KR20140129727A - Apparatus and Method for Generating of Luminance Correction Data - Google Patents

Abstract

The present invention relates to an apparatus and method for generating luminance correction data for compensating image quality distortion such as a defocusing defect, and a luminance correction method for a display apparatus.
A correction data generation unit according to an embodiment of the present invention includes a reference correction data generation unit for generating first reference correction data and second reference correction data for correcting luminance distortion of a first reference gray image and a second reference gray image; A gamma curve generating unit for calculating a gamma curve of the third reference gray image and the fourth reference gray image based on the first reference correction data and the second reference correction data; And third reference correction data for correcting luminance distortion of the third reference gray image and the fourth reference gray image based on a gamma curve of the third reference gray image and the fourth reference gray image, And a luminance correction data generation unit for generating correction data.

Description

[0001] The present invention relates to an apparatus and method for generating luminance correction data,

The present invention relates to an apparatus and method for generating luminance correction data for compensating image quality distortion such as a defocusing defect, and a luminance correction method for a display apparatus.

As mobile electronic devices such as mobile communication terminals and notebook computers are developed, there is an increasing demand for flat panel display devices applicable thereto.

Examples of flat panel display devices include a liquid crystal display device (LCD), a field emission display device (FED), a plasma display panel (PDP), and an organic light emitting diode (OLED) light emitting diode display device) has been developed.

Of these flat panel display devices, self-emission type organic light emitting diode display devices are attracting attention as a next generation display device because they have a high response speed, low power consumption, high resolution and large size.

1 is a circuit diagram schematically showing a pixel structure of an organic light emitting diode display device according to a related art.

Referring to FIG. 1, a pixel of a conventional organic light emitting diode display device includes a switching thin film transistor ST, a driving thin film transistor DT, a capacitor C, and a light emitting element OLED.

The light emitting device OLED is electrically connected between the source terminal of the driving thin film transistor DT and the ground power source Vss and emits light by the data current idata supplied from the driving thin film transistor DT

The pixel of the conventional organic light emitting diode display device has a data current Idata flowing from the driving power source Vdd to the light emitting element OLED by switching the driving thin film transistor DT according to the data voltage Vdata. A predetermined image is displayed by controlling the size of the light emitting device OLED to emit light.

In general, all OLED panels manufactured using the same manufacturing process should have the same luminance characteristics, but there is a variation in the actual manufacturing process, so that all the OLED panels do not exhibit the same luminance characteristics.

In addition, there may be a deviation in the luminance characteristics initially designed and after the fabrication is completed. Such deviation of the luminance characteristic may be different for each OLED panel, and may be different for each pixel in one OLED panel.

Therefore, even if the same data voltage Vdata is supplied to all the pixels, a threshold voltage deviation and a channel mobility of the driving thin film transistor DT included in each pixel are generated. Therefore, there is a problem that a luminance deviation occurs and an image quality distortion phenomenon such as a mura defect occurs.

FIG. 2 is a view showing a mura detection method according to the related art, and FIG. 3 is a diagram showing a luminance correction method according to the related art.

Referring to FIGS. 2 and 3, after the manufacture of the OLED panel is completed, a screen inspection of the OLED panel is performed before the product is released to the product, thereby correcting the blur defects and the luminance distortion of all the pixels.

In order to reduce the amount of calculation for calculating the luminance correction data, luminance correction data for four reference gray is generated from the entire luminance (gradation), and linear correction is applied to the remaining luminance to generate luminance correction data.

Images of 32, 64, 128 and 192 gray, which is a reference in the range of 0 to 255 gray, are displayed on the display panel, and reference gray images are photographed with a CCD camera to generate luminance data of four reference gray colors.

After performing the image processing process and the gray level detection process to generate the luminance compensation data for the reference gray (32, 64, 128, and 192 gray), the remaining gray luminance compensation data is interpolated using the reference gray .

Here, the moire pattern of the image is reduced in the image processing and the image distortion is corrected through calibration. A target luminance in the row direction is set in the nonuniformity detection process and the luminance of the entire display panel is measured to derive the difference between the luminance of the image displayed on the screen and the target luminance. The difference between the target luminance and the measured luminance thus derived becomes the luminance compensation data of the corresponding gray.

In the prior art, images must be captured in 32 gray, 64 gray, 128 gray, and 192 gray, respectively, by CCD camera in the mura detection process. That is, in order to obtain the luminance compensation data, at least four reference images must be imaged by the CCD camera, so that the tact time of the process of generating the luminance correction data becomes long.

In the prior art, when the images of the four reference gray (32, 64, 128, and 192 gray) are not normally captured, or when the image data obtained through the imaging is damaged, the brightness correction data may be erroneous, Can not be generated.

Particularly, in the low gradation region, there is a certain error in the luminance correction data due to the characteristic of the gamma curve. When a deviation occurs between the gamma curve without mura and the gamma curve with mura in the low gradation region There is a problem that an error occurs in the luminance compensation data of a low gradation.

For example, since luminance of 32 or less has non-linearity characteristics, an error occurs in the luminance correction data generated by the linear interpolation method. There arises a problem that the luminance is excessively compensated (compensated) or not compensated (compensated) at a low luminance (low gradation) due to a deviation between the actual luminance and the luminance and the luminance correction data. In addition, contours of the object are distorted.

Such image quality distortion occurs not only in the organic light emitting diode display device but also in other display devices. Furthermore, the image quality distortion phenomenon can be further increased as the screen size of the display device increases. Therefore, there is a need for a new method capable of preventing or preventing the image quality distortion phenomenon caused by the luminance non-uniformity characteristic of each pixel of the display device.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an apparatus and method for generating luminance correction data capable of preventing an image quality distortion phenomenon such as a smear defect.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an apparatus and method for generating a luminance correction data capable of reducing a tact time required for detecting image quality distortion.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an apparatus and method for generating a luminance correction data capable of reducing an error generated in the process of detecting image quality distortion.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an apparatus and method for generating luminance correction data capable of restoring loss of luminance correction data.

Other features and advantages of the invention will be set forth in the description which follows, or may be obvious to those skilled in the art from the description and the claims.

According to an aspect of the present invention, there is provided a correction data generation apparatus for generating first reference correction data and second reference correction data for correcting luminance distortion of a first reference gray image and a second reference gray image, A reference correction data generation unit to generate a reference correction data; A gamma curve generating unit for calculating a gamma curve of the third reference gray image and the fourth reference gray image based on the first reference correction data and the second reference correction data; And third reference correction data for correcting luminance distortion of the third reference gray image and the fourth reference gray image based on a gamma curve of the third reference gray image and the fourth reference gray image, And a luminance correction data generation unit for generating correction data.

According to another aspect of the present invention, there is provided a method of generating correction data, comprising: capturing a first gray image displayed on a screen to generate first reference correction data for correcting luminance distortion of the first reference gray image; ; Generating second reference correction data for correcting luminance distortion of the second reference gray image by capturing a second gray image; Calculating a gamma curve of the third reference gray image and the fourth reference gray image based on the first reference correction data and the second reference correction data; Generating third reference correction data for correcting luminance distortion of the third reference gray image based on a gamma curve of the third reference gray image; And generating fourth reference correction data for correcting luminance distortion of the fourth reference gray image based on the gamma curve of the fourth reference gray image.

According to the means for solving the above problems, the apparatus and method for generating luminance correction data according to the embodiment of the present invention can reduce the tact time required for detecting image quality distortion.

According to the means for solving the above-mentioned problems, errors occurring in the process of detecting image quality distortion can be reduced.

According to the solution of the above-mentioned problem, it is possible to restore the loss of the luminance correction data.

According to the solution of the above problem, the apparatus and method for generating luminance correction data according to the embodiment of the present invention can improve or prevent the image quality distortion phenomenon caused by the luminance unevenness of the pixel.

Other features and effects of the present invention may be newly understood through the embodiments of the present invention in addition to the features and effects of the present invention mentioned above.

1 is a circuit diagram schematically showing a pixel structure of an organic light emitting diode display device according to a related art.
2 is a diagram showing a mura detection method according to the prior art.
3 is a diagram illustrating a luminance correction method according to the related art.
4 is a view illustrating an organic light emitting display device to which luminance correction data according to an exemplary embodiment of the present invention is applied.
5 is a diagram illustrating a method of generating reference brightness data by measuring brightness of a test image displayed on an organic light emitting display device.
6 is a diagram showing an apparatus for generating luminance correction data according to an embodiment of the present invention.
7 to 12 are views showing a method of generating luminance correction data and a method of correcting luminance of an organic light emitting display device according to an embodiment of the present invention.

Hereinafter, preferred embodiments of an apparatus and method for generating luminance correction data according to the present invention will be described in detail with reference to the drawings.

4 is a view illustrating an organic light emitting display device to which luminance correction data according to an exemplary embodiment of the present invention is applied.

Referring to FIG. 4, the OLED display 100 includes an OLED panel 110 and a panel driver.

The panel driver of the OLED display 100 includes a gate driver 120, a data driver 130, a timing controller 140 and a memory 150. The panel driver generates a data signal corresponding to data input from the outside And supplies it to each pixel.

The OLED panel 110 displays an image by emitting an organic light emitting diode OLED formed in each sub pixel according to a data voltage Vdata supplied from the data driver 130. To this end, the OLED panel 110 includes a plurality of data lines DL, a plurality of scan lines SL, and a plurality of power lines DL formed in parallel with the plurality of data lines DL, (PL) is formed.

The sub-pixel may be divided into a red sub-pixel, a green sub-pixel, and a blue sub-pixel. The red sub-pixel, the green sub-pixel and the blue sub-pixel constitute one pixel.

As another example, the sub-pixel may be divided into a red sub-pixel, a green sub-pixel, a blue sub-pixel, and a white sub-pixel. The red sub-pixel, the green sub- Pixels.

The organic light emitting device OLED includes an organic light emitting cell that emits light of any one of red, green, blue, and white. The organic light emitting cell may have a structure of a hole transporting layer / an organic light emitting layer / an electron transporting layer or a structure of a hole injecting layer / a hole transporting layer / an organic light emitting layer / an electron transporting layer / an electron injecting layer. Further, the organic light emitting cell may further include a functional layer for improving the luminous efficiency and / or lifetime of the organic light emitting layer.

The pixel circuit outputs the data current Vdata corresponding to the data voltage Vdata supplied from the data driver 130 to the data line DL in response to the scanning signal SS supplied from the gate driver 120 to the scanning line SL. To the organic light emitting diode OLED.

To this end, the pixel circuit PC comprises a switching transistor, a driving transistor, and at least one capacitor formed on a substrate by a thin film transistor forming process.

The switching transistor is switched according to a scanning signal SS supplied to the scanning line SL to supply the driving transistor with the data voltage Vdata supplied from the data line DL.

The driving transistor is switched according to the data voltage Vdata supplied from the switching transistor to generate a data current based on the data voltage Vdata and supplies the data current to the organic light emitting diode OLED, . The at least one capacitor holds the data voltage supplied to the driving transistor for one frame.

The timing controller 140 controls the driving timing of each of the gate driver 120 and the data driver 130 in accordance with a timing synchronization signal sync input from an external system body (not shown) or a graphic card (not shown) do.

The memory 150 is included in the organic light emitting display device 100 and luminance correction data for preventing image quality distortion such as an odd defect due to luminance unevenness of all the pixels of the OLED panel 110 is stored in the memory 150 Is stored.

Here, the luminance correction data may be generated and stored for the individual pixels, or the luminance correction data may be generated and stored for each block by configuring a predetermined number of pixels as blocks.

The memory 150 in which the luminance correction data is stored may be formed in the organic light emitting display device 100 in an independent configuration. As another example of the present invention, the memory 150 may be implemented in a form embedded in the timing controller 140 or the data driver 130.

The timing controller 140 generates a scan control signal and a data control signal based on a timing synchronization signal such as a vertical synchronization signal Vsync, a horizontal synchronization signal Hsync, a data enable DE, and a clock DCLK . And controls the driving timing of the gate driver 120 through the scan control signal. The driving timing of the data driver 130 is controlled through the data control signal DCS.

The timing controller 140 loads the luminance correction data stored in the memory 150 and corrects the luminance of all the pixels by reflecting the luminance correction data to the image data supplied to the OLED panel 110. [ At this time, the timing controller 140 aligns the data of red, green, blue, and white so as to be suitable for driving the OLED panel 110, and supplies the data driver 130 with the aligned data RGBW.

The gate driver 120 generates a scan signal SS according to a scan control signal SCS supplied from the timing controller 140 and sequentially supplies the scan signal SS to the plurality of scan lines SL.

The data driver 130 receives data (RGBW) and a data control signal (DCS) supplied from the timing controller 140 and receives a plurality of reference gamma voltages from an external power supply unit (not shown). The data driver 130 converts the alignment data RGBW into analog data voltages Vdata using a plurality of reference gamma voltages in accordance with the data control signal DCS and supplies the converted data voltages to the corresponding data lines DL .

5 is a diagram illustrating a method of generating reference brightness data by measuring brightness of a test image displayed on an organic light emitting display device.

Referring to FIG. 5, the test image supply unit generates first through fourth test image data of different gray levels, respectively, and supplies the first through fourth test image data to the OLED display 100. For example, the first test image may be displayed in 32 gray, the second test image in 64 gray, the third test image in 128 gray, and the fourth test image in 192 gray.

Here, the test image supply unit may sequentially arrange the two test images among the first to fourth test images, and supply the two test images to the organic light emitting display device 100.

In the present invention, among the 0 to 255 gray, 32, 64, 128, 192 gray is set as the reference gray, and the luminance which corrects the luminance distortion of the 0 to 255 gray image using the two reference gray among the four reference gray Correction data can be generated.

However, the present invention is not limited to this, and one gray among 0 to 31 gray as well as 32, 64, 128, and 192 gray can be set as the reference gray.

It is also possible to set one gray among 33 to 63 gray as the reference gray, one gray among 65 to 127 gray as the reference gray, and one gray among the 193 to 255 gray as the reference gray.

In this manner, the luminance correction data for correcting the luminance distortion of the entire gray (0 to 255 gray) image can be generated by using two reference gray among four set reference gray.

The OLED panel 110 displays a first test image of the first gray supplied from the test image supply unit and a second test image of the second gray.

The brightness measuring device measures the brightness of the first test image and the brightness of the second test image by capturing the first test image and the second test image displayed on the OLED panel 110.

The brightness measuring device measures the brightness of the first test image to generate the first reference brightness data, and measures the brightness of the second test image to generate the second reference brightness data. And provides the generated first reference luminance data and second reference luminance data to the luminance correction data generator 200. [ The brightness measuring device may be a digital camera or an image sensor.

FIG. 6 is a diagram illustrating a luminance correction data generation apparatus according to an embodiment of the present invention, and FIGS. 7 to 12 are diagrams illustrating a luminance correction data generation method and a luminance correction method of an organic light emitting display device according to an embodiment of the present invention. to be.

The configuration of the apparatus 200 for generating a luminance correction data and the method of generating luminance correction data according to the embodiment of the present invention shown in Fig. 5 will be described with reference to Figs. 6 to 12, .

6, the apparatus 200 for generating luminance correction data according to an exemplary embodiment of the present invention generates luminance correction data so that luminance corresponding to input image data is accurately displayed on a pixel, and supplies the luminance correction data to the OLED display 100 do.

And generates luminance correction data for lowering the gray of the image data input to the pixel when the luminance deviation is increased so that the actual luminance is higher than the input image data, thereby correcting the luminance of the image displayed on the organic light emitting display device 100.

On the contrary, when a luminance variation in which the actual luminance is lower than the input image data is generated, positive luminance correction data for increasing the gray of the image data input to the pixel is generated and the luminance of the image displayed in the organic light- .

Here, the luminance correction data generation apparatus 200 generates the luminance correction data of two reference gray among the four reference gray, and generates the luminance correction data of the second reference gray based on the luminance correction data of the first reference gray and the luminance correction data of the second reference gray. (The third reference gray and the fourth reference gray). Then, linear interpolation is applied to the luminance correction data of the four reference gray levels to generate the entire gray luminance correction data from 0 gray to 255 gray.

The apparatus 200 for generating luminance correction data according to an exemplary embodiment of the present invention includes a reference correction data generator 210, a gamma curve calculator 220, and a luminance correction data generator 230.

Referring to Fig. 7, the reference correction data generation unit 210 generates a reference correction data based on the first reference luminance data and the second reference luminance data supplied from the luminance measurement apparatus, that is, The first reference correction data and the second reference correction data based on the luminance data and the second reference luminance data.

Here, the 64 gray first test image and the 192 gray second tester image are supplied to the OLED panel 110, and the actual brightness of the first test image and the second test image displayed on the OLED panel 110 are measured And generates first reference luminance data and second reference luminance data.

Specifically, first reference correction data for luminance correction of 64 gray images is generated based on luminance data of 64 gray images, that is, first reference luminance data among 32, 64, 128, 192 gray. Further, based on the luminance data of 192 gray images, that is, the second reference luminance data, second reference correction data for luminance correction of 192 gray images is generated.

Here, the first reference correction data is luminance correction data of 64 gray images, and the second reference correction data is luminance correction data of 192 gray images.

As another example, based on the luminance data of the 32 gray image, i.e., the first reference luminance data, the first reference correction data for luminance correction of the 32 gray image is generated. In addition, second reference correction data for luminance correction of 128 gray images may be generated based on the luminance data of 128 gray images, that is, the second reference luminance data.

Here, the first reference correction data is luminance correction data of 32 gray images, and the second reference correction data is luminance correction data of 128 gray images.

As another example, the first reference correction data for luminance correction of 32 gray images is generated based on the luminance data of the 32 gray image, that is, the first reference luminance data. It is also possible to generate second reference correction data for luminance correction of 192 gray images based on the luminance data of 192 gray images, that is, the second reference luminance data.

Here, the first reference correction data is luminance correction data of 32 gray images, and the second reference correction data is luminance correction data of 192 gray images.

As another example, the first reference correction data for luminance correction of 64 gray images is generated based on the luminance data of 64 gray images, that is, the first reference luminance data. In addition, second reference correction data for luminance correction of 128 gray images may be generated based on the luminance data of 128 gray images, that is, the second reference luminance data.

Here, the first reference correction data is luminance correction data of 64 gray images, and the second reference correction data is luminance correction data of 128 gray images.

The first reference correction data and the second reference correction data for correcting the brightness of the 32 gray and 64 gray images are generated based on the first brightness data of the 32 gray image and the second brightness data of the 64 gray image can do. Further, based on the first luminance data of 128 gray images and the second luminance data of 192 gray images, it is possible to generate first reference correction data and second reference correction data for correcting the luminance of 128 gray and 192 gray images .

The correction data of the four reference gray (32, 64, 128, 192) is used for gray interpolation. Two reference gray images are picked up to generate two reference correction data.

The second reference gray correction data, that is, the third reference correction data and the fourth reference correction data, using the correction data of the two reference gray, that is, the first reference correction data and the second reference correction data.

To this end, the gamma curve calculating unit 220 calculates the gamma curve of the remaining two reference gray existing luminance distortions based on the first reference correction data and the second reference correction data. That is, the gamma curve calculating unit 220 calculates the gamma curve of the third reference gray image and the fourth reference gray image based on the first reference correction data and the second reference correction data.

For example, using the first reference correction data for luminance correction of 64 gray images and the second reference correction data for luminance correction of 192 gray images, a gamma curve of a 32 gray image in which luminance distortion exists and a gamma curve of a 128 gray image Gamma curve can be calculated.

The luminance correction data generation unit 230 may generate third reference correction data for correcting the luminance distortion of the third reference gray image based on the gamma curve of the third reference gray image. The luminance correction data generation unit 230 may generate fourth reference correction data for correcting the luminance distortion of the fourth reference gray image based on the gamma curve of the fourth reference gray image.

Referring to FIG. 8, the theoretical luminance value of the image data supplied to the OLED panel 110 and the luminance of the actual image displayed on the screen may be varied.

It is possible to know the degree of distortion of the luminance through the gamma curve (for example, 2.2 gamma curve) in the region without mura and the deviation of the gamma curve in the region where mura is generated, as shown in the following Equation 1: Therefore, the luminance correction data can be generated based on the theoretical gamma curve of the area without mura and the deviation of the gamma curve of the mura generated area.

In Equation (1), "comp" is a correction value for ray, "k " is a variable of the r_mura graph, and" r_mura " If the values of "r_mura" and "k" in Equation (1) are inferred, luminance correction data for all gray colors can be generated in the Gamma Curve in which the mura exists.

First, a method of generating reference correction data of 32 gray images and reference correction data of 192 gray images, which are two reference gray, will be described.

For example, assuming that a formula for generating reference correction data of 32 gray images and reference correction data of 192 gray images is obtained, the following procedure is performed to calculate the reference correction data of 32 gray images and the reference of 192 gray images Correction data can be generated.

In Equation (2), +21 luminance distortion is generated in the 192 gray image and +6 luminance distortion is generated in the 32 gray image.

Through the above equation (2), the deviation of the gamma curve of the 2.2 gamma of 192 gray and the actual image can be known, and the deviation of the gamma curve of 2.2 gamma of 32 gray and the actual image can be known.

It can be seen how the reference gray image displayed on the OLED panel 110 is distorted by the deviation of the gamma curve. It can be seen whether OLED panel 110 is actually displayed with luminance lower than 32 luminance or conversely higher luminance than OLED panel 32 when image data intended to express 32 luminance is input. That is, it can be seen that the luminance distortion is generated as much as the deviation of the gamma, and thereby, 32-gray and 192-gray reference compensation data can be generated.

In the above equation (2), the following equation (3) can be obtained by taking log on both sides of the two equations.

]은 상수이므로, 앞에서 구한[

] 수식을 하기의 수학식 4과 같이 나타낼 수 있다.In the above Equation 3,

] Is a constant,

] Equation 4 can be expressed as Equation 4 below.

K "and " r_mura" are calculated by using the 32 gray and 192 gray of the equation (4), and the gamma curve of the 64 gray image can be calculated using the following equation (5).

Referring to FIG. 9, the luminance correction data generation unit 230 may generate reference correction data of 64 gray images using the calculated 64 gray gamma curve.

Through the processes of Equations 1 to 5, the gamma curve of the 64 gray image can be calculated without imaging the actual screen.

The deviation of the theoretical 2.2 gamma curve without luminance distortion and the calculated gamma curve of 64 gray can be known and it is possible to calculate the luminance correction value of 64 gray image, that is, reference correction data of 64 gray.

The luminance correction data for correcting the luminance distortion can be generated using the deviation between the gamma curve without luminance distortion and the gamma curve with luminance distortion.

As described above, the gamma curve of the 64 gray image can be calculated using the 32-gray and 192-gray reference correction data, and the reference correction data of the 64-gray image can be generated using the gamma curve of 64 gray image.

The gamma curve of the 128 gray image is calculated by using the brightness correction data of 32 gray and 192 gray, and the brightness correction of the 128 gray image is performed using the gamma curve of the 128 gray image, Data can be generated.

As another example of the present invention, referring to FIG. 10, a gamma curve of 64 gray images and a gamma curve of 192 gray images are calculated using the luminance correction data of 32 gray images and the luminance correction data of 128 gray images. Based on the calculated gamma curve of the 64 gray image and the gamma curve of the 192 gray image, the luminance correction data of the 64 gray image and the luminance correction data of the 192 gray image can be generated.

As another example of the present invention, referring to FIG. 11, a gamma curve of a 64 gray image and a gamma curve of a 128 gray image are calculated using luminance correction data of 32 gray images and luminance correction data of 192 gray images. Based on the calculated gamma curve of the 64 gray image and the gamma curve of the 128 gray image, the luminance correction data of the 64 gray image and the luminance correction data of the 128 gray image can be generated.

As another example of the present invention, referring to FIG. 12, gamma curves of 32 gray images and gamma curves of 192 gray images are calculated using luminance correction data of 64 gray images and luminance correction data of 128 gray images.

Based on the calculated gamma curve of the 32 gray image and the gamma curve of the 192 gray image, the luminance correction data of the 32 gray image and the luminance correction data of the 192 gray image can be generated.

Next, the luminance correction data generation unit 230 applies the linear interpolation to the luminance correction data of the reference correction data of the four reference gray images, i.e., 32, 64, 128, and 192 gray images, And generates correction data.

In the foregoing description, it has been described that the entire gray of the image is composed of 256 steps (0 to 255), but this is one of the various embodiments of the present invention. The entire gray of the image may be composed of 128 steps, 512 steps or 1024 steps. In this case as well, it is possible to generate the entire gray brightness correction data using the brightness correction data of the four reference gray images.

For example, the luminance correction data generation unit 230 may generate luminance correction data of 0 to 31 gray images by applying linear interpolation to the luminance correction data of 32 gray images.

The luminance correction data generation unit 230 may generate luminance correction data of 33 to 63 gray images by applying linear interpolation to luminance correction data of 32 gray images and luminance correction data of 64 gray images.

The luminance correction data generation unit 230 may generate luminance correction data of 65 to 127 gray images by applying linear interpolation to luminance correction data of 64 gray images and luminance correction data of 128 gray images.

The luminance correction data generation unit 230 may generate luminance correction data of 129 to 191 gray images by applying linear interpolation to luminance correction data of 128 gray images and luminance correction data of 192 gray images.

In addition, the luminance correction data generation unit 230 may generate luminance correction data of 193 to 255 gray images by applying linear interpolation to the luminance correction data of 192 gray images.

The luminance correction data generation unit 230 provides the generated luminance correction data of all gray (0 to 255) to the memory 150 of the organic light emitting display device 100. At this time, the luminance correction data of 0 to 255 gray can be stored in the look-up table of the memory 150. [

An error may be generated in the process of detecting image quality distortion. An apparatus and method for generating luminance correction data according to an embodiment of the present invention generates two luminance correction data of a reference gray image by capturing two gray images, So that the error generated in the process of detecting the image quality distortion can be reduced by generating the entire gray luminance correction data.

When the deviation between the theoretical gamma curve for the two reference gray and the gamma curve calculated by picking up the actual image exceeds the reference value, the OLED panel 110 is judged to be defective, and then the luminance correction data generation process Do not proceed. Therefore, it is possible to discriminate the normal or defective of the OLED panel 110 by capturing only two reference gray images.

As another example, the luminance correction data generator 200 according to the embodiment of the present invention may map the luminance correction data of 0 to 255 gray in a table format so as to correspond to each pixel.

However, the present invention is not limited to this, and the luminance correction data generation apparatus 200 according to the embodiment of the present invention may be configured so as to constitute a plurality of blocks in 4x4 pixel units or 8x8 pixel units, The same luminance correction data may be applied so that the luminance correction is performed.

The apparatus and method for generating luminance correction data according to the embodiment of the present invention can generate the entire gray luminance correction data using the luminance correction data generated by picking up two reference gray. This can reduce the tact time required to detect image quality distortion.

Further, the apparatus and method for generating luminance correction data according to the embodiment of the present invention can improve or prevent image quality distortion caused by luminance unevenness of a pixel.

Further, it is possible to prevent errors in the luminance correction data for luminance in which the gamma curve has a nonlinear characteristic, and to prevent or prevent the image quality distortion phenomenon caused by the luminance unevenness of the pixels. In addition, it is possible to prevent excessive correction of luminance, non-correction, and distortion of the outline of an object caused by the limitations of the conventional linear interpolation method

It will be understood by those skilled in the art that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: organic light emitting display device 110: OLED panel
120: gate driver 130: data driver
140: timing controller 150: memory
200: luminance correction data generator 210: reference correction data generator
220: gamma curve calculation unit 230: luminance correction data generation unit

Claims (11)

A reference correction data generation unit for generating first reference correction data and second reference correction data for correcting luminance distortion of the first reference gray image and the second reference gray image;
A gamma curve generating unit for calculating a gamma curve of the third reference gray image and the fourth reference gray image based on the first reference correction data and the second reference correction data; And
A third reference correction data for correcting luminance distortion of the third reference gray image and a fourth reference gray image based on a gamma curve of the third reference gray image and the fourth reference gray image, And a brightness correction data generation unit that generates data based on the brightness correction data. The method according to claim 1,
The luminance correction data for correcting the luminance distortion of the first to fourth reference gray images by using the deviation of the gamma curve without luminance distortion of the first to fourth reference gray images and the gamma curve with the luminance distortion And generates the luminance correction data. The method according to claim 1,
And generates the luminance correction data of 0 to 255 gray based on the first reference correction data to the fourth reference correction data. The method of claim 3,
And the luminance correction data of 0 to 31 gray images is generated by applying linear interpolation to the luminance correction data of the 32 gray image. The method of claim 3,
Wherein luminance correction data of 33 to 63 gray images is generated by applying a linear interpolation method to luminance correction data of 32 gray images and luminance correction data of 64 gray images. The method of claim 3,
The luminance correction data of 65 to 127 gray images is generated by applying linear interpolation to luminance correction data of 64 gray images and 128 luminance images. The method of claim 3,
The luminance correction data of 129 gray to (191) gray image is generated by applying a linear interpolation method to the luminance correction data of 128 gray images and the 192 luminance image of 192 gray images. The method of claim 3,
And luminance correction data of 193 to 255 gray images is generated by applying linear interpolation to the luminance correction data of 192 gray images. Generating first reference correction data for correcting luminance distortion of the first reference gray image by capturing a first gray image displayed on a screen;
Generating second reference correction data for correcting luminance distortion of the second reference gray image by capturing a second gray image;
Calculating a gamma curve of the third reference gray image and the fourth reference gray image based on the first reference correction data and the second reference correction data;
Generating third reference correction data for correcting luminance distortion of the third reference gray image based on a gamma curve of the third reference gray image; And
And generating fourth reference correction data for correcting luminance distortion of the fourth reference gray image based on the gamma curve of the fourth reference gray image. 10. The method of claim 9,
The luminance correction data for correcting the luminance distortion of the first to fourth reference gray images by using the deviation of the gamma curve without luminance distortion of the first to fourth reference gray images and the gamma curve with the luminance distortion And generating the luminance correction data. 10. The method of claim 9,
And generates the brightness correction data of 0 to 255 gray based on the first reference correction data to the fourth reference correction data.

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