KR101945225B1 - Method and apparatus for processing image data - Google Patents

Abstract

According to an embodiment of the present invention, disclosed is an apparatus for processing image data which comprises: an imaging device for imaging pixels; and a processor for obtaining first and second imaging values for pixels to which an input value corresponding to a preset gray value is applied, so as to determine first and second correction values.

Description

[0001] The present invention relates to a method and an apparatus for processing image data,

The present disclosure is directed to a method and apparatus for processing image data.

Display is widely used in various devices such as home appliances, smart phones, and monitors by displaying information on the screen. The display is very broad in terms of providing information through images, and the resolution realized by actual products is also continuously increasing.

Particularly, in recent years, as the demand of mobile communication terminals such as mobile phones and PDAs continues to spread, the display market installed in the mobile communication terminals is exponentially expanding.

However, since the probability of occurrence of a physical defect in a manufacturing process of a display is high, various techniques for mitigating or eliminating a physical defect in software are being developed.

The present disclosure can provide a method and apparatus for processing image data. A method and apparatus for determining a correction value to specifically correct an output value are disclosed. The technical problem to be solved is not limited to the technical problems described above, and various technical problems can be further included within a range that is obvious to a general technician.

According to a first aspect of the present disclosure, there is provided an image data processing apparatus comprising: an imaging device for imaging pixels; And a first output value obtained by picking up a first output value outputted by the pixels to which the input value corresponding to the predetermined gray value is applied, from the image pickup apparatus, and a reference value corresponding to the predetermined gray value, A first correction value to be used for correction of the input value is determined based on one image pickup value and a second correction value to be used for correction of the second value obtained by picking up 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 for receiving an image pickup value from the image pickup apparatus and determining a second correction value used for correction of the correction input value based on the reference value and the second picked-up value.

In addition,

And the re-correction input value can be obtained by re-adjusting the correction input value according to the second correction value.

The apparatus may further include a display for displaying the first output value and the second output value and including the pixels.

The processor also determines the correction input value by correcting the input value according to the first correction value, and transmits the correction input value to the display, and the display causes the correction input value to be applied to the pixels And output the second output value.

Also, 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 decimal portion, determining whether a correction root (LUT) value corresponding to the pixels And the second output value may be determined by applying an updated correction input value to the pixels according to a result of the up or down operation.

The processor also transmits the first correction value to the display, the display stores the first correction value, determines the correction input value by correcting the input value according to the first correction value, And apply the correction input value to the pixels to output the second output value.

In addition, the processor may determine the first correction value for each of the blocks constituted by 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 less 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.

According to a second aspect of the present invention, there is provided a method of processing image data, the method comprising: capturing a first output value output from pixels to which an input value corresponding to a preset gray value is applied to obtain a first sensed value; Determining a reference value corresponding to the predetermined gray value and a first correction value used for correction of the input value based on the first sensing value;

Capturing a second output value output from the pixels to which a correction input value according to the first correction value is applied to obtain a second image pickup value; And determining a second correction value used for correction of the correction input value based on the reference value and the second pick-up value.

The method may further include re-calibrating the correction input value according to the second correction value to obtain a re-correction 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, the fourth aspect of the present disclosure may provide a computer-readable recording medium having recorded thereon a program for causing a computer to execute the method according to the second aspect.

The present disclosure is directed to a method and apparatus for processing image data.

1 is a conceptual diagram illustrating an operation of an image data processing apparatus according to an embodiment.
2 is a block diagram showing an example of a configuration of an image data processing apparatus according to an embodiment.
FIG. 3 is a diagram for explaining an example in which an image data processing apparatus according to an embodiment performs correction for a first output value represented by a 1-1 graph.
4 is a diagram for explaining an example in which the image data processing apparatus according to the embodiment performs correction for the second output value represented by the second-1 graph.
FIG. 5 is a diagram for explaining an example in which the image data processing apparatus according to the embodiment performs correction for the first output value represented by the 3-1 curve.
6 is a diagram for explaining an example in which the image data processing apparatus according to the embodiment performs correction for the second output value represented by the 4-1 graph.
7 is a diagram showing an example in which an image data processing apparatus according to an embodiment performs correction for pixels adjacent in the horizontal direction.
8 is a diagram showing an example in which an image data processing apparatus according to an embodiment performs correction for vertically adjacent pixels.
9 is a diagram showing an example in which an image data processing apparatus according to an embodiment performs correction for pixels adjacent in a diagonal direction.
10 is a diagram showing an example in which an image data processing apparatus according to an embodiment performs correction on blocks.
11 is a diagram showing an example in which an image data processing apparatus according to an embodiment determines a first correction value and a second correction value.

Although the terms used in the embodiments have been selected in consideration of the functions in the present invention, it is possible to select general terms that are widely used at present. However, these may vary depending on the intention of the person skilled in the art or the precedent, the emergence of new technology. Also, in certain cases, there may be a term selected arbitrarily by the applicant, in which case the meaning thereof will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term, not on the name of a simple term, but on the entire contents of the present invention.

When an element is referred to as " including " an element throughout the specification, it is to be understood that the element may include other elements as well, without departing from the spirit or scope of the present invention. In addition, the term " "... Module " or the like 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, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

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

The imaging device 20 according to one embodiment can obtain an output value (e.g., a luminance value) of pixels or blocks included in the display 10 through imaging.

The imaging device 20 according to the embodiment captures the image of the display 10 and obtains output values of the pixels or blocks included in the display 10 so that the output values of the pixels included in the display 10 The image pickup values (e.g., luminance values) acquired by the image pickup device 20 through image pickup may not be the same. For example, when adjacent first pixels, second pixels, and third pixels included in the display 10 output luminance values of 100, 30, and 100, respectively, the imaging device 20 The luminance values of 90, 40 and 90 can be obtained by imaging for the first pixel, the second pixel and the third pixel. Thus, due to physical limitations, the imaging device 20 can not completely acquire the output values of the pixels or blocks contained in the display 10, and the output values of the pixels or blocks included in the display 10 and the output values of the pixels 20 may not be the same as the imaging values obtained by imaging.

The image data processing apparatus 100 according to the embodiment can obtain the output values of the pixels or blocks included in the display 10 from the imaging device 20. [ The output value may include various values that can be obtained (e.g., measured, received) from a pixel or block, such as a luminance value, a red component value, a green component value, a blue component value, Also, since a 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 about the block, the operation performed in the pixel can be applied in the same manner to the block. For example, the input value, the correction input value, the recalibration input value, the reference value, the first output value, the first imaging value, the first correction value, the second output value, the second imaging value, Can also be determined.

When an input value corresponding to a predetermined gray value is applied to the display 10, the display 10 can display an image corresponding to the input value. For example, in an ideal case, when the same input values (e.g., voltage value, current value, etc.) are applied to the pixels included in the display 10, the pixels included in the display 10 may have the same output value Value) can be output. However, even if the same input value is applied according to the physical difference between the pixels actually included in the display 10, output values different from each other can be output.

The image data processing apparatus 100 can obtain the luminance value of the pixels included in the display 10. [ For example, the image data processing apparatus 100 may receive the luminance value of the pixels included in the display 10 from the imaging device 20. [ As another example, when the image data processing apparatus 100 includes the image capturing apparatus 20, the image data processing apparatus 100 can acquire the luminance value of the pixels included in the display 10 through photographing. 1, the image data processing apparatus 100 may operate in a configuration separate from the image capturing apparatus 20, but unlike the image capturing apparatus 20 shown in Fig. 1, May be included in one configuration.

When the image data processing apparatus 100 acquires the luminance values of the pixels included in the display 10, the pixels included in the display 10 may be supplied with input values corresponding to predetermined gray values. For example, an input value (e.g., a voltage value or a current value) corresponding to the first gray value among the gray values from 0 to n (e.g., 0 to 255) is applied to the pixels included in the display 10 . In this case, the pixels included in the display 10 may output an output value (e.g., a luminance value) corresponding to the first gray value. Accordingly, the image data processing apparatus 100 can obtain the luminance value of the pixels to which the input value corresponding to the first gray value is applied. In this case, the image data processing apparatus 100 may determine a reference brightness value used for correcting the output value of pixels with the obtained brightness value, and the determined reference brightness value may be a reference brightness value for the first gray value. The image data processing apparatus 100 may match the reference brightness value with the first gray value. For example, when outputting the reference luminance value, data indicating the first gray value can be output together. The image data processing apparatus 100 may receive the first gray value from the display 10 and receive the first gray value from the intermediate display (not shown). Or 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, the first luminance value different from the reference value can be output in the pixel to which the first input value is applied, even though the output value corresponding to the first gray value is the reference value (e.g., the reference luminance value). In this case, the image data processing apparatus 100 corrects the first input value to the second input value and applies the corrected 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, It is possible to obtain a second luminance value which is an output value of the applied pixel. However, the second luminance value may also not be the same as the reference value. Therefore, the image data processing apparatus 100 can obtain the reference value more reliably by recalculating and applying the second input value to the third input value in order to output the reference value based on the difference between the second luminance value and the reference value The third luminance value can be obtained from the pixel.

The display 10 disclosed in Fig. 1 may comprehensively mean an image data processing apparatus for displaying an image. For example, the display 10 may be included in a smart phone, a personal digital assistant (PDA), a notebook, a tablet PC, an electronic book, a portable multimedia player (PMP), a netbook, 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, A display (3D display), an electrophoretic display, and the like.

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

As shown in FIG. 2, the image data processing apparatus 100 may include an image capturing apparatus 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. [ It will be understood by those skilled in the art that, in accordance with other embodiments, some of the elements shown in FIG. 2 may be omitted.

The imaging device 20 according to the embodiment can obtain the output values of the pixels or blocks through imaging. The output value may include various values that can be obtained (e.g., measured, received, photographed) from a pixel or block such as a luminance value, a red component value, a green component value, a blue component value, Also, since a 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 exemplary embodiment may receive a luminance value of pixels to which an input value corresponding to a predetermined gray value is applied. The imaging device 20 according to one embodiment may be implemented as an apparatus capable of performing photographing like a camera, or may be implemented with a configuration that simply receives data like a module.

When the imaging device 20 acquires the luminance values of the pixels included in the display 10, the pixels included in the display 10 may be supplied with an input value corresponding to a predetermined gray value. For example, a voltage value or a current value corresponding to the second gray value among the gray values from 0 to n (e.g., 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 the luminance value corresponding to the second gray value. Thus, the image pickup device 20 can obtain the luminance value of the pixels to which the input value corresponding to the second gray value is applied. In this case, the processor 120 may determine a reference luminance value used for correction of the output value of the pixels with the obtained luminance value, and the determined reference luminance value may be the reference luminance value for the second gray value.

The processor 120 according to one embodiment may match the reference brightness value with the second gray value. For example, when outputting the reference brightness value, data indicating the second gray value can be output together. Processor 120 may receive a second gray value from display 10 and a second gray value from an intermediate display (not shown). Or the processor 120 may send a second gray value to the display 10.

The processor 120 according to an embodiment receives a first image pickup value obtained by picking up a first output value outputted by pixels or blocks to which an input value corresponding to a predetermined gray value is applied from the image pickup device 20 . As described above, the first output value and the first image pickup value may not be the same due to physical limitations such as light interference. The imaging value such as the first imaging value can be acquired through a module (e.g., an image sensor) included in the imaging device 20. [ For example, the imaging device 20 can acquire an imaging value using a CCD (charge coupled device), a metal oxide semiconductor (MOS), a CPD, a CID, or the like.

The processor 120 according to the embodiment can determine the first correction value used for the correction of the first output value through the correction of the input value based on the reference value corresponding to the predetermined gray value and the first sensing value. The luminance value may be one example of the reference value. When the reference value is the luminance value, the reference luminance value may mean the reference luminance value.

In some cases, the reference value may represent a luminance value predicted corresponding to a preset gray value. For example, when the input value corresponding to the predetermined gray value is 1 [V], the ideal output value of the pixel applied with 1 [V] may be s [nit] (nit may be a unit of luminance). Here, 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 predetermined gray value and the first sensing value. The first correction value may be used for correction of 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 can be corrected to the value indicated by a * x + b. At this time, a and b may be correction values. There are several types of correction values depending on the correction method. For example, when the correction is performed based on a linear function as described above, the correction value may include a gain and an offset value indicating the slope and the slope of the linear function. As another example, when the correction is performed based on a 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 coefficient of the n-th order function.

The processor 120 may determine a correction function indicating a relation 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 sampling and may be an n-order function as described above, but is not limited.

The correction value may be determined based on the difference between the reference value corresponding to the predetermined gray value and the first sensing value. The image data processing apparatus 100 may correct an input value to be applied to the pixel so that the reference value is output from the pixel.

The image data processing apparatus 100 determines an input value (e.g., a voltage value and / or a current value to be applied to a pixel) to which a first image pickup value is to be output as a reference value, Value can be determined. For example, if the luminance value outputted from the display 10 corresponds to the first value corresponding to the input value of 1 [V] before correction and the reference value is the second value, the input value necessary for outputting the second value is determined do. When 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 2 [V] is determined. Here, 2 [V] can mean the correction input value. For example, the image data processing apparatus 100 may determine the relationship between the pre-correction input value and the post-correction input value as a function type, and determine the correction value so as to correct the input value according to the determined function. Further, 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 can output the luminance value corresponding to the correction input value by applying and correcting the input value using the stored correction value. The correction input value may mean the input value after correction.

The processor 120 according to the embodiment can receive the second image pickup value obtained by capturing the second output value outputted by the pixels to which the correction input value corresponding to the first correction value is output from the image pickup apparatus. The content of the image capturing device 20 acquiring an output value (e.g., brightness value) from the display 10 can refer to the above-described contents.

In addition, the processor 120 according to an exemplary embodiment may determine a correction input value by correcting an input value according to a first correction value. As described above, the processor 120 may determine a correction function indicating the 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 sampling and may be an n-order function as described above, but is not limited. The processor 120 may determine the correction input value by applying the input value before correction to the correction function.

The processor 120 according to one embodiment may determine a second correction value that is used to correct the correction input value based on the reference value and the second sensing value. Here, the reference value may correspond to a preset gray. The processor 120 may perform the correction of the second output value as a result of performing the correction of the correction input value.

The processor 120 may determine the second correction value based on the reference value and the second pick-up value in the manner described above that determines the first correction value based on the reference value and the first pick-up 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 (e.g., 40).

The processor 120 according to an embodiment may re-adjust the correction input value corresponding to the predetermined gray value according to the second correction value to obtain the recalibration input value.

The processor 120 may determine the recalibration input value according to the second correction value in the manner described above that determines the correction input value in accordance with the reference value and the first correction value.

In particular, the processor 120 according to an exemplary embodiment may determine a re-correction input value by correcting a correction input value according to a 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 sampling, applies the correction input value to the determined correction function, You can decide. The correction function may be determined through two or more sampling and may be an n-order function as described above, but is not limited. Processor 120 may determine a recalibration input value by applying a correction input value to the correction function.

The operation of correcting the input value based on the correction value may be performed in the processor 120, but may be performed in the display 10.

Specifically, the processor 120 according to one embodiment determines the correction input value by correcting the input value based on the first correction value, and the processor 120 transmits the correction input value to the display 10, (For example, a luminance value) outputted by the pixels by applying the correction input value received by the luminance compensation circuit 10 to the pixels. Further, the image pickup device 20 acquires a second image pickup value for the second output value through image pickup, and the processor 120 calculates a second correction value (hereinafter referred to as " second image pickup value " And determines the re-correction input value by correcting the correction input value based on the second correction value. In this embodiment, since the processor 120 determines the correction input value using the first correction value and determines the re-correction input value using the second correction value, The recording process may be omitted. Therefore, in practice, the operation performed on the display 10 (the operation of determining the correction input value or the re-correction input value) is performed in the processor 120, and thus can be regarded as a kind of simulation operation.

Alternatively, the processor 120 according to one embodiment may determine a first correction value to be used for correction of the input value based on the reference value and the first sensing value, and may transmit the first correction value to the display 10. In this case, the display 10 determines the correction input value by correcting the input value based on the received first correction value, applies the determined correction input value to the pixels, and outputs a second output value (e.g., Value) can be output. Further, the image pickup device 20 acquires a second image pickup value for the second output value through image pickup, and the processor 120 calculates a second correction value (hereinafter referred to as " second image pickup value " And transmit it to the display 10. The display 10 determines a re-correction input value by correcting the correction input value based on the second correction value, applies a re-correction input value to the pixels, and outputs a third output value (e.g., a luminance value) Can be output. 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 two times of correction. In the present embodiment, a first correction value or a second correction value is recorded in the memory included in the display 10, and the display 10 uses the first correction value to correct the input value to the correction input value, The correction input value can be corrected to the recalibration input value by using the correction value. In addition, the display 10 may output a second output value by applying a correction input value to the pixels, and output a third output value by applying the re-correction input value to the pixels.

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, if the correction input value is a prime number, the processor 120 or the display 10 may perform a rounding or downing on the fractional part based on the correction LUT value corresponding to the pixels to apply 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 obtained by applying 0.6 to the first equation is compared with the LUT value for the first pixel determined according to the second equation, The input value can be updated to 25.0 or 26.0. For example, if the result of applying 0.6 to the first equation is 2.4 (e.g., 0.6 * 4 = 2.4) and the LUT value for the first pixel determined according to the second equation is 0, then the processor 120 The display 10 can 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 result obtained by applying 0.5 to the first equation is compared with the LUT value for the first pixel determined according to the second equation, The input value can be updated to 25.0 or 26.0. For example, if the result of applying 0.5 to the first equation is 2.0 (e.g., 0.5 * 4 = 2.0), and the LUT values for the first pixel determined according to the second equation are equal to two, ) Or the display 10 can update the correction input value to 25.0 and apply it to the first pixel.

This embodiment can be applied equally to the case of updating the recalibration input value.

Further, the LUT value can be determined according to the second equation and the position (e.g., upper left, upper right, lower left, lower right, etc.) on the block of pixels.

In this embodiment, the first output value, the second output value, and the third output value are determined by updating the input value, the correction input value, and the recalibration input value using the LUT to apply to the pixels, The present invention can be applied to all of the obtained embodiments.

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 broadly interpreted to include any electronic component capable of storing electronic information. The terminology memory may be any suitable memory such as random access memory (RAM), read-only memory (ROM), non-volatile random access memory (NVRAM), programmable read-only memory (PROM), erase- May refer to various types of processor-readable media such as erasable programmable read-only memory (PROM), flash memory, magnetic or optical data storage devices, registers, and the like. If the processor is able to read information from and / or write information to memory in memory, then the memory may be said to be in electronic communication with the processor. The memory integrated in the processor is in electronic communication with the processor.

FIG. 3 is a diagram for explaining an example in which the image data processing apparatus 100 according to the embodiment performs correction for the first output value. 3 to 6 illustrate only one example of the operation of the image data processing apparatus 100 according to the embodiment, and therefore the present invention is not limited to the specific numerical values or the like.

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

The 1-1 graph 310 may represent the first output value, the 1-2 graph 320 may represent the first image pickup value, and the 2-1 graph 330 may represent the second output value. Here, 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 for the 1-1 graph 310 according to one embodiment.

The imaging device 20 according to the embodiment captures the image of the display 10 and obtains output values of the pixels or blocks included in the display 10 so that the output values of the pixels included in the display 10 The image pickup values (e.g., luminance values) acquired by the image pickup device 20 through image pickup may not be the same. Thus, according to one embodiment, the 1-1 graph 310 may be different from the 1-2 graph 320. In particular, when the first-type graph 310 is sharply bent, the first-second graph 320 may exhibit a slightly different shape from the first-type graph 310 due to the interference effect of light.

Since the first output value output from the display 10 is substantially the same as the first-first graph 310 and the first captured value obtained by the image processing apparatus 100 appears as the first-second graph 320 As a result of performing correction based on the first image pickup value, the second output value outputted by the display 10 may be displayed as the second-1 graph 330. [

4 is a diagram for explaining an example in which the image data processing apparatus 100 according to the embodiment performs correction for the second output value.

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

Since the second-1 graph 330 representing the second output value has few points at which the value suddenly changes, unlike the first-second graph 310 of FIG. 3, The second imaging value can be obtained in the same manner as the graph 330. [ When the image data processing apparatus 100 acquires the second image pickup value in the same manner as the second output value, since the image data processing apparatus 100 has correctly obtained information on the second output value, It is possible to determine a re-correction correction value for outputting the third output value. In this case, the display 10 may output the second -2 graph 410 corresponding to the reference value 300 as a third output value according to the re-correction value. However, in FIG. 4, a more or less ideal case is shown, and in reality, it may be difficult to perform the ideal correction as shown in FIG. However, even in a practical case, 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.

5 is a diagram for explaining an example in which the image data processing apparatus according to the embodiment performs correction for the first output value indicated by the 3-1 curve 510. [

The 3-1 graph 510 may represent the first output value, the 3-2 graph 520 may represent the first imaging value, and the 4-1 graph 530 may represent the second output value. Here, 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 or the like for the 3-1 graph 510 according to one embodiment.

The method of performing the correction from the first output value to obtain the second output value may refer to the above-described FIG.

5, the maximum value 511 and the minimum value 512 of the first output value can be confirmed in the 3-1 curve 510 and the maximum value 511 and the minimum value 512 of the second output value can be confirmed in the 4-1 curve 530. [ The value 531 and the minimum value 532 can be confirmed.

5, the maximum value 511 of the first output value is larger 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 .

5, the difference value between the average value of the first output value and the reference value 500 may be greater than the difference value between the average value of the second output value and the reference value 500. [

FIG. 6 is a diagram for explaining an example in which the image data processing apparatus according to the embodiment performs correction for the second output value indicated by the 4-1 curve 530. FIG.

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 is abruptly changed unlike the 3-1 graph 510 of FIG. 5, the image data processing apparatus 100 has the 4-1 The second imaging value can be obtained in the same manner as the graph 530. [ When the image data processing apparatus 100 acquires the second image pickup value in the same manner as the second output value, since the image data processing apparatus 100 correctly acquires information on the second output value, It is possible to determine a re-correction correction value for outputting the third output value. In this case, the display 10 may output the 4-2 curve 610 corresponding to the reference value 500 as the third output value according to the re-correction value. However, in FIG. 6, a more or less ideal case is shown, and in reality, it may be difficult to perform the ideal correction as shown in FIG. However, even in a practical case, 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 according to an embodiment performs correction for pixels adjacent in the horizontal direction, FIG. 8 illustrates an example in which the apparatus 100 for processing image data according to an embodiment FIG. 9 is a diagram illustrating an example in which the image data processing apparatus 100 according to an exemplary embodiment performs correction for pixels adjacent in a diagonal direction.

As described above with reference to Figs. 3 to 6, the abscissa in Figs. 3 to 6 may indicate a change in position of an adjacent pixel or block. The correction input value and the recalibration input value are obtained according to the present disclosure when the output value changes abruptly according to the positional change of the adjacent pixel or block, and the obtained correction input value and the recalculated input value are input to the pixels, By correcting, the output value for the predetermined gray can be corrected.

For example, FIG. 7 shows a case where the horizontal axis in FIGS. 3 to 6 indicates the horizontal direction 720. In this case, the correction input value and the recalibration input value are determined for the pixels 710 corresponding to the horizontal direction 720, and the output value can be corrected by applying the recalibration input value to the pixels 710.

As another example, FIG. 8 may show a case where the horizontal axis in FIGS. 3 to 6 indicates 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 can be corrected by applying the recalibration input value to the pixels 810.

In another example, FIG. 9 may show the case where the abscissa 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 can be corrected by applying the recalibration input value to the pixels 910.

10 is a diagram showing an example in which the image data processing apparatus 100 according to an embodiment performs correction on the blocks 1010. FIG.

As described above with reference to Figs. 3 to 6, the abscissa in Figs. 3 to 6 may indicate a change in position of an adjacent block. When the output value changes abruptly according to the positional change of the adjacent block, the correction input value and the re-correction input value are obtained according to the present disclosure, the obtained correction input value and the re-correction input value are input to the pixels, , It is possible to correct the output value for the predetermined gray.

For example, FIG. 10 can show a case where the horizontal axis in FIGS. 3 to 6 indicates the horizontal direction 1020. In this case, the correction input value and the re-correction input value are determined for the blocks 1010 corresponding to the horizontal direction 1020, and the output value can be corrected by applying the re-correction input value to the blocks 1010.

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

Also, according to one embodiment, the block value in the figure may be applied as a concept corresponding to the pixel value described in Figs. 1 to 9.

11 is a diagram showing an example in which the image data processing apparatus 100 according to the embodiment determines the first correction value and the second correction value.

11 shows an example of the operation of the image data processing apparatus 100 described above with reference to FIGS. 1 to 10 according to the flow of time, and the contents described in FIGS. 1 to 10 may be referred to.

In step S1110, the image data processing apparatus 100 according to the embodiment may acquire the first sensing value by sensing a first output value output from the pixels to which the input value corresponding to the predetermined gray value is applied. The first output value may represent the luminance value, and the first output value and the first imaging value may not be the same because of the physicality of the imaging.

In step S1120, the image data processing apparatus 100 according to the embodiment can determine the first correction value used for the correction of the input value based on the reference value corresponding to the predetermined gray value and the first sensing value. The first correction value may be a value used for correction of the input value, and as a result, the first output value may be corrected as the input value is corrected.

In step S1130, the image data processing apparatus 100 according to the embodiment may acquire a second image pickup value by capturing a second output value output from the pixels to which the correction input value according to the first correction value is applied. The input value is corrected to the correction input value according to the first correction value and the first output value can be corrected to the second output value as the correction input value is applied to the pixels.

In step S1140, the image data processing apparatus 100 according to one embodiment can determine a second correction value used for correction of the correction input value based on the reference value and the second pick-up value. The second correction value may be a value used for recalibration of the correction input value, and as the correction input value is recalibrated, the second output value may be corrected as a result.

In step S1150, the image data processing apparatus 100 according to the embodiment may re-adjust 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.

11, since the image corresponding to the predetermined gray is described, 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. In addition, even when there is a sudden change in the luminance value due to a change in the position 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.

Meanwhile, the above-described method can be implemented in a general-purpose digital computer that can be created as a program that can be executed by a computer and operates 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 a computer-readable recording medium through various means. The computer-readable recording medium includes a storage medium such as a magnetic storage medium (e.g., ROM, RAM, USB, floppy disk, hard disk, etc.), optical reading medium (e.g. CD ROM, do.

It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the disclosed methods should be considered from an illustrative point of view, not from a restrictive point of view. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.

10: Display 20: Camera
100: image data processing device 110: receiver
120: processor 130: memory
300: correction image data processing device 400: horizontal direction
410: pixels on line 1-1: 420 pixels on line 2-1:
500: longitudinal direction 700: diagonal line
750: Diagonal direction 800: Landscape direction
910: first graph 920: second graph
930: third graph 960: left area
970: Middle area 980: Right area

Claims (12)

An imaging device for imaging pixels; And
A first image pickup value obtained by picking up a first output value outputted by the pixels to which an input value corresponding to a predetermined gray value is applied is received from the image pickup apparatus,
Determines a first correction value used for correction of the input value based on the reference value corresponding to the predetermined gray value and the first sensing value,
A second image pickup value obtained by picking up a second output value outputted by the pixels to which the correction input value according to the first correction value is applied is received from the image pickup apparatus,
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 pick-up value,
The processor
Determines the correction input value by correcting the input value according to the first correction value,
If the correction input value includes a decimal portion, performing up or down of the decimal portion based on a correction root (LUT) value corresponding to the pixels,
And applies the updated correction input value to the pixels according to the result of the up or down operation to determine the second output value. The method according to claim 1,
The processor
And recalculates the correction input value according to the second correction value to obtain a re-correction input value. The method according to 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,
The processor
Determining the correction input value by correcting the input value according to the first correction value, transmitting the correction input value to the display,
Wherein the display applies the correction input value to the pixels and outputs the second output value. delete The method of claim 3,
The processor transmits the first correction value to the display,
Wherein the display stores the first correction value, determines the correction input value by correcting the input value according to the first correction value, applies the correction input value to the pixels, and outputs the second output value The image data processing device. The method according to claim 1,
The processor
And determines the first correction value for each of the blocks composed of the pixels. The method according to claim 1,
Wherein the maximum value of the first output value is larger than the maximum value of the second output value and the minimum value of the first output value is smaller than the minimum value of the second output value. The method according to claim 1,
Wherein the difference value between the average value of the first output value and the reference value is greater than the 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 predetermined gray value is applied to obtain a first sensing value;
Determining a reference value corresponding to the predetermined gray value and a first correction value used for correction of the input value based on the first sensing value;
Determining a correction input value by correcting the input value according to the first correction value;
Performing a rounding up or down of the fractional part based on a correction root (LUT) value corresponding to the pixels when the correction input value includes a fractional part;
Determining a second output value by applying an updated correction input value to the pixels according to a result of performing the up or down;
Capturing the second output value output by the pixels to which the correction input value is applied to obtain a second image pickup value; And
And determining a second correction value used for correction of the correction input value based on the reference value and the second pick-up value. 11. The method of claim 10,
And re-calibrating the correction input value according to the second correction value to obtain a re-correction input value. 12. A computer program stored on a recording medium for implementing the method of any one of claims 10 to 11.

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