KR20160015789A - Display apparatus, display correction appratus, display correction system and display correction method - Google Patents

Abstract

The present invention relates to a display apparatus, a display correction apparatus, a display correction system, and a display correction method. The display correction system comprises: a display device for displaying a pattern image; a camera for photographing the displayed pattern image; an image analysis unit for calculating an RGB value of the photographed pattern image; and a characteristic correction unit for generating correction data which allows an average value, in which each pixel is calculated, to be displayed based on the average value of the calculated RGB value and the RGB value of each pixel.

Description

DISPLAY APPARATUS, DISPLAY CORRECTION APPARATUS, DISPLAY CORRECTION SYSTEM AND DISPLAY CORRECTION METHOD Field of the Invention < RTI ID = 0.0 > [0001]

A display characteristic correcting device, a display characteristic correcting system, and a display characteristic correcting method for correcting a characteristic of a displayed image.

As a liquid crystal display device (LCD: liquid crystal display device) becomes large and curved, the size and occurrence frequency of Mura defects, that is, stain defects and image quality distortions are increasing. The term mura refers to a stain in Japanese, which means a defect in a point, a line, or a surface in which a specific area is displayed differently in brightness or color as compared with a surrounding area when the entire screen is displayed with a constant gray scale.

Mura can occur in the process of implementing an LCD panel in a display device or in the process of curving a flat LCD panel into a curved LCD panel. Specifically, it can be caused by the uniformity of the liquid crystal thickness, the stress distribution, the temperature distribution, the difference in the orientation characteristic between the parts of the polarizing film, and the variation in the thickness or the width of the transparent electrode circuit, A different output will be displayed. In addition, the light may be generated at the stage of manufacturing the panel, at the stage of applying the manufactured panel to the display device, or may be caused by the heat generated by the light source of the backlight in the final product state. Therefore, the display device is required to perform work for correcting the mura after gamma correction before shipment or during manufacture.

Further, in correcting the mura correction, correcting only the mura region generated by detecting the mura by capturing the pattern image requires a large number of calculations, and there is a problem that the mura correction time is prolonged. In addition, the use of a high-resolution camera to remove a pattern underneath a pattern image has a problem of an increase in the price of the display correction apparatus. Therefore, recently, researches for correcting such mura have been actively carried out.

A display characteristic correcting device, a display characteristic correcting system, and a display characteristic correcting method for uniformly correcting displayed RGB values without detecting the Mura.

One embodiment of the display correcting apparatus includes a camera for photographing a pattern image displayed on a display device, an image analyzing unit for calculating an RGB value of the photographed pattern image, and an image analyzing unit for calculating each pixel based on the calculated RGB average value and the RGB value of each pixel And a characteristic correcting unit for correcting the display device to display the average value.

According to an exemplary embodiment, the characteristic correction unit may correct the display device based on the RGB average value and the RGB value of each pixel in a predetermined specific area.

Also, according to an exemplary embodiment, the characteristic correction unit may correct the display device based on the RGB average value and the RGB value of each pixel in a plurality of predetermined divided areas.

According to an embodiment, the image analyzing unit may calculate the RGB values of the first area among a plurality of preset divided areas, and estimate the RGB values of the second area among the preset divided areas based on the calculated RGB values .

In addition, according to one embodiment, the image analyzing unit may calculate the RGB values of the first region included in another predetermined divided region adjacent to one predetermined divided region including the second region to be estimated, The RGB values of the first area may be estimated by linear interpolation.

In addition, according to an exemplary embodiment, the camera may capture a pattern image without focusing the focused focus on the pattern image.

One embodiment of the display device may include a display unit for displaying the pattern image and a memory for storing the pattern image to be displayed and the correction data for causing the pixels of the display unit to display uniform RGB values.

In addition, according to one embodiment, the pattern image may include a position pattern image used to match the position of the image displayed on the display unit with the position of the image captured by the camera, and a position pattern image used when the pixel of the display unit displays a uniform RGB value And an RGB pattern image used to calculate data.

According to another embodiment of the present invention, the display device may further include a communication unit receiving the correction data calculated by the display correction device at least one of wired and wireless.

Also, according to one embodiment, the correction data may include a correction value of a predetermined specific area and a deviation in another area.

An exemplary embodiment of the display correction system includes a display device for displaying a pattern image, a camera for photographing a displayed pattern image, an image analyzing unit for calculating an RGB value of the captured pattern image, And a characteristic correction unit that generates correction data for causing each pixel to display the calculated average based on the RGB values.

In addition, according to one embodiment, the characteristic correction unit may generate correction data based on the RGB average value and the RGB value of each pixel in a predetermined specific area.

According to an exemplary embodiment, the characteristic correction unit may generate correction data based on the RGB average value and the RGB value of each pixel in a plurality of predetermined divided areas.

According to an embodiment, the image analyzing unit may calculate the RGB values of the first area among a plurality of preset divided areas, and estimate the RGB values of the second area among the preset divided areas based on the calculated RGB values .

In addition, according to one embodiment, the image analyzing unit may calculate the RGB values of the first region included in another predetermined divided region adjacent to one predetermined divided region including the second region to be estimated, The RGB values of the first area may be estimated by linear interpolation.

In addition, according to an exemplary embodiment, when there is no other preset divided area on one side of one preset divided area, the image analyzing unit may extend one predetermined divided area to one side to estimate the RGB value of the second area have.

According to an embodiment, the image analyzing unit may expand the RGB values of the first region included in one predetermined divided region to one side when there is no other predetermined divided region on one side of one predetermined divided region, It is also possible to estimate the RGB values of the two areas.

According to an exemplary embodiment, the RGB values extended to one side may be RGB average values of the first areas included in the one predetermined divided area.

In addition, according to an exemplary embodiment, the predetermined divided area may be reset by grouping the previously calculated RGB values into pixels belonging to a predetermined range.

In addition, according to one embodiment, the pattern image may include a position pattern image used for matching the position of the image displayed on the display device with the position of the photographed image on the camera, and a position pattern image used for matching a pixel And an RGB pattern image used to calculate data.

Also, according to one embodiment, the RGB pattern image may be a plurality of RGB pattern images having different values of R value, G value, and B value at a preset ratio.

In addition, according to an exemplary embodiment, the R, G, and B values of a plurality of RGB pattern images are the same in one RGB pattern image, but R, G, and B values of other RGB pattern images have different values It may be an RGB pattern image.

Also, according to one embodiment, one of the R, G, and B values of the plurality of RGB pattern images may be different, and the other values may be the same RGB pattern image.

Also, according to one embodiment, the correction data can be calculated for each of a plurality of RGB pattern images.

In addition, according to an exemplary embodiment, the camera may photograph the pattern image without adjusting the focused focus to the pattern image.

Also, according to one embodiment, the correction data may include a correction value of a predetermined specific area and a deviation in another area.

According to an exemplary embodiment, the display apparatus may further include a communication unit receiving the correction data calculated by the characteristic correction unit at least one of wired and wireless.

One embodiment of the display correction method includes a step of displaying a pattern image, a step of photographing a displayed pattern image, calculating RGB values of the photographed pattern image, and a step of calculating the RGB values of the pattern image based on the average value of the calculated RGB values and the RGB values of each pixel And correcting the pixel to display the calculated average value.

According to the display device, the display correcting device, the display correcting system, and the display correcting method described above, it is possible to correct the display device so that the display device displays uniform RGB values without changing the gamma curve, can do.

1 is a block diagram of a display correction system in accordance with one embodiment.
2A is a perspective view of a display correction system in accordance with one embodiment.
2B is a perspective view of a display correction system according to another embodiment.
2C is a perspective view of a display correction system according to yet another embodiment.
Fig. 3 is a block diagram of a display correction system for generating correction data according to embodiment A. Fig.
4 is a flowchart of a method of generating correction data according to embodiment A1.
5 is a flowchart of a method of generating correction data according to embodiment A2.
Fig. 6 shows a concept of generating correction data according to embodiment A3.
7 is a block diagram of a display correction system that generates correction data in accordance with embodiment B;
8 is a flowchart of a method of generating correction data according to embodiment B1.
Fig. 9 shows a concept of generating correction data according to embodiment B2.
Fig. 10 shows a concept of generating correction data according to embodiment B3.
Fig. 11 shows a concept of generating correction data according to embodiment B4.
12A illustrates a process of generating correction data according to an embodiment through a matrix.
12B shows a process of generating correction data according to another embodiment through a matrix.
13 is a flowchart of a method of generating correction data according to embodiment C. FIG.
14A to 14G show embodiments of a position pattern image.
15A is a graph showing the distribution of RGB values of the display device before the correction according to the embodiment.
15B is a graph showing the distribution of RGB values of the display device after correction according to an embodiment.
16A is a graph showing the distribution of RGB values of a display device before correction according to another embodiment.
16B is a graph showing the distribution of RGB values of the display device after correction according to another embodiment.
17 is a perspective view of a display correction system that generates correction data in a display correction device in accordance with one embodiment.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the like elements throughout. In the following description, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

The terms used in the following description are terms selected in consideration of functions in the embodiments, and the meaning of the terms may vary depending on the user, the intention or custom of the operator, and the like. Therefore, the meaning of the terms used in the following embodiments is defined according to the definition when specifically defined below, and in the absence of a specific definition, it should be construed in a sense generally recognized by ordinary artisans.

In addition, the configurations selectively described below or selectively described embodiments of the embodiments described below are not necessarily mutually exclusive, unless the technical details are apparent to those of ordinary skill in the art, It should be understood.

Hereinafter, embodiments of a display device, a display correction device, a display correction system, and a display correction method will be described with reference to the accompanying drawings.

Hereinafter, one embodiment of the configuration of the display correction system will be described with reference to Figs. 1 to 2C.

1 shows a block diagram of a configuration of a display correction system.

The display correction system 1 photographs a pattern image 950 displayed on the display device 600, compares the RGB values of the photographed image, and uniformizes each pixel of the display device 600 to specific RGB values. The display correction system 1 also measures the RGB values of a part of the pattern image 950 displayed on the display and estimates the RGB values of the remaining parts to equalize each pixel of the display device 600 to a specific RGB value .

Specifically, the display correction system 1 includes a display correction device 100 for capturing a pattern image 950 to generate correction data 910 and correcting the RGB values of the displayed image of the display device 600, And a display device 600 displaying the display data 950 and receiving and storing the correction data 910 from the display correcting device 100.

The display correcting apparatus 100 photographs the pattern image 950 displayed on the display device 600 and generates correction data 910 for correcting the RGB values of the photographed pattern image 950 to uniform RGB values.

Specifically, the display correcting apparatus 100 calculates a deviation between the displayed position pattern image 960 and the captured position pattern image 960 by photographing the position pattern image 960, and outputs the RGB pattern image 980 It is possible to generate correction data 910 for correcting the RGB values in each pixel of the display device 600 to specific RGB values and to correct the display device 600. [ The display correction apparatus 100 may include a camera 200, a sampling unit 250, an image analysis unit 300, a characteristic correction unit 400, and a first communication unit 500.

The camera 200 photographs a pattern image 950 displayed on the display device 600 and converts the pattern image 950 into a video signal. In addition, the pattern image 950 is sensed at the time of photographing and transmitted to the image analysis unit 300. For example, the camera 200 may detect the exposure time, the sensitivity (ISO), and the aperture value (F #), and may transmit the sensed image to the image analysis unit 300.

In addition, the camera 200 exposes the exposure time at a predetermined time or longer when capturing the pattern image 950. [ Specifically, banding noise or flickering may occur in the pattern image 950 photographed due to a change in illuminance around the display device 600 or the scan rate to be photographed, and even if the sensitivity is increased during shooting of a dark luminance image, The exposure time must be longer than a preset time. For example, the exposure time should be at least 0.0005 seconds.

In addition, the camera 200 may be positioned at a certain distance from the display device 600 to be corrected, and the distance from the display device 600 and the size or shape of the display device 600 may be variable. In the case where the display device 600 to be corrected and the camera 200 have a constant distance from each other and the same display device 600 is photographed to generate the correction data 910, The correction data 910 can be generated through the position data. However, if the distance between the display device 600 to be corrected and the camera 200 or the shape of the display device 600 is not constant, the display correction system 1 displays the position pattern image 960 It is required to calculate the deviation between the position pattern image 960 and the photographed position pattern image 960.

Further, although the camera 200 can use a high-performance camera 200 having a high pixel, a low-performance camera 200 having a low pixel can be used. Here, the high-performance camera 200 means a camera 200 having pixels five times or more the pixels of the display device 600 to be photographed. The low-performance camera 200 has a function Means a camera 200 having pixels less than 5 times. Also, as the sensor of the camera 200, CCD and CMOS using Si semiconductor can be used. In addition, various kinds of sensors may be used as an example of the camera 200 sensor.

The camera 200 can photograph the pattern image 950 by focusing on the front or rear face of the pattern image 950 without focusing on the pattern image 950 when the pattern image 950 is photographed .

The camera 200 may be an RGB camera 200 capable of recognizing both the R value, the G value, and the B value, or may be a monochromatic camera capable of recognizing only one of R value, G value, 200 may be used. Here, the type of the RGB pattern image 980 to be photographed or the number of the RGB pattern images 980 to be photographed may be determined according to which of the RGB camera 200 and the mono camera 200 the camera 200 is to be photographed.

The camera 200 may be a digital camera 200 and may be an analog camera 200 such as a film camera 200 or a polaroid camera 200 and a scanner for converting the photographed image into a digital signal It is possible. In addition, the pattern image 950 can be photographed through the portable electronic device including the camera 200 and the correction data 910 can be generated through an application processor (AP). Also, the camera 200 may be a camera 200 module. In addition, the camera 200 may be seated on a tripod to fix the position for photographing and prevent shaking.

The sampling unit 250 calculates the RGB value of a part of the display device 600 displaying the pattern image 950 to be captured and transmits the RGB value to the image analysis unit 300 so that the image analysis unit 300 obtains RGB Quot; In addition, the sampling unit 250 can determine preset divided regions by grouping regions having similar RGB values and estimated RGB values of the pattern image 950 previously measured. Specifically, the sampling unit 250 can group the RGB values of the pixels within a preset range to set a predetermined divided area.

The image analyzing unit 300 receives the RGB values sampled by the captured pattern image 950 or the sampling unit 250 and maps the deviation between the displayed pattern image 950 and the captured pattern image 950 , You can map the RGB values of each pixel. Also, the RGB values of the pixels in the non-sampled region can be estimated based on the sampled RGB values.

The image analysis unit 300 may include a position pattern mapping unit 310, an RGB pattern mapping unit 320, and an RGB estimation unit 330.

The position pattern mapping unit 310 analyzes the image signal of the position pattern image 960 stored in the memory 900 of the display device 600 and displays the position pattern image 960 and the captured position pattern image 960 ) Is measured.

Specifically, the position pattern mapping unit 310 extracts the feature points of the position pattern image 960 based on the pattern of the position pattern image 960, and stores the position pattern images 960 stored in the memory 900 and displayed on the display unit 1000 The distance and direction between the image 960 and the feature points of the photographed position pattern image 960 can be extracted.

For example, when the position pattern image 960 displayed on the curved surface display device 600 is photographed in 2D from the front, the photographed position pattern image 960 may be in the form of an hourglass in a planar view. That is, the position pattern image 960 having a shape in which the vertical side of the photographed position pattern image 960 has a straight line, the horizontal side has a curve, and the height of the center of the horizontal side is smaller than the height of both lateral sides is taken . In this case, when the RGB pattern image 980 is displayed and corrected, pixels at inappropriate positions can be corrected. Accordingly, the position pattern mapping unit 310 may calculate the deviation between the displayed position pattern image 960 and the captured position pattern image 960, and refer to the generated correction data 910.

The RGB pattern mapping unit 320 maps the RGB values displayed on each pixel of the display unit 1000 based on the image signal of the RGB pattern image 980.

Here, the RGB value is a combination of an R value corresponding to a red value, a G value corresponding to a green value, and a B value corresponding to a blue value in a distribution of three colors. Also, the RGB values may represent colors, but they may also indicate the brightness in a gray image where the R value, the G value, and the B value have the same value.

Specifically, the RGB pattern mapping unit 320 may calculate the RGB values of all the pixels of the display unit 1000 or may calculate the RGB values of an arbitrary region sampled by the sampling unit 250. [

The RGB estimating unit 330 samples the pattern image 950 of the first area included in the predetermined divided area in the sampling unit 250 and calculates the RGB value of the first area calculated by the RGB pattern mapping unit 320 The RGB value of the second area included in the previously set divided area is estimated.

Here, the predetermined divided area is a group of the pixels of the display unit 1000 grouped into a plurality of groups, which may be a plurality of groups. The predetermined divided area may be a divided area grouped into a plurality of groups of similar ranges having RGB values within a certain range based on the RGB values of other RGB pattern images 980. [ The first area included in the predetermined divided area may be an area sampled by the sampling part, statistically set to a region where the probability of occurrence of mura is low, or may be an area suitable for estimating the RGB value of the second area It is possible. In addition, the preset specific area is a specific area statistically set as a low occurrence probability area, and may be a single area or a plurality of areas.

Specifically, the RGB estimator 330 calculates the RGB values of the first area included in one predetermined divided area including the second area to be estimated and the RGB values of the first area included in the other predetermined divided areas The RGB values of the second area can be estimated by linear interpolation based on the RGB values of the first area included in the area.

In addition, the RGB estimator 330 may calculate the RGB values of one predetermined divided area or the first and second divided RGB values of the first and second divided areas when the preset divided area adjacent to one predetermined divided area including the second area to be estimated is insufficient to estimate by linear interpolation, The RGB value of the second region can be estimated by extending the RGB average value of the region. A detailed description of estimating the RGB values of the second area by extending the RGB values will be described below with reference to FIG.

In addition, the RGB estimating unit 330 may calculate the RGB values of the RGB pattern images 980 displayed on the display unit 1000 using the linear interpolation method based on the RGB values mapped to the RGB patterns of the different levels among the plurality of RGB pattern images 980, You can map the value.

The characteristic correction unit 400 corrects the value output from the display device 600 based on the deviation and the RGB value of the photographed pattern image 950 mapped by the image analysis unit 300 or the correction data 910).

Specifically, the characteristic modifying unit 400 may generate correction data 910 for equalizing the RGB values output from the display device based on the RGB values of the pattern image mapped by the image analyzing unit 300. The characteristic correcting unit 400 may generate the correction data 910 having the same R value, G value, and B value using at least one of the R value, the G value, and the B value, The correction data 910 may be generated based on the weights of the values and the B values, respectively. In addition, the characteristic correcting unit 400 can generate the correction data 910 so that the average value of the R value, the G value, and the B value is displayed when the difference between the RGB values of the mapped pixels is equal to or less than a preset value.

The characteristic correcting unit 400 may include an RGB comparator 410 and a correction data calculator 420.

The RGB comparing unit 410 compares the RGB values calculated by the image analyzing unit 300 for each pixel of the display unit 1000.

Specifically, the RGB comparator 410 compares the RGB value of each pixel of the display unit 1000 with the average value of RGB values of all the pixels of the display unit 1000 and determines whether the RGB value of the corresponding pixel is larger or smaller than the RGB average value Can be compared. The RGB comparator 410 may compare the RGB average value of a predetermined area of the display unit 1000 with the RGB value of each pixel of the display unit 1000. [ The RGB comparator 410 may compare the RGB average value of a plurality of predetermined divided areas with the RGB value of each pixel of the display unit 1000.

The correction data 910 calculation unit 420 generates the correction data 910 so that the RGB values of the respective pixels are displayed as the reference RGB values based on the RGB values compared by the RGB comparison unit 410. [

A detailed description of the correction data 910 in which the correction data 910 calculation unit 420 corrects the RGB values of the respective pixels will be described with reference to FIGS. 12A and 12B below.

The first communication unit 500 transmits the correction data 910 generated by the characteristic correction unit 400 to the display device 600. [ The first communication unit 500 may include a first communication module 510 and a first communication port 520.

The first communication module 510 confirms whether the session with the second communication module 720 is completed and transmits a communication signal for transferring the correction data 910 to the second communication unit 700. [ The first communication module 510 may include a first wired communication module 511 and a first wireless communication module 512.

The first wired communication module 511 determines whether the physical connection and the electrical connection between the first wired communication port 521 and the second wired communication port 711 are established or not and transmits the correction data 910 to the second And transmit it to the wired communication module 721.

The first wireless communication module 512 receives a signal for confirming a wireless session between the first wireless communication port 522 and the second wireless communication port 712 and transmits the correction data 910 to the second wireless communication port 712 when the pairing is completed. And transmit it to the communication module 722.

In particular, the first wireless communication module 512 may include an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a CODEC chipset, a Subscriber Identity Module ), And the like, including well known circuits for performing such functions.

The first wireless communication module 512 may also be a wireless communication module such as the Internet, which is called the World Wide Web (WWW), a wireless network such as an intranet and a network and / or a cellular telephone network, a wireless LAN and / or a metropolitan area network Network, and wireless communication with the second wireless communication module 722 and the network.

The wireless communication may be implemented in a variety of communication systems such as Global System for Mobile Communication (GSM), Enhanced Data GSM Environment (EDGE), wideband code division multiple access (WCDMA), code division multiple access (CDMA), time division multiple access (TDMA) (Bluetooth Low Energy), Near Field Communication (NFC), Zigbee, Wireless Fidelity (Wi-Fi) (e.g., IEEE 802.11a, IEEE 802.11b, IEEE 802.11g, and / or IEEE 802. 11n, Voice over Internet Protocol (VoIP), Wi-MAX, Wi-Fi Direct, Ultra Wideband (UWB), Infrared Data Association (IrDA), email, instant messaging and / A protocol for Short Message Service (SMS), or any other suitable communication protocol. In addition, various wireless communication methods may be used as an example of wireless communication.

Also, at least one of the above-mentioned wireless communication methods may be used instead of using only one wireless communication module in the first wireless communication module 512.

The first communication port 520 is a path for transmitting data to be transmitted from the first communication module 510 to the second communication module 720 to the second communication module 720 via the second communication port 710 to provide. The first communication port 520 includes a first wired communication port 521 for providing a path of data to be transmitted by the first wired communication module 511 and a second wired communication port 521 for providing a path of data transmitted from the first wireless communication module 512 (Not shown).

The first communication port 520 may be a high-definition multimedia interface port, a DVI port, a D-subminiature port, an unshielded twisted pair cable port, And may include a USB port (Universal Serial Bus port). In addition, various communication ports for transmitting and receiving the correction data 910 of the characteristic correcting unit 400 may be used as an example of the first communication port 520.

The display apparatus 600 receives the correction data 910 from the display correcting apparatus 100 and stores the correction data 910 in the memory 900 and outputs the corrected data 910 to the display unit 1000 using the correction data 910. [ The amount of light displayed on the pixel can be adjusted. In addition, the display device 600 may display the pattern image 950 such that the display correction device 100 generates the correction data 910.

In addition, the display device 600 may be in a state before the manufacture is completed, or may be in a state in which the display panel is implemented in the display device 600. Also, the display device 600 may be the display device 600 after gamma correction.

Specifically, the display device 600 may include a second communication unit 700, an input unit 750, a control unit 800, a memory 900, and a display unit 1000.

The second communication unit 700 receives the correction data 910 transmitted from the display correction apparatus 100 and transmits the correction data 910 to the control unit 800 or the memory 900. The second communication unit 700 may include a second communication port 710 and a second communication module 720.

The second communication port 710 provides a path for transmitting the correction data 910 transmitted from the first communication unit 500 to the second communication module 720. In addition, the second communication port 710 may include a second wired communication port 711 and a second wireless communication port 712.

The type of the second communication port 710 may be the same as or different from the first communication port 520 described above.

The second communication module 720 transmits the correction data 910 transmitted from the first communication unit 500 to the control unit 800 or the memory 900 through the second communication port 710. In addition, the second communication module 720 may include a second wired communication module 721 and a second wireless communication module 722.

The second wired communication module 721 receives the correction data 910 transmitted through the second wired communication port 711, receives the session signal transmitted from the first wired communication module 511, Module 511 to confirm the connection between the first wired communication port 521 and the second wired communication port 711.

The second wireless communication module 722 receives the correction data 910 transmitted through the second wireless communication port 712 and receives the session signal transmitted by the first wireless communication module 512 and transmits the first wireless communication Module 512 to confirm the connection between the first wireless communication port 522 and the second wireless communication port 712. [

The type and method of the second wireless communication module 722 may be the same as or different from the type and method of the first wireless communication module 512 described above.

The input unit 750 may be a combination of buttons provided on the display device 600 and may be a combination of buttons provided on the display device 600, It may be the same remote control device.

Specifically, the remote control device can control the display correction device 100 and / or the display device 600 using short range communication including infrared or bluetooth. The user can use the display correction device 100 and the display device 100 using a key (including a button), a touchpad, a microphone capable of receiving a user's voice, or a motion-recognizable sensor of the remote control device, And / or control the functions of the display device 600.

Also, the user can turn on / off the power of the display device 600, change the channel, adjust the volume, select the terrestrial broadcast / cable broadcast / satellite broadcast, or set the environment using the remote control device. The user may also use the remote control to power on / off the display device 600, change the channel, adjust the volume, select a source, or search for content (e.g., application, video, .

The control unit 800 controls all the operations of the display device 600. That is, the control unit 800 receives the correction data 910 from the second communication unit 700, stores the correction data 910 in the memory 900, adjusts the RGB values of the display unit 1000 based on the correction data 910 , And can select the broadcast or adjust the volume or the like based on the input signal of the input unit 750.

The control unit 800 may function as a central processing unit, and the type of the central processing unit may be a microprocessor. The microprocessor may include an arithmetic logic unit, a register, a program counter, a command decoder, And the like.

In addition, the microprocessor may include a graphics processor (GPU) for graphics processing of images or video. The microprocessor can be implemented as a system on chip (SoC) including a core and a GPU. A microprocessor may include single core, dual core, triple core, quad core and multiples thereof.

In addition, the control unit 800 may include a graphic processing board that includes a GPU, RAM, or ROM in a separate circuit board that is electrically connected to the microprocessor.

Specifically, the control unit 800 may include a main control unit 820 and a display control unit 810.

The main control unit 820 controls overall control of the control unit 800. [

The main control unit 820 may call the pattern image 950 stored in the memory 900 and transmit a signal to the display control unit 810 so that the display unit 1000 displays the pattern image 950. [ The main control unit 820 may receive the correction data 910 from the second communication unit 700 and store the correction data 910 in the memory 900. [ The main control unit 820 loads the correction data 910 stored in the memory 900 and causes the display control unit 810 to display the uniform RGB values of each pixel of the display unit 1000 in the display unit 1000 The size of the supplied input signal can be adjusted. The main control unit 820 may transmit a control signal to each configuration of the display device 600 to perform a corresponding operation input by the display device 600 based on an input signal of the input unit 750. [

The display control unit 810 receives a control signal from the main control unit 820 and can transmit a control signal for a desired operation to the display unit 1000.

The display control unit 810 may transmit a control signal to the display unit 1000 so that the display unit 1000 displays the position pattern image 960 or the RGB pattern image 980. [ The display control unit 810 can also adjust the control signal transmitted to the display unit 1000 so that each pixel of the display unit 1000 displays the RGB value designated by the correction data 910 based on the correction data 910 have.

Further, the display control unit 810 can control the display unit 1000 to correct the R, G, and B values so that the R, G, and B values are the same as the specific values have. Further, the display control section can perform correction for other values based on the correction data 910 for only at least one of the R value, the G value, and the B value.

Specifically, due to the limitation of the storage space of the memory 900 of the display device 600, the correction data 910 for at least one value is stored without storing the correction data 910 for each of the R value, the G value, and the B value, ) Or the difference between the R value, the G value and the B value displayed on all the pixels of the display unit 1000 is small to generate the correction data 910 for each of the R value, G value and B value Or when the data processing capability of the display device 600 adjusting the display unit 1000 based on the correction data 910 for calculating the correction data 910 or the correction data 910 is insufficient, Many corrections can be made with the data.

For example, when the RGB values of the photographed RGB pattern image 980 are equal to or less than a preset range, the display device 600 may have the same value even if the R value, the G value, and the B value have different values at the same level Correction can be performed. If the display device 600 has only the correction data 910 for at least one of the R value, the G value, and the B value, the display device 600 may extend the correction data 910 for the value to other values to have the same correction value. can do. If the display device 600 has only the correction data 910 for at least one of the R value, the G value, and the B value, the display device 600 may set the R value, the G value, and the B value such that the R value, 0.0 > and B < / RTI >

The memory 900 stores a pattern image 950 which is displayed on the display unit 1000 to generate correction data 910 for displaying the RGB value of the display unit 1000 as a reference RGB value and correction data 910 of the display Can be stored.

The memory 900 may also include a non-volatile memory 900 such as ROM, high-speed random access memory 900 (RAM), magnetic disk storage, flash memory 900 device, or other non-volatile semiconductor memory 900 ) Devices.

For example, the memory 900 may include a Secure Digital (SD) memory 900 card, a Secure Digital High Capacity (SDHC) memory 900 card, a mini SD memory 900 card, a mini SDHC A memory card 900, a TF (Trans Flach) memory 900 card, a micro SD memory 900 card, a micro SDHC memory 900 card, a memory 900 stick, a CF (Compact Flach) Card, MMC micro, XD (eXtreme Digital) card, and the like.

The memory 900 may also include a network attached storage device accessed via a network.

The correction data 910 may be data generated by comparing the RGB value of each pixel of the display unit 1000 with a reference RGB value, and the correction data 910 may be data having the form of a matrix. A detailed description of the correction data 910 will be described below with reference to FIGS. 12A and 12B.

The pattern image 950 is a test image to be displayed on the display unit 1000 in order to generate the correction data 910. That is, the image for comparing the difference between the pattern image 950 stored in the memory 900 and displayed on the display unit 1000 and the captured pattern image 950. In addition, the pattern image 950 may include a position pattern image 960 and an RGB pattern image 980.

The position pattern image 960 calculates a deviation between the position pattern image 960 displayed on the display unit 1000 and the position pattern image 960 captured by the camera 200, Position is located at a position in the position pattern image 960 photographed through the camera 200 so as to adjust the RGB value of the proper position when the correction data 910 is generated. This is because it is not required to generate the correction data 910 through the preset data when the size and the photographing distance of the display device 600 are constant when the display device 600 is corrected. However, if the size or the photographing distance of the display device 600 is not constant, the position pattern image 960 displayed through photographing of the position pattern image 960 is matched with the position pattern image 960 to be photographed, Correction data 910 must be generated.

The RGB pattern image 980 is an image used for recognizing the RGB difference between each pixel of the display unit 1000 and generating correction data 910 for equalizing the reference RGB value.

Specifically, the RGB pattern image 980 is an image representing a pattern image 950 having a preset RGB value. That is, the R, G, and B values of the RGB pattern image 980 may have a predetermined ratio and may have at least one type. For example, the R, G, and B values of the RGB pattern image 980 have the same value in one RGB pattern image 980, but are different from those of the other RGB pattern image 980 And may be a gray image.

In addition, the RGB pattern image 980 may be a pattern image 950 having one of R value, G value, and B value different from each other for the RGB pattern image 980, and the other value being a fixed value. That is, a pattern image 950 in which the G value and the B value except for the R value are fixed and the R value is changed, the pattern image 950 in which the R value and the B value except for the G value are fixed and the R value is changed, A combination of the pattern image 950 in which the R value and the G value are fixed and the R value is changed.

In addition, the RGB pattern image 980 may be an image having various bits. Specifically, the RGB pattern image 980 may be a pattern image 950 having an 8-bit pattern image 950 and having 256 levels. Here, the number of the RGB pattern images 980 may be plural, and the RGB pattern image 980 may be 256 or 768 images, but it may have a number less than that. For example, the RGB pattern image 980 has 10 levels (R value / G value / B value is 10/10/10), 25 levels (25/25/25), 40 levels (40 levels) / 40/40), 60 levels (60/60/60), and 200 levels (200/200/200).

Also, the pattern image 950 can be realized in one image at the same time, the position pattern image 960 and the RGB pattern image 980. Specifically, the pattern image 950 can be synthesized such that the position pattern of the position pattern image 960 is positioned at a position where the probability of occurrence of mura is low, and the characteristic of the RGB pattern image 980 is provided at other portions.

The display unit 1000 displays the pattern image 950 stored in the memory 900 so that the display correcting apparatus 100 generates the correction data 910 by photographing the pattern image 950 on which the camera 200 is displayed.

The display unit 1000 may include a flat display device 600, a curved display unit 1000 that is a screen having a curvature, or a flexible display unit 1000 that can adjust the curvature.

The output resolution of the display unit 1000 may include, for example, HD (High Definition), Full HD, and Ultra HD. The diagonal length of the screen of the display unit 1000 may include, for example, 650 mm or less, 660 mm, 800 mm, 1,010 mm, 1,520 mm, 1,890 mm, or 2,000 mm or more. The horizontal / vertical length of the screen of the display unit 1000 may include, for example, 643.4 mm x 396.5 mm, 934.0 mm x 548.6 mm, 1,670.2 mm x 962.7 mm, or 2,004.3 mm x 1,635.9 mm. Or the aspect ratio of the screen of the display unit 1000 may include, for example, 4: 3, 16: 9, 16: 10, 21: 9 or 21:10.

Figure 2a shows the appearance of a display correction system according to one embodiment, Figure 2b shows an appearance of a display correction system according to another embodiment, Figure 2c shows the appearance of a display correction system according to another embodiment Respectively.

As shown in FIGS. 2A to 2C, a display device 600 may be provided and a display correction device 100 may be provided on the front surface of the display unit 1000 of the display device 600. FIG.

The display correction apparatus 100 may be located at a position having a predetermined distance with the camera 200 attached to the tripod. In addition, one camera 200 may be provided, but a plurality of cameras 200 may be provided to photograph different areas of the display device 600. For example, in the curved display device 600, a plurality of cameras 200 may be provided at positions that are the centers of curved surfaces. In addition, various positions for generating the correction data 910 by photographing the displayed pattern image 950 and the number of the cameras 200 may be used as an example.

The display correction apparatus 100 includes a housing 150 for supporting and protecting the sampling unit 250, the image analysis unit 300, the characteristic correction unit 400, and the first communication unit 500 except for the camera 200, And the sampling unit 250, the image analyzing unit 300, the characteristic correcting unit 400, and the first communication unit 500 may be located inside the housing 150.

The connection between the display device 600 and the housing 150 and the camera 200 is connected by a wire between the display device 600 and the housing 150 as shown in one embodiment, (Not shown). The connection between the display device 600 and the housing 150 and the camera 200 is wirelessly connected between the display device 600 and the housing 150 as shown in other embodiments, (Not shown). The connection between the display device 600 and the housing 150 and the camera 200 is connected by a wire between the display device 600 and the housing 150 as shown in yet another embodiment, And may be wirelessly connected between the cameras 200. [

The configuration of the display correction system according to one embodiment has been described above.

Hereinafter, the display correction method according to the embodiments will be described.

Hereinafter, Embodiment A of the display correction method will be described with reference to Figs. 3 to 6. Fig.

Fig. 3 is a block diagram showing the configuration of a display correction system for generating correction data according to Embodiment A. Fig.

The display device 600 displays the RGB pattern image 980. [ That is, the first RGB pattern image 980_1 is displayed, and the camera 200 photographs the first RGB pattern image 980_1, converts the image into a video signal, and transmits the video signal to the image analysis unit 300. [ The RGB pattern mapping unit 320 of the image analysis unit 300 may map the RGB values of each pixel. Then, the RGB pattern mapping unit 320 transmits the RGB values of the mapped pixels to the characteristic correction unit 400.

The RGB comparator of the characteristic correcting unit 400 may compare the RGB value of each pixel with the RGB average value of all the pixels or the RGB value of each pixel with the RGB average value of the predetermined divided area to which the corresponding pixel belongs. In addition, the RGB comparator 410 may compare the RGB value of each pixel with the RGB average value of a predetermined specific area.

The correction data 910 calculator 420 may generate the correction data 910 so that the RGB values displayed by the respective pixels display the reference RGB values based on the RGB values compared by the RGB comparison unit 410. [

Here, the correction data 910 may be data in which correction values of respective pixels of the display device 600 are generated in a matrix form. The first correction data 910_1 by the first RGB pattern image 980_1 can be generated and the second correction data 910_2 by the second RGB pattern image 980_2 can be generated And the n-th correction data 910_n by the n-th RGB pattern image 980_n may be generated.

That is, when the first correction data 910_1 by the first RGB pattern image 980_1 is generated, the display device 600 displays the second RGB pattern image 980_2 to generate the second correction data 910_2 , It is possible to repeat the generation of the next order of correction data 910 by displaying the RGB pattern image 980 of the next order.

Here, Example A may include Examples A1, A2, and A3. Embodiment A1 is an embodiment in which the RGB value of each pixel is compared with the RGB average value of all the pixels and the reference RGB value is set as the RGB average value of all the pixels. In the embodiment A2, the RGB value of each pixel is compared with the RGB average value of the predetermined divided area to which the pixel belongs, and the reference RGB value is set as the RGB average value of the predetermined divided area to which the corresponding pixel belongs. In the embodiment A3, the RGB value of each pixel is compared with the RGB average value of the predetermined specific area, and the reference RGB value is set as the RGB average value of the predetermined specific area.

4 shows a flowchart of a method of generating correction data according to embodiment A1.

First, the display device displays an RGB pattern image, and the camera captures a displayed RGB pattern image (S 100) and converts it into a video signal. Then, the image analyzer compares the RGB value of each pixel of the photographed RGB pattern image and the RGB average value of the entire area (S110) and compares the two values for each pixel.

Then, the characteristic correction unit calculates the correction data based on the RGB value of each pixel and the calculated RGB average value (S 120). That is, the calculated RGB average value may be set as a reference RGB value, and the RGB value of each pixel may be set as a reference RGB value.

Then, it is determined whether the currently captured RGB pattern image is the n-th RGB pattern image (S 130).

If the order of the RGB pattern image currently photographed is not the n-th order, the control unit of the display device loads the RGB pattern image of the next order from the memory (S 140) and displays it on the display unit. Then, the display correction device sequentially performs the steps S 100 to S 130 based on the displayed RGB pattern image.

On the contrary, when the degree of the currently captured RGB pattern image is n-th degree, the first communication unit transmits the correction data to be calculated to the second communication unit of the display device (S 150), and the second communication unit transmits the received correction data to the memory And stores the transmitted correction data in the memory (S 160).

Finally, the display device can display the image (S 170) by transmitting the control signal to the display unit based on the correction data stored in the memory.

Fig. 5 shows a flowchart of a method of generating correction data according to embodiment A2.

First, the display device displays an RGB pattern image, and the camera captures the displayed RGB pattern image (S 200) and converts it into a video signal. Then, the image analyzing unit calculates the RGB value of each pixel of the captured RGB pattern image and the RGB average value of the predetermined divided areas (S 210), and compares the two values for each pixel.

Then, the characteristic correction unit calculates 220 the correction data based on the RGB value of each pixel and the calculated RGB average value of the predetermined divided areas. That is, the calculated RGB average value may be set as a reference RGB value, and the RGB value of each pixel may be set as a reference RGB value.

Then, it is determined whether the currently captured RGB pattern image is the n-th RGB pattern image (S 230).

If the degree of the currently photographed RGB pattern image is not the n-th degree, the sampling unit resets the preset divided area based on the RGB value (S 240). Specifically, the sampling unit may group the pixels having RGB values within a predetermined range, and reset the pixels of the same group to a preset divided area.

Then, the control unit of the display device loads the RGB pattern image of the next order from the memory (S 250) and displays it on the display unit. Then, the display correction device sequentially performs steps S 200 to S 230 based on the displayed RGB pattern image.

On the contrary, when the degree of the currently captured RGB pattern image is n-th degree, the first communication unit transmits the correction data to be calculated to the second communication unit of the display device (S260), and the second communication unit transmits the received correction data to the memory And stores the transferred correction data in the memory (S 270).

Finally, the display device may display the image (S280) by transmitting a control signal to the display unit based on the correction data stored in the memory.

Fig. 6 shows a concept of generating correction data according to embodiment A3.

The display device displays the RGB pattern image, and the camera captures the displayed RGB pattern image and converts it into a video signal. Here, the image analysis unit may map the RGB values of each pixel of the entire area TI of the photographed RGB pattern image.

In addition, the image analyzing section calculates the RGB average value of the predetermined specific area (CI), and the characteristic correcting section sets the RGB average value of the predetermined specific area (CI) as the reference RGB value, It is possible to generate the correction data so as to display the value.

Hereinafter, Embodiment B of the display correction method will be described with reference to FIGS. 7 to 11. FIG.

7 is a block diagram of a display correction system 1 for generating correction data 910 in accordance with embodiment B.

The display device 600 displays the RGB pattern image 980. [ That is, the first RGB pattern image 980_1 is displayed, and the camera 200 photographs the first RGB pattern image 980_1, converts it into a video signal, and transmits the video signal to the sampling unit 250. [

The sampling unit 250 samples RGB values of a first area included in a plurality of predetermined divided areas and transmits the sampled RGB values to the image analysis unit 300. The RGB pattern mapping unit 320 of the image analysis unit 300 may map the RGB values of the first area.

The RGB estimator 330 may estimate the RGB values of the second area included in the plurality of preset divided areas. Specifically, the RGB value of the first area of one predetermined divided area including the second area to be estimated and the RGB value of the first area included in another predetermined divided area adjacent to one predetermined divided area The RGB value of the second area can be estimated by linear interpolation. Then, the image analyzer 300 transmits the RGB values of the mapped pixels to the characteristic corrector 400.

The RGB comparator 410 of the characteristic correcting unit 400 may compare the RGB value of each pixel with the RGB average value of a predetermined divided area to which the corresponding pixel belongs and may compare the RGB value of each pixel with a preset divided area The RGB average value of the first area included in the first area may be compared. The RGB pattern comparison unit may compare the RGB value of each pixel with the RGB average value of a predetermined specific area.

Based on the RGB values compared by the RGB pattern comparison unit, the correction data 910 calculation unit 420 can generate the correction data 910 so that the RGB values displayed by the respective pixels display the reference RGB values.

Here, the correction data 910 may be data in which correction values of respective pixels of the display device 600 are generated in a matrix form. The first correction data 910_1 by the first RGB pattern image 980_1 can be generated and the second correction data 910_2 by the second RGB pattern image 980_2 can be generated And the n-th correction data 910_n by the n-th RGB pattern image 980_n may be generated.

That is, when the first correction data 910_1 by the first RGB pattern image 980_1 is generated, the display device 600 displays the second RGB pattern image 980_2 to generate the second correction data 910_2 , It is possible to repeat the generation of the next order of correction data 910 by displaying the RGB pattern image 980 of the next order.

Here, Example B may include Examples B1, B2, B3, and B4. In Embodiment B1, the RGB value of each pixel is compared with the RGB average value of the first area of the predetermined area including the pixel, and the reference RGB value is set to the RGB average value of the first area of the predetermined area including the pixel This is an embodiment. The embodiment B2 is an embodiment in which the central part is set as the first area in the previously set divided area. The embodiment B3 is an embodiment in which the upper left portion in the previously set divided area is set as the first area. In addition, Embodiment B4 is an embodiment in which a specific RGB value is expanded to one side when there is no other preset divided area on one side of a preset divided area.

8 is a flowchart of a method of generating correction data according to embodiment B1.

First, the display device displays an RGB pattern image, and the camera captures the displayed RGB pattern image (S 300) and converts it into a video signal. The sampling unit samples the video signal of the first area.

Then, the image analyzing unit calculates the RGB values of the first region and the RGB average values of the first regions included in the predetermined divided regions among the photographed RGB pattern images (S 310).

Then, the image analyzing unit estimates (S 320) the RGB values of the second regions of the predetermined divided regions based on the RGB values of the first regions adjacent to the second region to be estimated. Specifically, the RGB values of the second area located between the RGB values of the adjacent first areas can be estimated by linear interpolation.

Thereafter, the characteristic correction unit calculates (S 330) correction data based on the RGB values of the pixels and the RGB average values of the calculated first areas. That is, the calculated RGB average value may be set as a reference RGB value, and the RGB value of each pixel may be set as a reference RGB value.

Then, it is determined whether the currently captured RGB pattern image is the n-th RGB pattern image (S 340).

If the degree of the currently photographed RGB pattern image is not the n-th degree, the sampling unit resets the preset divided area based on the RGB value (S 350). Specifically, the sampling unit may group the pixels having RGB values within a predetermined range, and reset the pixels of the same group to a preset divided area.

Then, the control unit of the display device loads the RGB pattern image of the next order from the memory (S 360) and displays it on the display unit. Then, the display correction device sequentially performs steps S 300 to S 340 based on the displayed RGB pattern image.

On the contrary, if the degree of the currently captured RGB pattern image is n-th degree, the first communication unit transmits the correction data to be calculated to the second communication unit of the display device (S 370), and the second communication unit transmits the received correction data to the memory And stores the transferred correction data in the memory (S 380).

Finally, the display device may display the image (S 390) by transmitting a control signal to the display unit based on the correction data stored in the memory.

Fig. 9 shows a concept of generating correction data according to embodiment B2.

As shown in FIG. 9, nine divided pixels are grouped into one group in a predetermined divided area. In addition, the central part of the previously set divided area is set as the first area A1, and the part of the previously set divided area excluding the first area () is set as the second area A2.

In addition, the photographed RGB pattern image may be an example having a total of 25 preset divided regions in 225 pixels of a total of 15 x 15 pixels. However, these values are not limited to calculating the correction data for correcting the display device based on the RGB pattern image, and the number of the various pixels and the number of the predetermined divided areas may be used as an example.

Specifically, the sampling unit calculates the RGB value of the first area A1 of the previously set thirteenth divided area DI_13, and determines the seventh divided area DI_7 which is located in the vicinity of the previously set thirteenth divided area DI_13, A preset ninth divisional area DI_8, a preset ninth divisional area DI_9, a preset twelfth divisional area DI_12, a preset seventeenth divisional area DI_14, a seventeenth divided area DI_17, , The RGB values of the first area A1 of each of the preset 18th divided area DI_18 and the preset 19th divided area DI_19, It is possible to estimate the RGB value of the second area A2.

For example, if the RGB values of P78 and P68 are estimated by P78 of the previously set thirteenth divided area DI_13 and P68 of the predetermined eight divided area DI_8, the RGB value of P78 and the RGB value of P58, It can be estimated as an RGB value having a linear difference between the RGB values of P88.

Fig. 10 shows a concept of generating correction data according to embodiment B3.

As shown in FIG. 10, nine divided pixels are grouped into one group. The left upper portion of the previously set divided area is set as the first area A1, and the part of the previously set divided area excluding the first area A1 is set as the second area A2.

In addition, the photographed RGB pattern image may be an example having a total of 25 preset divided regions in 225 pixels of a total of 15 x 15 pixels. However, these values are not limited to calculating the correction data for correcting the display device based on the RGB pattern image, and the number of the various pixels and the number of the predetermined divided areas may be used as an example.

Specifically, the sampling unit calculates the RGB value of the first area A1 of the previously set thirteenth divided area DI_13, and determines the seventh divided area DI_7 which is located in the vicinity of the previously set thirteenth divided area DI_13, A preset ninth divisional area DI_8, a preset ninth divisional area DI_9, a preset twelfth divisional area DI_12, a preset seventeenth divisional area DI_14, a seventeenth divided area DI_17, , The RGB values of the first area A1 of each of the preset 18th divided area DI_18 and the preset 19th divided area DI_19, It is possible to estimate the RGB value of the second area A2.

For example, when the RGB values of P67 and P57 of the preset seventeenth divided area DI_13 and P57 of the preset eighth divided area DI_8 are estimated, the RGB value of P67 and the RGB value of P57 are converted into the RGB value of P47, It can be estimated as an RGB value having a linear difference between the RGB values of P77.

Fig. 11 shows a concept of generating correction data according to embodiment B4.

As shown in FIG. 11, the sides of the photographed RGB pattern image are insufficient for estimating the RGB values of the second region by using the linear interpolation method in the adjacent predetermined divided regions. Therefore, an arbitrary RGB value is required on one side where there is no adjacent predetermined dividing area.

In this case, the RGB estimator generates a first virtual area VI_1 by extending downward a preset divided area on the lower side and generates an RGB value of the second area based on the RGB value of the generated first virtual area VI_1 Can be estimated.

In addition, the RGB estimator may generate a second virtual area VI_2 by extending a preset divided area on the right side to the right and estimate the RGB value of the second area based on the RGB value of the generated second virtual area VI_2 can do.

In addition, the RGB estimation unit expands the RGB average value of the first area included in the predetermined divided area on the lower side of the lower side to the lower right diagonal direction to generate the third virtual area VI_3, and generates the generated third virtual area VI_3 The RGB value of the second area can be estimated based on the RGB value of the second area.

The RGB values corresponding to the RGB values of each pixel according to the embodiment have been described above.

Hereinafter, a method of calculating correction data according to an embodiment will be described through a matrix.

Hereinafter, embodiments of the display correction method will be described with reference to Figs. 12A and 12B.

The characteristic correcting unit 400 generates correction values of respective pixels by the RGB values analyzed by the image analyzing unit 300 and the photographed positional deviations of the pixels and the photographing environment of the camera 200, Lt; / RTI >

Specifically, the characteristic correcting unit 400 calculates the absolute amount of light in consideration of the photographing environment of the camera 200, and applies it to RGB values. The absolute amount of light is described in the following equation (1).

In Equation (1), the brightness of the photographed pattern image 950 as an expression for calculating the absolute light amount is proportional to the exposure time, inversely proportional to the sensitivity, and inversely proportional to the square of the aperture value.

The characteristic correcting unit 400 may calculate the correction value of the pixel based on the RGB value of the pixel and the RGB average value of the entire area of the display unit 1000. [ This will be explained using Equation (2).

Equation (2) is a formula for calculating a correction value based on the RGB value of the pixel and the RGB average value of all the areas of the display unit 1000. According to Equation (2), the correction value is obtained by subtracting the RGB value of the corresponding pixel from the basic RGB value of the displayed RGB pattern image 980 by dividing the RGB average value of all the areas and multiplying this value by the correction coefficient.

The characteristic correcting unit 400 may calculate the correction value of the pixel based on the RGB value of the pixel and the RGB average value of the specific area of the display unit 1000. [ This will be explained using Equation (3).

Equation (3) is a formula for calculating a correction value based on the RGB value of the pixel and the RGB average value of the specific area of the display unit 1000. [ According to Equation (3), the correction value is obtained by subtracting a value obtained by dividing the RGB value of the pixel by the RGB average value of the corresponding pixel to the basic RGB value of the displayed RGB pattern image 980, and multiplying this value by the correction coefficient.

12A shows a process of generating correction data 910 according to an embodiment through a matrix.

12A, the 5-level RGB pattern image 980 in the 8-bit RGB pattern image 980 is displayed on the display device 600 and the pixels of the display unit 1000 are displayed in the 5 x 5 Pixels.

As shown in FIG. 12A, the RGB values photographed through the camera 200 are 125, P12 is 50, P13 is 0, P14 is 25, P15 is 75, P21 is 200, P22 is 100, P23 is 75, P24 is 50, P25 is 0, P31 is 250, P32 is 175, P33 is 125, P34 is 100, P35 is 125, P41 is 225, P42 is 175, P43 is 175, P44 is 250, P45 is 175, 225, P52 is 175, P53 is 275, P54 is 375, and P55 is 250. In addition, the RGB values are arranged in a matrix form like the first matrix PM_1.

Then, the image analyzing unit 300 sets the RGB average value of P33 in the center as a reference RGB value, and divides the RGB value of the corresponding pixel by the reference RGB value into a matrix. For example, P11 is 1, P12 is 0.4, P13 is 0, P14 is 0.2, P15 is 0.6, P21 is 1.6, P22 is 0.8, P23 is 0.6, P24 is 0.4, P25 is 0, P31 is 2, 1.4, P33 is 1, P34 is 0.8, P35 is 1, P41 is 1.8, P42 is 1.4, P43 is 1.4, P44 is 2, P45 is 1.4, P51 is 1.8, P52 is 1.4, P53 is 2.2, P55 may be arranged as a second matrix PM_2 as 2.

Also, the image analyzing unit 300 may multiply the reference level of the RGB pattern image 980 displayed on the second matrix PM_2 by the third matrix PM_3. For example, P11 is 5, P12 is 2, P13 is 0, P14 is 1, P15 is 3, P21 is 8, P22 is 4, P23 is 3, P24 is 2, P25 is 0, P31 is 10, 7, P33 is 5, P34 is 4, P35 is 5, P41 is 9, P42 is 7, P43 is 7, P44 is 10, P45 is 7, P51 is 9, P52 is 7, P53 is 11, P54 is 15, P55 may be arranged as 10 and the third matrix PM_3.

The image analyzing unit 300 calculates the RGB level value of each pixel as expressed by Equation (4).

As shown in Equation (4), the image analyzing unit 300 may calculate the RGB level value of the corresponding pixel by dividing the RGB average value of the specific region into RGB values of the corresponding pixel and multiplying the RGB average value of the specific region by the reference level of the RGB pattern image 980.

The characteristic correcting unit 400 may calculate the correction value of the corresponding pixel by subtracting the RGB level of the corresponding pixel from the reference level of the displayed RGB pattern image 980 based on the RGB level value of the corresponding pixel. That is, it can be expressed as Equation (5).

The characteristic correcting unit 400 may calculate the correction value of the corresponding pixel by subtracting the RGB level value of the corresponding pixel from the reference level of the displayed RGB pattern image 980 as shown in Equation (5).

However, the characteristic correcting unit 400 can set the correction value to a negative value of the absolute value of the reference level when the correction value is negative and the absolute value of the correction value is larger than the reference level. For example, when the actual correction value of P53 is -6, but the reference level is 5, the characteristic correction unit 400 can set the correction value to -5.

In addition, the characteristic correcting unit 400 ensures that the value obtained by adding the reference level and the correction value does not exceed the maximum level of the RGB pattern image 980. For example, when the reference level is 250 and the correction value is 6, the correction value can be set to 5 in the environment of the 8-bit RGB pattern image 980. [

As described above, the correction value calculated by the characteristic correcting unit 400 can be rearranged into the fourth matrix PM_4 by applying the third matrix PM_3. For example, P11 is 0, P12 is +3, P13 is +5, P14 is +4, P15 is +2, P21 is -3, P22 is +1, P23 is +2, P24 is +3, 5, P31 is -5, P32 is -2, P33 is 0, P34 is +1, P35 is 0, P41 is -4, P42 is -2, P43 is -2, P44 is -5, P51 may be arranged as -4, P52 as -2, P53 as -5, P54 as -5 and P55 as -5 as the fourth matrix PM_4.

12B shows a process of generating correction data 910 according to another embodiment through a matrix.

12B, five levels of RGB pattern image 980 are displayed on the display device 600 in the 8-bit RGB pattern image 980 and the pixels of the display unit 1000 are displayed in 25 x 5 Pixels.

As shown in FIG. 12A, the RGB values photographed through the camera 200 are 125, P12 is 50, P13 is 0, P14 is 25, P15 is 75, P21 is 200, P22 is 100, P23 is 75, P24 is 50, P25 is 0, P31 is 250, P32 is 175, P33 is 125, P34 is 100, P35 is 125, P41 is 225, P42 is 175, P43 is 175, P44 is 250, P45 is 175, 225, P52 is 175, P53 is 275, P54 is 375, and P55 is 250. In addition, the RGB values are arranged in a matrix form like the first matrix PM_1.

Then, the image analyzing unit 300 sets the RGB average value of P33 in the center as a reference RGB value, and divides the RGB value of the corresponding pixel by the reference RGB value into a matrix. For example, P11 is 1, P12 is 0.4, P13 is 0, P14 is 0.2, P15 is 0.6, P21 is 1.6, P22 is 0.8, P23 is 0.6, P24 is 0.4, P25 is 0, P31 is 2, 1.4, P33 is 1, P34 is 0.8, P35 is 1, P41 is 1.8, P42 is 1.4, P43 is 1.4, P44 is 2, P45 is 1.4, P51 is 1.8, P52 is 1.4, P53 is 2.2, P55 may be arranged as a second matrix PM_2 as 2.

Also, the image analyzing unit 300 may multiply the reference level of the RGB pattern image 980 displayed on the second matrix PM_2 by the third matrix PM_3. For example, P11 is 5, P12 is 2, P13 is 0, P14 is 1, P15 is 3, P21 is 8, P22 is 4, P23 is 3, P24 is 2, P25 is 0, P31 is 10, 7, P33 is 5, P34 is 4, P35 is 5, P41 is 9, P42 is 7, P43 is 7, P44 is 10, P45 is 7, P51 is 9, P52 is 7, P53 is 11, P54 is 15, P55 may be arranged as 10 and the third matrix PM_3.

The image analyzing unit 300 calculates the RGB level value of each pixel as expressed by Equation (6).

As shown in Equation (6), the image analyzing unit 300 can calculate the RGB level value of the corresponding pixel by dividing the RGB average value of the specific region into the RGB value of the corresponding pixel and multiplying the RGB average value of the specific region by the reference level of the RGB pattern image 980.

The characteristic correcting unit 400 may calculate the correction value of the corresponding pixel by subtracting the RGB level of the corresponding pixel from the reference level of the displayed RGB pattern image 980 based on the RGB level value of the corresponding pixel. That is, it can be expressed as Equation (7).

The characteristic correcting unit 400 subtracts the reference level of the displayed RGB pattern image 980 from the value obtained by dividing the RGB level value of the corresponding pixel by the square of the reference level of the displayed RGB pattern image 980, The correction value can be calculated.

However, when the RGB level value of the corresponding pixel is 0, the characteristic correcting unit 400 can set and correct an arbitrary RGB level value.

As described above, the correction value calculated by the characteristic correcting unit 400 can be rearranged into the fourth matrix PM_4 by applying the third matrix PM_3. For example, P11 is 0, P12 is +7.5, P13 is 0, P14 is +20.0, P15 is +3.3, P21 is -1.9, P22 is +1.3, P23 is +3.3, P24 is +7.5, P25 is 0 , P31 is -2.5, P32 is -1.4, P33 is 0, P34 is +1.3, P35 is 0, P41 is -2.2, P42 is -1.4, P43 is -1.4, P44 is -2.5, P45 is -1.4, P51 -2.2, P52 is -1.4, P53 is -2.7, P54 is -3.3, and P55 is -2.5, and the fourth matrix PM_4.

In the above description, the correction method of the display correction system in which the relationship between the photographed pattern image and the pattern image to be displayed is set in advance is described.

Hereinafter, a method of correcting a display after setting a relation between a pattern image photographed through a position pattern image according to an embodiment and a pattern image to be displayed will be described.

13 is a flowchart of a method of generating correction data according to embodiment C. FIG.

First, the display device displays a position pattern image, and the camera captures the displayed position pattern image (S 400) and converts it into a video signal. Then, the image analyzing unit compares the position pattern image displayed based on the feature points of the position pattern image and the captured position pattern image to calculate the deviation, and the position of the pixel of the display unit in the captured image is recognized (S 410) .

Then, the display device displays the RGB pattern image, and the camera captures the displayed RGB pattern image (S 420) and converts it into a video signal. Then, the image analyzing unit calculates the RGB value of each pixel of the captured RGB pattern image and the RGB average value of the entire area (S 430), and compares the two values for each pixel. Thereafter, the characteristic correction unit calculates correction data based on the RGB values of each pixel and the calculated RGB average values. That is, the calculated RGB average value may be set as a reference RGB value, and the RGB value of each pixel may be set as a reference RGB value.

Then, it is determined whether the currently captured RGB pattern image is the n-th RGB pattern image (S440).

If the degree of the currently photographed RGB pattern image is not the n-th degree, the control unit of the display device loads the RGB pattern image of the next order from the memory (S 450) and displays it on the display unit. Then, the display correcting device sequentially performs the steps S 420 to S 440 again based on the displayed RGB pattern image.

Conversely, when the degree of the currently captured RGB pattern image is n-th order, the first communication unit transmits the correction data to be calculated to the second communication unit of the display device (S460), and the second communication unit transmits the transferred correction data to the memory And stores the transferred correction data in the memory (S 470).

Finally, the display device may display the image by transmitting a control signal to the display unit based on the correction data stored in the memory (S 480).

14A to 14G show embodiments of a position pattern image.

The position pattern image PI is a pattern image used for recognizing the deviation between the position of the pixel displayed on the display and the position of the pixel on the captured image, and for comparing the RGB value and calculating the correction data.

Accordingly, the position pattern image PI is an image in which the feature points exist, and feature points may exist regularly or irregularly in the position pattern image PI in the form of points, lines, or planes as shown in Figs. 14A to 14G.

In the above description, the method of calculating the correction data for correcting the display device according to the embodiment has been described.

Hereinafter, RGB values in the display device to which the calculated correction data according to the embodiment is applied will be described.

Hereinafter, the RGB value changes of the display device before and after the display correction will be described with reference to Figs. 15A to 16B.

FIG. 15A is a graph showing distribution of RGB values of a display device before correction according to an embodiment, and FIG. 15B is a graph showing distribution of RGB values of a display device after correction according to an embodiment.

15A and 15B show graphs of RGB values of two different horizontal axes in which 65-level RGB pattern gray images of 8-bit RGB pattern images are displayed on the display unit.

As shown in Fig. 15A, the RGB values of the photographed RGB pattern image before the display correction have a high RGB value at the center portion and a low RGB value at both side portions. That is, the horizontal and vertical RGB characteristics do not have a uniform value for each position of the horizontal axis.

However, as shown in FIG. 15B, the RGB values of the photographed RGB pattern image after the display correction have uniform values of the RGB characteristics in the horizontal and vertical directions. Also, gamma characteristics at each position have similar characteristics.

FIG. 16A is a graph showing the distribution of RGB values of a display apparatus before correction according to another embodiment, and FIG. 16B is a graph showing a distribution of RGB values of a display apparatus after correction according to another embodiment.

16A and 16B show graphs of RGB values of four different vertical axes in which 65-level RGB pattern gray images of 8-bit RGB pattern images are displayed on the display unit.

As shown in FIG. 16A, the RGB values of the photographed RGB pattern image before the display correction have a high RGB value at the center portion and a low RGB value at both side portions. That is, the horizontal and vertical RGB characteristics do not have a uniform value for each position of the vertical axis.

However, as shown in Fig. 16B, the RGB values of the photographed RGB pattern image after the display correction have uniform values of the RGB characteristics in the horizontal and vertical directions. Also, gamma characteristics at each position have similar characteristics.

Hereinafter, another embodiment of the display correction system will be described with reference to FIG.

17 is a perspective view of a display correction system for generating correction data in a display correction apparatus;

The display correction system 1 may include a camera 200, a communication assembly 160, an input unit 750, and a display device 600.

The camera 200 is configured to photograph a pattern image 950 displayed on the display and convert the pattern image 950 into a video signal. The camera 200 shown in Fig. 17 may be the same as the camera 200 shown in Figs. 1 to 2C, It is possible.

In addition, the communication assembly 160 transmits and receives data from the camera 200 to connect the camera 200 and the display device 600 together.

Specifically, the communication assembly 160 may include a first communication module 510 and a first communication port 520, such as the first communication unit 500, and may be connected to the camera 200 and the display device 600). For example, the communication assembly 160 receives the pattern image 950 captured by the camera 200 from the camera 200 in the form of a video signal, and provides the pattern image 950 to the display device 600 to generate correction data 910 . In addition, the communication assembly 160 may transmit a control signal to photograph the pattern image 950 displayed on the camera 200 in accordance with the display time of the pattern image 950 displayed on the display. The communication assembly 160 receives the pattern image 950 of the camera 200 at the time of photographing, the exposure time, the sensitivity ISO and the aperture value F #, and the like. The communication assembly 160 may be used to generate the correction data 910.

The communication method and type of the communication assembly 160 may be the same as or different from the first communication unit 500 of FIG.

The input unit 750 converts a command to a user into an input signal to control the display apparatus 600. Specifically, as shown in FIG. 17, the input unit 750 may be a remote control device capable of remote control. The user recognizes the correction notification image displayed on the display device 600 through the input unit 750 and determines whether to generate the correction data 910 and transmits the correction data to the display device 600. [

The display device 600 may display an image, and may receive the captured image of the displayed image to generate correction data 910.

Specifically, the display device 600 may include a memory 900, a display unit 1000, and a control unit 800.

The memory 900 and the display unit 1000 of FIG. 17 may be the same as or different from the memory 900 and the display unit 1000 of FIG.

The control unit 800 receives the pattern image 950 captured by the camera 200, maps the RGB values of the pixels, and generates correction data for uniformizing the RGB values of the respective pixels to the reference RGB values based on the mapped RGB values (910) and reflect it on the display unit (1000).

That is, the control unit 800 of FIG. 17 may include a display control unit 810 and a main control unit 820 as shown in FIG. The control unit 800 of FIG. 17 may include the sampling unit 250, the image analysis unit 300, and the characteristic correction unit 400 of FIG.

Through the display device 600 that communicates with the camera 200 and generates the correction data 910, the user can detect and correct the image quality deviation caused by the accumulated usage.

Specifically, the difference in displayed RGB values of the display device 600 due to the deterioration of the display device 600 due to accumulated use after the shipment of the display device 600, the shock due to the movement of the display device 600, Lt; / RTI > In order to correct the difference between the RGB values, the communication assembly 160 connected to the display device 600 and the camera 200 may be connected to detect a difference in RGB values. In this case, if the control unit 800 of the display device 600 determines that the difference of the detected RGB values is equal to or larger than a preset value requiring correction, the controller 800 of the display device 600 displays the correction notification image AI on the display device 600 ). ≪ / RTI >

Accordingly, the user recognizes that there is a deviation of the RGB values displayed on the display device 600 that is being used, and recognizes that the correction is necessary. If necessary, the deviation of the RGB values of the display device 600 may be equalized The pattern image 950 can be displayed to generate the correction data 910. [

The foregoing description is merely illustrative of the technical idea of the present invention, and various modifications, alterations, and permutations thereof may be made without departing from the essential characteristics of the present invention. Therefore, the embodiments and the accompanying drawings described above are intended to illustrate and not limit the technical idea, and the scope of the technical idea is not limited by these embodiments and the accompanying drawings. The scope of which is to be construed in accordance with the following claims, and all technical ideas which are within the scope of the same shall be construed as being included in the scope of the right.

1: Display Compensation System
100: Display correction device
200: camera
250: Sampling unit
300: Image analysis section
310: Position pattern mapping unit
320: RGB pattern mapping unit
330:
400: characteristic correction unit
410: RGB comparator
420: correction data calculation unit
500: first communication section
600: display device
700: second communication section
750: Input
800:
900: Memory
910: Calibration data
950: pattern image
960: Position pattern image
980: RGB pattern image
1000: Display unit

Claims (34)

A camera for photographing a pattern image displayed on the display device;
An image analyzer for calculating an RGB value of the photographed pattern image; And
A characteristic corrector for correcting the display device to display the calculated average value of each pixel based on the calculated RGB average value and the RGB value of each pixel;
. The method according to claim 1,
Wherein the characteristic correction unit corrects the display device based on an RGB average value and an RGB value of each pixel in a predetermined specific area. The method according to claim 1,
Wherein the characteristic correction unit corrects the display device based on an RGB average value and an RGB value of each pixel in a plurality of predetermined divided areas. The method according to claim 1,
Wherein the image analyzing unit calculates an RGB value of a first one of a plurality of predetermined divided areas and estimates an RGB value of a second one of the predetermined divided areas based on the calculated RGB value. 5. The method of claim 4,
The image analyzing unit may calculate the RGB value of the first area included in another predetermined divided area adjacent to one predetermined divided area including the second area to be estimated and the RGB value of the first area included in the one predetermined divided area, A display correction device for estimating RGB values by linear interpolation. The method according to claim 1,
Wherein the camera captures the pattern image without adjusting the focused focus to the pattern image. A display unit for displaying a pattern image; And
A memory for storing the displayed pattern image and correction data for causing a pixel of the display unit to display a uniform RGB value;
. 8. The method of claim 7,
The pattern image is used to calculate a position pattern image used for matching the position of an image displayed on the display unit with a position of an image photographed by the camera and correction data for causing a pixel of the display unit to display uniform RGB values A display device comprising an RGB pattern image to be used. 8. The method of claim 7,
A communication unit for receiving the correction data calculated by an external display correction device at least one of wired and wireless;
Further comprising: 8. The method of claim 7,
Wherein the correction data includes a correction value of a predetermined specific area and a deviation in another area. A display device for displaying a pattern image; And
An image analyzer for calculating an RGB value of the photographed pattern image; and a display unit for displaying an average value of each pixel calculated on the basis of the average value of the calculated RGB values and the RGB values of the pixels, A display correcting device including a characteristic correcting section for generating correction data for allowing the display device to display the corrected data;
/ RTI > 12. The method of claim 11,
Wherein the characteristic correction unit generates correction data based on the RGB average value and the RGB value of each pixel in a predetermined specific area. 12. The method of claim 11,
Wherein the characteristic correction unit generates correction data based on the RGB average value and the RGB value of each pixel in a plurality of predetermined divided areas. 12. The method of claim 11,
Wherein the image analyzer calculates RGB values of a first one of a plurality of preset divided areas and estimates RGB values of a second one of the predetermined divided areas based on the calculated RGB values. 15. The method of claim 14,
The image analyzing unit may calculate the RGB value of the first area included in another predetermined divided area adjacent to one predetermined divided area including the second area to be estimated and the RGB value of the first area included in the one predetermined divided area, And estimates the RGB value of the second area by linear interpolation of the RGB value. 16. The method of claim 15,
Wherein the image analyzing unit includes a display correction system for estimating an RGB value of the second area by expanding the one predetermined divided area to one side in the case where there is no other predetermined divided area on one side of the one predetermined divided area, . 16. The method of claim 15,
Wherein the image analyzing unit extends the RGB values of the first region included in the one predetermined divided region to one side when the other predetermined divided region is not present on one side of the one predetermined divided region, Wherein the RGB value of the display is estimated. 18. The method of claim 17,
Wherein the RGB values extended to the one side are RGB average values of the first region included in the one predetermined divided region. 14. The method of claim 13,
Wherein the predetermined divided area is reset by grouping the previously calculated RGB values into pixels belonging to a predetermined range. 12. The method of claim 11,
Wherein the pattern image includes a position pattern image used for matching a position of an image displayed on the display device with a position of an image photographed by the camera and a position pattern image used for calculating a correction data for causing a pixel of the display device to display uniform RGB values Wherein the RGB pattern image is used to display the RGB pattern image. 21. The method of claim 20,
Wherein the RGB pattern image is a plurality of RGB pattern images having R, G, and B values different from each other by a predetermined ratio. 22. The method of claim 21,
Wherein the R, G, and B values of the plurality of RGB pattern images are the same, but the R, G, and B values of the other RGB pattern images have different values. 22. The method of claim 21,
Wherein the plurality of RGB pattern images have different values of one of an R value, a G value, and a B value, and the other values are the same. 22. The method of claim 21,
Wherein the correction data is calculated for each of the plurality of RGB pattern images. 12. The method of claim 11,
Wherein the camera captures the pattern image without adjusting the focused focus to the pattern image. 12. The method of claim 11,
Wherein the correction data includes a correction value of a predetermined specific area and a deviation in another area. 12. The method of claim 11,
Wherein the display device further comprises a communication unit for receiving the correction data calculated by the characteristic correction unit at least one of wired and wireless. Displaying a pattern image;
Capturing the displayed pattern image and calculating an RGB value of the captured pattern image; And
Correcting the calculated average value of the RGB value and the RGB value of each pixel to display the calculated average value of each pixel;
/ RTI > 29. The method of claim 28,
Wherein the correction is performed based on the RGB average value and the RGB value of each pixel in a predetermined specific area. 29. The method of claim 28,
Wherein the correction is performed based on the RGB average value and the RGB value of each pixel in a plurality of predetermined divided areas. 29. The method of claim 28,
Wherein the calculating of the RGB values comprises: calculating a RGB value of a first one of a plurality of preset divided areas, and estimating an RGB value of the second one of the predetermined divided areas based on the calculated RGB value . 32. The method of claim 31,
The RGB values of the first region included in another predetermined divided region adjacent to one predetermined divided region including the second region to be estimated and the RGB values of the first region included in the one predetermined divided region are linear And estimating an RGB value of the second area by an interpolation method. 31. The method of claim 30,
Wherein the predetermined divided region is reset by grouping the previously calculated RGB values into pixels belonging to a predetermined range. 29. The method of claim 28,
Wherein the pattern image includes a position pattern image used for matching the position of the displayed image with the position of the photographed image and a display pattern including an RGB pattern image used for correcting the pixels of the display device to display uniform RGB values Correction method.

Images