WO2019235695A1

WO2019235695A1 - Image data processing method and apparatus

Info

Publication number: WO2019235695A1
Application number: PCT/KR2018/011697
Authority: WO
Inventors: 이승원
Original assignee: 주식회사 트라이시스
Priority date: 2018-06-08
Filing date: 2018-10-02
Publication date: 2019-12-12
Also published as: KR101945225B1

Abstract

The present application relates to an image data processing method and apparatus for correcting an output value of a display. Disclosed is an image data processing apparatus for obtaining a first image capturing value and a second image capturing value output by pixels to which an input value corresponding to a preset gray value has been applied, and on the basis of the obtained values, determining a first correction value and a second correction value to be used for correcting the input value.

Description

Image data processing method and device

In the present disclosure, a method and apparatus for processing image data are disclosed.

The display displays information through a screen and is widely used in various devices such as home appliances, smart phones, and monitors. Displays offer a wide range of applications in that they provide information through images, and the resolution of actual products continues to increase.

In particular, as the demand for mobile communication terminals such as mobile phones and PDAs continues to spread in recent years, the display market mounted on the mobile communication terminals is exponentially expanding.

However, due to the high probability of the occurrence of physical defects in the manufacturing process of the display, various techniques have been developed to mitigate or eliminate physical defects in software.

The present disclosure can provide a method and apparatus for processing image data. Specifically, a method and apparatus for determining a correction value for correcting an output value is disclosed. The technical problem to be solved is not limited to the technical problems as described above, and various technical problems may be further included within the scope apparent to those skilled in the art.

An image data processing apparatus according to a first aspect of the present disclosure includes an imaging device for imaging pixels; And receiving from the imaging apparatus a first captured image obtained by capturing a first output value output by the pixels to which an input value corresponding to a preset gray value is applied, and receiving a reference value corresponding to the preset gray value and the first image. A first correction value used to correct the input value based on the captured image value, and a second output value obtained by capturing a second output value outputted by the pixels to which the correction input value according to the first correction value is applied; And a processor configured to receive an image value from the image pickup device and determine a second correction value used to correct the correction input value based on the reference value and the second image value.

The processor may recalibrate the correction input value according to the second correction value to obtain a recalibration input value.

The display device may further include a display configured to display the first output value and the second output value and include the pixels.

Further, the processor corrects the input value according to the first correction value to determine the correction input value, sends the correction input value to the display, and the display applies the correction input value to the pixels. The second output value can be output.

The processor may determine the correction input value by correcting the input value according to the first correction value, and when the correction input value includes a fractional part, a correction root (LUT) value corresponding to the pixels. The second output value may be determined by performing rounding up or down on the fractional part, and applying the updated correction input value to the pixels according to a result of the rounding up or down.

Further, the processor sends the first correction value to the display, the display stores the first correction value, corrects the input value according to the first correction value to determine the correction input value, The second output value may be output by applying the correction input value to the pixels.

In addition, the processor may determine the first correction value for each block composed of the pixels.

The maximum value of the first output value may be greater than the maximum value of the second output value, and the minimum value of the first output value may be smaller than the minimum value of the second output value.

The difference value between the average value of the first output value and the reference value may be greater than the difference value between the average value of the second output value and the reference value.

The image data processing method according to the second aspect of the present disclosure includes the steps of: capturing a first output value output by pixels to which an input value corresponding to a preset gray value is applied; Determining a first correction value used to correct the input value based on a reference value corresponding to the preset gray value and the first captured value;

Capturing a second output value output by the pixels to which the correction input value according to the first correction value is applied to obtain a second captured value; And determining a second correction value used to correct the correction input value based on the reference value and the second captured value.

The method may further include recalibrating the correction input value according to the second correction value to obtain a recalibration input value.

A third aspect of the present disclosure may provide a computer program stored on a recording medium for implementing the method according to the second aspect. Alternatively, a fourth aspect of the present disclosure may provide a computer readable recording medium having recorded thereon a program for executing a method according to the second aspect on a computer.

1 is a conceptual diagram illustrating an operation of an image data processing apparatus according to an exemplary embodiment.

2 is a block diagram illustrating an example of a configuration of an image data processing apparatus according to an exemplary embodiment.

3 is a diagram illustrating an example in which an image data processing apparatus performs correction on a first output value indicated by a 1-1 graph.

4 is a diagram illustrating an example in which an image data processing apparatus performs correction on a second output value indicated by a 2-1 graph.

FIG. 5 is a diagram illustrating an example in which an image data processing apparatus performs correction on a first output value indicated by a 3-1 graph.

FIG. 6 is a diagram illustrating an example in which an image data processing apparatus performs correction on a second output value indicated by a 4-1 graph.

7 is a diagram illustrating an example in which an image data processing apparatus performs correction on pixels adjacent in a horizontal direction.

8 is a diagram illustrating an example in which an image data processing apparatus performs correction on pixels adjacent in a vertical direction.

9 is a diagram illustrating an example in which an image data processing apparatus performs correction on pixels adjacent in a diagonal direction.

10 is a diagram illustrating an example in which an image data processing apparatus performs correction on blocks.

11 is a diagram illustrating an example of determining, by an image data processing apparatus, a first correction value and a second correction value.

The terminology used in the embodiments is a general term that has been widely used as much as possible in consideration of the functions of the present invention, but may vary according to the intention or precedent of a person skilled in the art, the emergence of new technology, and the like. In addition, in certain cases, there is also a term arbitrarily selected by the applicant, in which case the meaning will be described in detail in the description of the invention. Therefore, the terms used in the present invention should be defined based on the meanings of the terms and the contents throughout the present invention, rather than the names of the simple terms.

When a part of the specification is said to "include" any component, this means that it may further include other components, except to exclude other components unless otherwise stated. In addition, the “…” described in the specification. Wealth ”,“… Module ”means a unit for processing at least one function or operation, which may be implemented in hardware or software, or a combination of hardware and software.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention.

Hereinafter, with reference to the drawings will be described embodiments of the present invention;

1 is a conceptual diagram illustrating an operation of an image data processing apparatus 100 according to an exemplary embodiment.

The imaging apparatus 20 according to an exemplary embodiment may acquire an output value (eg, a luminance value) of pixels or blocks included in the display 10 through imaging.

Since the imaging apparatus 20 according to an embodiment acquires an output value of pixels or blocks included in the display 10 by imaging the display 10, an output value outputted by pixels included in the display 10 may be output. The imaging values (eg, luminance values) obtained by the imaging apparatus 20 through imaging may not be the same. For example, when the adjacent first, second, and third pixels included in the display 10 output luminance values of 100, 30, and 100, respectively, the imaging device 20 may cause an interference of light. Luminance values of 90, 40, and 90 may be obtained by imaging with respect to the first pixel, the second pixel, and the third pixel. Therefore, due to physical limitations, the imaging device 20 may not completely obtain the output values of the pixels or blocks included in the display 10, and the output value of the pixels or blocks included in the display 10 and the imaging device ( The imaging values obtained by imaging 20 may not be the same.

The image data processing apparatus 100 according to an exemplary embodiment may obtain an output value of pixels or blocks included in the display 10 from the imaging apparatus 20. The output value may include various values that may be obtained (eg, measured or received) from a pixel or a block, such as a luminance value, a red component value, a green component value, and a blue component value. In addition, since the block is composed of pixels, an embodiment of obtaining an output value of the blocks may be an example of an embodiment of obtaining an output value of the pixels. Therefore, even if there is no description of the block, the operation performed on the pixel may be applied to the block in the same manner. For example, the input value, the correction input value, the recalibration input value, the reference value, the first output value, the first image pickup value, the first correction value, the second output value, the second image pickup value, the second correction value, and the like are in block units. Can also be determined.

When an input value corresponding to a preset gray value is applied to the display 10, the display 10 may display an image corresponding to the input value. For example, in an ideal case, when the same input value (eg, voltage value, current value, etc.) is applied to the pixels included in the display 10, the pixels included in the display 10 may have the same output value (eg, luminance). Value). However, different output values may be output even when the same input value is applied depending on the physical difference between the pixels included in the display 10.

The image data processing apparatus 100 may acquire luminance values of pixels included in the display 10. For example, the image data processing apparatus 100 may receive luminance values of pixels included in the display 10 from the imaging apparatus 20. As another example, when the image data processing apparatus 100 includes the imaging device 20, the image data processing apparatus 100 may acquire luminance values of pixels included in the display 10 through photographing. As shown in FIG. 1, the image data processing apparatus 100 may operate in a separate configuration from the image capturing apparatus 20. However, unlike the image data processing apparatus 100, the image data processing apparatus 100 may be applied to the image capturing apparatus 20. May be included in one configuration.

When the image data processing apparatus 100 obtains luminance values of pixels included in the display 10, an input value corresponding to a preset gray value may be applied to the pixels included in the display 10. For example, an input value (eg, a voltage value or a current value) corresponding to the first gray value among the gray values of 0 to n (eg, 0 to 255) may be applied to the pixels included in the display 10. Can be. In this case, the pixels included in the display 10 may output an output value (eg, a luminance value) corresponding to the first gray value. Therefore, the image data processing apparatus 100 may obtain luminance values of pixels to which an input value corresponding to the first gray value is applied. In this case, the image data processing apparatus 100 may determine the reference luminance value used to correct the output values of the pixels using the obtained luminance value, and the determined reference luminance value may be a reference luminance value with respect to the first gray value. The image data processing apparatus 100 may match the reference luminance value with the first gray value. For example, when outputting a reference brightness value, data indicating that the first gray value is output may be output together. The image data processing apparatus 100 may receive the first gray value from the display 10 or may receive the first gray value from an intermediate display (not shown). Alternatively, the image data processing apparatus 100 may transmit the first gray value to the display 10.

However, when a first input value, which is an input value corresponding to the first gray value, is applied to the pixel, an output value corresponding to the first gray value may not be output. For example, although the output value corresponding to the first gray value is a reference value (for example, a luminance value as a reference), the pixel to which the first input value is applied may output a first luminance value different from the reference value. In this case, the image data processing apparatus 100 corrects the first input value to the second input value and applies the second input value to the pixel in order to output the reference value based on the difference between the first luminance value and the reference value. A second luminance value that is an output value of the applied pixel may be obtained. However, the second luminance value may also not be the same as the reference value. Accordingly, the image data processing apparatus 100 is closer to the reference value than the second luminance value by recalibrating and applying the second input value to the third input value to output the reference value based on the difference between the second luminance value and the reference value. A third luminance value can be obtained from the pixel.

The display 10 disclosed in FIG. 1 may broadly mean an image data processing apparatus that displays an image. For example, the display 10 may be included in a smart phone, personal digital assistant (PDA), notebook, tablet PC, e-book, portable multimedia player (PMP), netbook, monitor, and the like. As another example, the display 10 may be a liquid crystal display, a thin film transistor-liquid crystal display, an organic light-emitting diode, a flexible display, or a three-dimensional display. 3D display, electrophoretic display, or the like.

2 is a block diagram illustrating an example of a configuration of an image data processing apparatus 100 according to an exemplary embodiment.

As illustrated in FIG. 2, the image data processing apparatus 100 may include an imaging device 20 and a processor 120.

However, it will be understood by those skilled in the art that other general-purpose components other than the components shown in FIG. 2 may be further included in the image data processing apparatus 100. For example, the image data processing apparatus 100 may further include a memory 130. Or according to another embodiment, it will be understood by those skilled in the art that some of the components shown in FIG. 2 may be omitted.

The imaging device 20 according to an exemplary embodiment may acquire output values of pixels or blocks through imaging. The output value may include various values that may be obtained (eg, measured, received, photographed) from a pixel or a block, such as a luminance value, a red component value, a green component value, and a blue component value. In addition, since the block is composed of pixels, an embodiment of obtaining an output value of the blocks may be an example of an embodiment of obtaining an output value of the pixels.

The receiver 110 according to an embodiment may receive luminance values of pixels to which an input value corresponding to a preset gray value is applied. The imaging device 20 according to an exemplary embodiment may be implemented as a device capable of photographing, such as a camera, or may be implemented in a configuration of simply receiving data, such as a module.

When the imaging apparatus 20 acquires luminance values of pixels included in the display 10, an input value corresponding to a preset gray value may be applied to the pixels included in the display 10. For example, a voltage value or a current value corresponding to the second gray value among gray values of 0 to n (eg, 0 to 1024) may be applied to the pixels included in the display 10. In this case, the pixels included in the display 10 may output a luminance value corresponding to the second gray value. Accordingly, the imaging apparatus 20 may acquire luminance values of pixels to which an input value corresponding to the second gray value is applied. In this case, the processor 120 may determine the reference luminance value used to correct the output value of the pixels using the obtained luminance value, and the determined reference luminance value may be a reference luminance value with respect to the second gray value.

The processor 120 according to an embodiment may match the reference luminance value with the second gray value. For example, when the reference luminance value is output, data indicating that the reference gray value is the second gray value may be output together. The processor 120 may receive a second gray value from the display 10 or may receive a second gray value from an intermediate display (not shown). Alternatively, the processor 120 may transmit a second gray value to the display 10.

The processor 120 according to an embodiment may receive from the imaging apparatus 20 a first captured image obtained by capturing a first output value output by pixels or blocks to which an input value corresponding to a preset gray value is applied. Can be. As described above, due to physical limitations such as interference of light, the first output value and the first imaging value may not be the same. An imaging value such as a first imaging value may be obtained through a module (eg, an image sensor) included in the imaging apparatus 20. For example, the imaging device 20 may acquire an imaging value by using a charge coupled device (CCD), a metal oxide semi-conductor (MOS), a CPD, a CID, or the like.

The processor 120 may determine a first correction value used to correct the first output value through correction of an input value based on a reference value corresponding to a preset gray value and a first captured value. The luminance value may be an example of a reference value. When the reference value is a luminance value, the reference luminance value may mean a luminance value as a reference.

In some cases, the reference value may represent a luminance value predicted corresponding to a preset gray value. For example, when an input value corresponding to a preset gray value is 1 [V], an ideal output value of a pixel to which 1 [V] is applied may be s [nit] (nit is a unit of luminance). In this case, s [nit] may be a reference value for a preset gray value.

The processor 120 may determine the first correction value based on the reference value corresponding to the preset Greer value and the first image pickup value. The first correction value may be used to correct the input value.

The correction value may be a value used for correction of the input value. For example, when the input value is x, the input value may be corrected to the value indicated by a * x + b. In this case, a and b may be correction values. The correction value may be of various types depending on the correction method. For example, when the correction is performed based on the linear function as described above, the correction value may include a gain and an offset value indicating the slope and intercept of the linear function. As another example, when the correction is performed based on the quadratic function, the correction value may include three coefficient values representing the coefficients of the quadratic function. As another example, when the correction is performed based on the n-th order function, the correction value may include n + 1 coefficient values representing the coefficients of the n-th order function.

The processor 120 may determine a correction function indicating a relationship between the pre-correction input value and the post-correction input value, and determine the post-correction input value by applying the pre-correction input value to the determined correction function. The correction function may be determined through two or more samplings, and may be an n-th order function as described above, but is not limited thereto.

The correction value may be determined based on the difference between the reference value corresponding to the preset gray value and the first imaging value. The image data processing apparatus 100 may correct an input value to be applied to a pixel in order to output a reference value from the pixel.

The image data processing apparatus 100 determines an input value (eg, a voltage value and / or a current value applied to a pixel) to be applied in order for the first image value to be output as a reference value, and corrects necessary to correct the input value. The value can be determined. For example, when the luminance value output from the display 10 is the first value and the reference value is the second value, corresponding to the input value of 1 [V] before correction, the input value required for outputting the second value is determined. do. If the input value required to output the second value is 2 [V], the correction value used to correct the input value of 1 [V] to the input value of 2 [V] is determined. Here, 2 [V] may mean a correction input value. For example, the image data processing apparatus 100 may determine a relationship between a pre-correction input value and a post-correction input value in the form of a function, and determine a correction value to correct the input value according to the determined function. In addition, the image data processing apparatus 100 may transmit the determined correction value to the display 10, and the display 10 may store the correction value. The display 10 may output the luminance value corresponding to the correction input value by correcting and applying the input value using the stored correction value. The correction input value may mean an input value after correction.

The processor 120 according to an embodiment may receive from the imaging apparatus a second captured value obtained by capturing a second output value output by pixels to which a correction input value according to the first correction value is applied. The image obtaining apparatus 20 obtains an output value (eg, a luminance value) from the display 10 by referring to the above description.

In addition, the processor 120 according to an embodiment may determine the correction input value by correcting the input value according to the first correction value. As described above, the processor 120 may determine a correction function indicating a relationship between the pre-correction input value and the post-correction input value, and determine the post-correction input value by applying the pre-correction input value to the determined correction function. The correction function may be determined through two or more samplings, and may be an n-th order function as described above, but is not limited thereto. The processor 120 may determine the correction input value by applying an input value before correction to the correction function.

The processor 120 according to an embodiment may determine a second correction value used to correct the correction input value based on the reference value and the second captured value. The reference value may correspond to the preset gray. The processor 120 may perform correction of the second output value by performing correction of the correction input value.

The processor 120 may determine the second correction value based on the reference value and the second captured value in the above-described manner of determining the first correction value based on the reference value and the first captured value.

The second imaging value may be closer to the reference value than the first imaging value. For example, when the first imaging value is 30 and the reference value is 50, the second imaging value may be a value between 30 and 50 (for example, 40).

The processor 120 according to an embodiment may obtain a recalibration input value by recalibrating a correction input value corresponding to a preset gray value according to the second correction value.

The processor 120 may determine the recalibration input value according to the second correction value in the above-described manner of determining the correction input value according to the reference value and the first correction value.

In detail, the processor 120 according to an embodiment may determine the recalibration input value by correcting the correction input value according to the second correction value. As described above, the processor 120 determines the correction function indicating the relationship between the correction input value and the recalibration input value through two or more samplings, and applies the correction input value to the determined correction function to obtain the recalibration input value. You can decide. The correction function may be determined through two or more samplings, and may be an n-th order function as described above, but is not limited thereto. The processor 120 may determine the recalibration input value by applying a correction input value to the correction function.

Correcting the input value based on the correction value may be performed by the processor 120 or may be performed by the display 10.

Specifically, the processor 120 according to an embodiment corrects the input value based on the first correction value to determine the correction input value, and the processor 120 transmits the correction input value to the display 10, and displays the display. The correction input value received by 10 may be applied to the pixels to output a second output value (for example, a luminance value) output by the pixels. In addition, the imaging device 20 acquires a second captured value for the second output value through imaging, and the processor 120 uses a second corrected value used for correcting the correction input value based on the reference value and the second captured value. May be determined, and the recalibration input value may be determined by correcting the correction input value based on the second correction value. In the present embodiment, since the processor 120 determines the correction input value using the first correction value and determines the recalibration input value using the second correction value, data is actually displayed on the display 10. The process of recording can be omitted. Therefore, since the operation performed in the display 10 (the operation of determining the correction input value or the recalibration input value) is actually performed in the processor 120, it can be regarded as a kind of simulation operation.

Alternatively, the processor 120 according to an embodiment may determine a first correction value used to correct an input value based on the reference value and the first captured value, and transmit the first correction value to the display 10. In this case, the display 10 corrects an input value based on the received first correction value to determine a correction input value, and applies the determined correction input value to the pixels to output a second output value (for example, luminance). Value). In addition, the imaging device 20 acquires a second captured value for the second output value through imaging, and the processor 120 uses a second corrected value used for correcting the correction input value based on the reference value and the second captured value. Can be determined and sent to the display 10. The display 10 corrects the correction input value based on the second correction value to determine the recalibration input value, and applies the recalibration input value to the pixels to output a third output value (eg, luminance value) outputted by the pixels. You can print The third output value may be closer to the reference value on average than the first output value or the second output value as a result of performing the second correction. In the present embodiment, the first correction value or the second correction value is recorded in a memory included in the display 10, and the display 10 corrects the input value to the correction input value by using the first correction value, and the second correction value. The correction value can be used to correct the correction input value to the recalibration input value. In addition, the display 10 may apply a correction input value to the pixels to output the second output value, and apply the recalibration input value to the pixels to output the third output value.

The processor 120 or the display 10 may use a look up table (LUT) when determining an output value according to an input value.

For example, when the correction input value is a decimal number, the processor 120 or the display 10 applies the pixels to the second output value by performing rounding up or down on the decimal part based on the correction LUT value corresponding to the pixels. Can be determined.

For example, when the correction input value for the first pixel is 25.6, the fractional part is 0.6, and the result of applying 0.6 to the first equation is compared with the LUT value for the first pixel determined according to the second equation. You can update the input to 25.0 or 26.0. For example, when the result of applying 0.6 to the first equation is 2.4 (eg, 0.6 * 4 = 2.4) and the LUT value for the first pixel determined according to the second equation is 0, the processor 120 or The display 10 may update the correction input value to 26.0 and apply it to the first pixel.

As another example, when the correction input value for the first pixel is 25.5, the fractional part is 0.5, and the correction is performed by comparing the result value of applying 0.5 to the first equation and the LUT value for the first pixel determined according to the second equation. You can update the input to 25.0 or 26.0. For example, when the result of applying 0.5 to the first equation is 2.0 (eg, 0.5 * 4 = 2.0) and the LUT values for the first pixel determined according to the second equation are equal to 2, the processor 120 Alternatively, the display 10 may update the correction input value to 25.0 and apply it to the first pixel.

This embodiment is equally applicable to the case of updating the recalibration input value.

In addition, the LUT value may be determined according to the second equation and the position (eg, upper left, upper right, lower left, lower right, etc.) on the block of the pixel.

In addition, the present embodiment in which the first output value, the second output value, and the third output value are determined by updating an input value, a corrected input value, and a recalibrated input value using the LUT and applying the same to the pixels may include output values from the input values. All of the embodiments can be applied.

In performing the above-described operation, the display 10 and the image data processing apparatus 100 may each include a memory.

The term "memory" should be interpreted broadly to include any electronic component capable of storing electronic information. The term memory refers to random access memory (RAM), read-only memory (ROM), non-volatile random access memory (NVRAM), programmable read-only memory (PROM), erase-programmable read-only memory (EPROM), electrical And may refer to various types of processor-readable media, such as erasable PROM (EEPROM), flash memory, magnetic or optical data storage, registers, and the like. If the processor can read information from and / or write information to the memory, the memory may be in electronic communication with the processor. The memory integrated in the processor is in electronic communication with the processor.

3 is a diagram for describing an example in which the image data processing apparatus 100 performs correction on a first output value. 3 to 6 only illustrate an example in which the image data processing apparatus 100 operates according to an exemplary embodiment, and are not limited thereto.

According to one embodiment, the vertical axis in Figures 3 to 6 may represent a luminance value. 3 to 6, the horizontal axis may indicate a change in position of adjacent pixels or blocks. For example, the horizontal axis may indicate a change in position in the horizontal direction, a change in position in the vertical direction, a change in position in the diagonal direction, and a change in position according to a predetermined line (including a curve) on the display 10. Changing the value of the horizontal axis may mean that a position of a pixel or a block changes in an adjacent direction.

The first-first graph 310 may indicate a first output value, the second-second graph 320 may indicate a first imaging value, and the second-first graph 330 may indicate a second output value. In this case, the reference value 300 may be predetermined. Alternatively, the reference value 300 may be determined by the image data processing apparatus 100 through low pass filter (LPF) filtering on the first-1 graph 310.

Since the imaging apparatus 20 according to an embodiment acquires an output value of pixels or blocks included in the display 10 by imaging the display 10, an output value outputted by pixels included in the display 10 may be output. The imaging values (eg, luminance values) obtained by the imaging apparatus 20 through imaging may not be the same. Therefore, according to an exemplary embodiment, the first-first graph 310 may be different from the second-first graph 320. In particular, when the first-first graph 310 is sharply bent, the first-second graph 320 may have a somewhat different shape from the first-first graph 310 due to the interference effect of light.

Substantially, since the first output value output by the display 10 is the first-first graph 310, the first captured value obtained by the image processing apparatus 100 is displayed as the second-first graph 320. As a result of performing the correction based on the first image pickup value, the second output value output by the display 10 may appear as the 2-1 graph 330.

4 is a diagram for describing an example in which the image data processing apparatus 100 performs correction on a second output value.

The 2-1 graph 330 may represent the second output value, and the 2-2 graph 410 may represent the third output value.

Since the 2-1 graph 330 representing the second output value has almost no point where the value changes abruptly unlike the 1-1 graph 310 of FIG. 3, the image data processing apparatus 100 may use the 2-1 graph. Similar to the graph 330, the second captured image may be acquired. When the image data processing apparatus 100 acquires the second captured value equally to the second output value, the image data processing apparatus 100 corresponds to the reference value 300 because the image data processing apparatus 100 correctly obtained the information on the second output value. The recalibration correction value for outputting the third output value can be determined. In this case, the display 10 may output the second-2 graph 410 corresponding to the reference value 300 as the third output value according to the recalibration correction value. However, FIG. 4 illustrates a somewhat ideal case, and in reality, it may be difficult to perform ideal correction as in FIG. 4. However, even in actual cases, the average value of the third output value may be closer to the reference value 300 than the average value of the second output value.

FIG. 5 is a diagram for describing an example in which an image data processing apparatus performs correction on a first output value indicated by a 3-1 graph 510, according to an exemplary embodiment.

The 3-1 graph 510 may represent a first output value, the 3-2 graph 520 may represent a first imaging value, and the 4-1 graph 530 may represent a second output value. The reference value 500 may be predetermined. Alternatively, the reference value 500 may be determined by the image data processing apparatus 100 through low pass filter (LPF) filtering on the 3-1 graph 510.

A method of obtaining a second output value by performing correction from the first output value may refer to FIG. 3 described above.

In addition, referring to FIG. 5, the maximum value 511 and the minimum value 512 of the first output value may be checked in the 3-1 graph 510, and the maximum of the second output value in the 4-1 graph 530. The value 531 and the minimum value 532 can be checked.

As can be seen in FIG. 5, the maximum value 511 of the first output value is greater than the maximum value 531 of the second output value, and the minimum value 512 of the first output value is smaller than the minimum value 532 of the second output value. Can be.

As can be seen in FIG. 5, the difference between the average value of the first output value and the reference value 500 may be greater than the difference between the average value of the second output value and the reference value 500.

FIG. 6 is a diagram for describing an example in which an image data processing apparatus performs correction on a second output value indicated by a 4-1 graph 530.

The 4-1 graph 530 may represent the second output value, and the 4-2 graph 610 may represent the third output value.

Since the 4-1 graph 530 representing the second output value has almost no point where the value changes abruptly unlike the 3-1 graph 510 of FIG. 5, the image data processing apparatus 100 performs the 4-1 graph. Similar to the graph 530, the second captured image may be obtained. When the image data processing apparatus 100 obtains the second captured value equally to the second output value, the image data processing apparatus 100 corresponds to the reference value 500 because the image data processing apparatus 100 correctly acquires information on the second output value. The recalibration correction value for outputting the third output value can be determined. In this case, the display 10 may output the 4-2 graph 610 corresponding to the reference value 500 as the third output value according to the recalibration correction value. However, FIG. 6 illustrates a somewhat ideal case, and in reality, it may be difficult to perform ideal correction as in FIG. 5. However, even in actual cases, the average value of the third output value may be closer to the reference value 500 than the average value of the second output value.

FIG. 7 illustrates an example in which the image data processing apparatus 100 performs correction on pixels adjacent in a horizontal direction, and FIG. 8 illustrates an image data processing apparatus 100 according to an embodiment in a vertical direction. For example, FIG. 9 illustrates an example in which the image data processing apparatus 100 performs correction on diagonally adjacent pixels. Referring to FIG.

As described above with reference to FIGS. 3 to 6, the horizontal axis in FIG. 3 to 6 may represent a change in position of adjacent pixels or blocks. When the output value changes abruptly according to a change in the position of an adjacent pixel or block, the correction input value and the recalibration input value are obtained according to the present disclosure, and the obtained correction input value and the recalibration input value are inputted to the pixels to obtain the output value. By correcting, the output value for the preset gray can be corrected.

For example, FIG. 7 may represent a case in which the horizontal axis in FIGS. 3 to 6 represents the horizontal direction 720. In this case, the correction input value and the recalibration input value may be determined for the pixels 710 corresponding to the horizontal direction 720, and the output value may be corrected by applying the recalibration input value to the pixels 710.

As another example, FIG. 8 may represent a case in which the horizontal axis in FIGS. 3 to 6 represents the vertical direction 820. In this case, the correction input value and the recalibration input value are determined for the pixels 810 corresponding to the vertical direction 820, and the output value may be corrected by applying the recalibration input value to the pixels 810.

As another example, FIG. 9 may represent a case in which the horizontal axis in FIGS. 3 to 6 represents the diagonal direction 920. In this case, the correction input value and the recalibration input value are determined for the pixels 910 corresponding to the diagonal direction 920, and the output value may be corrected by applying the recalibration input value to the pixels 910.

10 is a diagram illustrating an example in which the image data processing apparatus 100 performs correction on blocks 1010.

As described above with reference to FIGS. 3 to 6, the horizontal axis in FIG. 3 to 6 may represent a change in position of adjacent blocks. When the output value changes abruptly with a change in the position of an adjacent block, the correction input value and the recalibration input value are obtained according to the present disclosure, and the obtained correction input value and the recalibration input value are inputted to the pixels to correct the output value. The output value of the preset gray can be corrected.

For example, FIG. 10 may represent a case in which the horizontal axis in FIGS. 3 to 6 indicates the horizontal direction 1020. In this case, the correction input value and the recalibration input value may be determined for the blocks 1010 corresponding to the horizontal direction 1020, and the output value may be corrected by applying the recalibration input value to the blocks 1010.

Each of the first block 1011 to the sixth block 1016 included in the blocks 1010 may have a block value. The block value may indicate a value determined by the pixels included in the block. For example, the block value may be a sum of luminance values of pixels included in the block. For example, the sum or average of pixel values of the first pixel 1031, the second pixel 1032, the third pixel 1033, and the fourth pixel 1034 may be a block value of the first block 1011. As another example, the block value may be an average of luminance values of pixels included in the block. In addition, the block value may be a result obtained by applying luminance values of pixels to a predetermined equation and the like, and are not limited to a specific equation.

In addition, according to an embodiment, the block value may be applied in the concept corresponding to the pixel value described above with reference to FIGS. 1 to 9.

11 is a diagram illustrating an example of determining, by the image data processing apparatus 100, a first correction value and a second correction value.

FIG. 11 is an example of an operation of the image data processing apparatus 100 described above with reference to FIGS. 1 through 10 over time, and reference may be made to the contents described with reference to FIGS. 1 through 10.

In operation S1110, the image data processing apparatus 100 may acquire a first captured value by capturing a first output value output by pixels to which an input value corresponding to a preset gray value is applied. The first output value may represent a luminance value, and the first output value and the first imaging value may not be the same because of physical limitations of imaging.

In operation S1120, the image data processing apparatus 100 may determine a first correction value used to correct an input value, based on a reference value corresponding to a preset gray value and a first captured value. The first correction value may be a value used to correct the input value, and as a result, the first output value may be corrected as the input value is corrected.

In operation S1130, the image data processing apparatus 100 may obtain a second captured image by capturing a second output value output by pixels to which the corrected input value according to the first corrected value is applied. The input value may be corrected to the corrected input value according to the first correction value, and the first output value may be corrected to the second output value as the correction input value is applied to the pixels.

In operation S1140, the image data processing apparatus 100 may determine a second correction value used to correct the correction input value based on the reference value and the second captured value. The second correction value may be a value used for recalibration of the correction input value, and as a result, the second output value may be corrected as the correction input value is recalibrated.

In operation S1150, the image data processing apparatus 100 may recalibrate the correction input value according to the second correction value to obtain the recalibration input value. By applying the recalibration input value to the pixels, the second output value can be corrected to the third output value.

In FIG. 11, the image corresponding to the preset gray is described. Therefore, the second output value may be closer to the reference value than the first output value, and the third output value may be closer to the reference value than the second output value. Further, even when there is a sudden change in the luminance value according to the position change of the pixel or the block in the first output value, such a sudden change in the luminance value is reduced in the third output value.

On the other hand, the above-described method can be written as a program that can be executed in a computer, it can be implemented in a general-purpose digital computer to operate the program using a computer-readable recording medium. In addition, the structure of the data used in the above-described method can be recorded on the computer-readable recording medium through various means. The computer-readable recording medium may include a storage medium such as a magnetic storage medium (eg, ROM, RAM, USB, floppy disk, hard disk, etc.), an optical reading medium (eg, CD-ROM, DVD, etc.). do.

Those skilled in the art will appreciate that the present invention may be embodied in a modified form without departing from the essential characteristics of the above-described substrate. Therefore, the disclosed methods should be considered in descriptive sense only and not for purposes of limitation. The scope of the present invention is shown in the claims rather than the foregoing description, and all differences within the scope will be construed as being included in the present invention.

Claims

An imaging device for imaging the pixels; And

Receiving a first captured image obtained by capturing a first output value outputted by the pixels to which an input value corresponding to a preset gray value is applied, from the imaging device,

Determine a first correction value used to correct the input value based on a reference value corresponding to the preset gray value and the first captured value;

Receiving a second captured image obtained by capturing a second output value output by the pixels to which the correction input value according to the first correction value is applied, from the imaging device,

And a processor for determining a second correction value used for correction of the correction input value based on the reference value and the second captured image value.
The method of claim 1,

The processor is

And recalibrate the correction input value according to the second correction value to obtain a recalibration input value.
The method of claim 1,

And a display for displaying the first output value and the second output value and including the pixels.
The method of claim 3, wherein

The processor is

Correcting the input value according to the first correction value to determine the correction input value, and transmitting the correction input value to the display,

And the display applies the correction input value to the pixels to output the second output value.
The method of claim 3, wherein

The processor is

Correcting the input value according to the first correction value to determine the correction input value,

If the correction input value includes a fractional part, the fractional part is rounded up or down based on a correction root (LUT) value corresponding to the pixels,

And apply the updated correction input value to the pixels according to a result of performing the raising or lowering to determine the second output value.
The method of claim 3, wherein

The processor sends the first correction value to the display,

The display stores the first correction value, corrects the input value according to the first correction value to determine the correction input value, and applies the correction input value to the pixels to output the second output value. Image data processing device.
The method of claim 1,

The processor is

And determine the first correction value for each of the blocks consisting of the pixels.
The method of claim 1,

And the maximum value of the first output value is greater than the maximum value of the second output value, and the minimum value of the first output value is less than the minimum value of the second output value.
The method of claim 1,

And a difference value between the average value of the first output value and the reference value is greater than a difference value between the average value of the second output value and the reference value.
Capturing a first output value outputted by pixels to which an input value corresponding to a preset gray value is applied to obtain a first captured value;

Determining a first correction value used to correct the input value based on a reference value corresponding to the preset gray value and the first captured value;

Capturing a second output value output by the pixels to which the correction input value according to the first correction value is applied to obtain a second captured value; And

And determining a second correction value used to correct the correction input value based on the reference value and the second captured value.
The method of claim 10,

And re-calibrating the correction input value according to the second correction value to obtain a recalibration input value.
A computer program stored on a record carrier for implementing the method of claim 10.