixel high-level correction coefficients, The third correction coefficient for each pixel is, Contains low-gray correction coefficients for each pixel group including multiple LED pixels, measured for each R, G, and B color, The operation values ​​of the first correction coefficient and the third correction coefficient are, A display device, comprising a low-level correction coefficient value corresponding to each of a plurality of pixels included in each pixel group.

4. In paragraph 1, The above second correction coefficient is, A display device, wherein the luminance values ​​for each R, G, B color corresponding to the low grayscale for each pixel are obtained based on the high grayscale R, G, B, W luminance values ​​and the W luminance values ​​corresponding to the low grayscale measured for each pixel group, and the luminance values ​​for each R, G, B color corresponding to the low grayscale for each pixel are obtained based on the obtained luminance values ​​for each R, G, B color corresponding to the low grayscale for each pixel.

5. In paragraph 1, The third correction factor is, A display device that is obtained by measuring low-gray values ​​by simultaneously turning on multiple LED pixels included in pixel groups for each R, G, and B color.

6. In electronic devices, camera; a memory storing at least one instruction; and comprising one or more processors connected to the camera and the memory and controlling the electronic device; The one or more processors, by executing the at least one instruction, Based on the shooting data acquired through the above camera, a first correction coefficient corresponding to each of a plurality of LED pixels included in the display device and corresponding to a high grayscale higher than a threshold grayscale is acquired, Obtain a second correction coefficient corresponding to each of the plurality of LED pixels and corresponding to a low grayscale below the threshold grayscale, The one or more processors, by executing the at least one instruction, The second correction coefficient is obtained based on the first correction coefficient and the third correction coefficient corresponding to the low gray level measured for each pixel group including a plurality of LED pixels, or An electronic device that obtains the second correction coefficient based on the first correction coefficient and the W (White) luminance value corresponding to the low gray level measured for each pixel group.

7. In paragraph 6, The one or more processors, by executing the at least one instruction, An electronic device that obtains the second correction coefficient based on the computation of the first correction coefficient per pixel and the third correction coefficient per pixel.

8. In paragraph 7, The first correction coefficient for each pixel is, Contains pixel-by-pixel high-level correction coefficients, The third correction coefficient for each pixel is, Contains per-pixel low-gray correction factors measured for each pixel group containing multiple LED pixels, The calculation of the first correction coefficient and the third correction coefficient is as follows: An electronic device comprising low-level correction coefficient values ​​corresponding to a plurality of pixels included in each pixel group.

9. In paragraph 6, The one or more processors, by executing the at least one instruction, An electronic device that obtains luminance values ​​for each R, G, B color corresponding to the low grayscale for each pixel based on the high-grayscale R, G, B, W luminance values ​​and the W luminance values ​​corresponding to the low grayscale measured for each pixel group, and obtains the second correction coefficient based on the luminance values ​​for each R, G, B color corresponding to the low grayscale for each pixel obtained.

10. In paragraph 6, The one or more processors, by executing the at least one instruction, An electronic device that obtains the third correction coefficient by simultaneously turning on multiple LED pixels included in a pixel group for each R, G, and B color and measuring low-gray values.

11. In paragraph 10, The one or more processors, by executing the at least one instruction, An electronic device that obtains the third correction coefficient by simultaneously turning on nxn pixels at positions spaced apart by m pixels for each of R, G, and B colors and measuring low-level values.

12. In paragraph 6, The one or more processors, by executing the at least one instruction, An electronic device that simultaneously turns on R, G, and B pixels corresponding to a plurality of LED pixels included in a pixel group to obtain a W luminance value corresponding to the low grayscale.

13. A method for calibrating multiple LED pixels included in a display device, A step of obtaining a first correction coefficient corresponding to each of a plurality of LED pixels and corresponding to a high grayscale higher than a threshold grayscale; and A step of obtaining a second correction coefficient corresponding to each of the plurality of LED pixels and corresponding to a low grayscale below the threshold grayscale; The step of obtaining the second correction coefficient is: The second correction coefficient is obtained based on the first correction coefficient and the third correction coefficient corresponding to the low gray level measured for each of the R, G, and B colors for each pixel group including a plurality of LED pixels, or A calibration method for obtaining the second correction coefficient based on the first correction coefficient and the W (White) luminance value corresponding to the low gray level measured for each pixel group.

14. In paragraph 13, The step of obtaining the second correction coefficient is: A calibration method for obtaining the second correction coefficient based on the calculation of the first correction coefficient per pixel and the third correction coefficient per pixel.

15. A non-transitory computer-readable medium storing computer instructions that, when executed by a processor of an electronic device, cause the electronic device to perform an operation, The above actions are, A step of obtaining a first correction coefficient corresponding to each of a plurality of LED pixels included in a display device and corresponding to a high grayscale higher than a threshold grayscale; and A step of obtaining a second correction coefficient corresponding to each of the plurality of LED pixels and corresponding to a low grayscale below the threshold grayscale; The step of obtaining the second correction coefficient is: The second correction coefficient is obtained based on the first correction coefficient and the third correction coefficient corresponding to the low gray level measured for each of the R, G, and B colors for each pixel group including a plurality of LED pixels, or A non-transitory computer-readable medium for obtaining the second correction coefficient based on the first correction coefficient and the W (White) luminance value corresponding to the low grayscale measured for each pixel group.

Images