JP6080459B2 - Image processing apparatus, image processing method, and program - Google Patents

Description

The present invention relates to an image processing apparatus , an image processing method, and a program . For example, the present invention relates to an image processing technique for a display device having a matrix display panel such as a liquid crystal projector, and more particularly to an image processing technique for suppressing the occurrence of disclination that occurs when a potential difference between adjacent pixels is large.

  In a matrix-type drive display device having a high pixel density, such as a display panel of a liquid crystal projector, when the potential difference between adjacent pixels is large, the pixel spacing is narrow, so that it is affected by the drive electric field of the adjacent pixels and disclination (liquid crystal molecules Local tilt). In this case, unintentional tilting occurs in the adjacent portion of the pixel, so that the transmittance within the pixel is locally different, which causes display defects.

  With respect to this problem, in Patent Document 1, a voltage value applied to an electrode that applies an electric field to liquid crystal is calculated from a pixel value, and the calculated electrode voltage value of the target pixel is used as a voltage of a pixel electrode adjacent to the electrode of the target pixel. The problem is solved by supplying a corrected value based on the value.

  In Patent Document 2, a potential difference between video signals input to two adjacent pixels is detected, a pixel to be corrected is selected according to the difference, and a drive voltage is controlled only for the target pixel based on the potential difference. The occurrence of disclination is suppressed.

JP 2009-237524 A JP 2009-237366 A

  Here, when the display image includes a still area, the potential difference between adjacent pixels does not change, and therefore the correction amount of the still area is equal to that of the immediately preceding display frame. For this reason, since the recalculation result of the correction amount is the same as the correction information of the immediately preceding frame, the correction calculation result in the still region can be omitted by using the correction information of the immediately preceding frame. However, Patent Document 1 does not have a means for calculating correction data using frame difference information, and always calculates correction data for all pixels, which causes a problem of high power consumption.

  The present invention provides an image processing technique capable of reducing power consumption by stopping the disclination occurrence determination and correction data calculation processing for a still area in which video information of partial areas constituting a frame does not change. With the goal.

An image processing apparatus according to one aspect of the present invention that achieves the above object is an image processing apparatus that performs image processing to display an image on a liquid crystal display,
Input means for inputting image data;
Based on the motion information specified from the image data of the current frame input by the input means and the image data of the past frame input before the image data of the current frame , from within the divided area of the current frame A specifying means for specifying a still pixel ;
If a still pixel is not specified from within the divided area of the current frame by the specifying means, and the motion information of the divided area corresponds to a motion amount less than a predetermined motion amount, it is adjacent to a pixel in the divided region . While determining whether or not the difference in pixel value from the pixel is equal to or greater than a threshold value, no static pixel is identified from within the segmented region of the current frame by the identifying unit, and motion information of the segmented region is the predetermined information A determination unit that does not determine whether or not a difference in pixel value between a pixel in the divided region and an adjacent pixel is equal to or greater than the threshold value.
It is determined that the still pixel is not specified by the specifying means , and that a difference in pixel value from an adjacent pixel among pixels in a divided region corresponding to a motion amount less than the predetermined motion amount is equal to or greater than the threshold value. Determining means for determining a correction amount of a pixel value of a pixel that has been corrected, wherein the correction amount is based on a difference in pixel value from the adjacent pixel so that a difference in pixel value from the adjacent pixel is reduced by the correction and determining means for determining a,
It is determined that the still pixel is not specified by the specifying means, and that a difference in pixel value from an adjacent pixel among pixels in a divided region corresponding to a motion amount less than the predetermined motion amount is equal to or greater than the threshold value. and having a correction means you corrected based on pixel values of pixels on the correction amount determined by the determining means.

  According to the present invention, a still area in which video information of a partial area constituting a frame does not change is determined in advance, and the determination of occurrence of disclination and the calculation process of correction data are stopped for the still area. Electric power can be reduced. As a result, while the processing is stopped, it is possible to release calculation resources and buses and distribute them to other functions.

1 is a diagram illustrating a schematic configuration of an image processing apparatus according to an embodiment. The figure which shows the structure of the difference detection part in embodiment. The figure explaining the flow of the disclination correction process of 1st Embodiment. The figure explaining the flow of the disclination correction process of 2nd Embodiment.

  Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the drawings. However, the constituent elements described in the embodiments are merely examples, and the technical scope of the present invention is determined by the claims, and is not limited by the following individual embodiments. .

<First Embodiment>
(Configuration of image processing apparatus)
Hereinafter, the configuration of the image processing apparatus according to the present embodiment will be described. FIG. 1 is a block diagram showing a schematic configuration of a display device (projector) 10 having an image processing device according to this embodiment. In FIG. 1, a video input unit 101 includes a terminal (not shown) for inputting an image signal from an image supply unit 11 of an external device such as a personal computer or an image playback device such as a DVD. As this terminal, an HDMI (High-Definition Multimedia Interface) terminal, an S terminal, a VGA terminal, or the like can be used. The input image is subjected to various types of image processing, for example, IP conversion, color correction processing, frame rate conversion, and the like for converting an interlace video signal into a progressive video signal.

  The storage unit 103 stores the frame information input from the video input unit 101. The storage unit 103 includes various RAMs, RAM control units (not shown), and the like. The storage unit 103 is connected to various processing modules such as a CPU (Central Processing Unit) and image processing that requires memory access, such as IP conversion and frame rate conversion, via a bus (not shown). In the present embodiment, the storage unit 103 is connected to the difference detection unit 102.

  The difference detection unit 102 includes an image input from the video input unit 101 (referred to as frame n for the sake of convenience) and an image input from the storage unit 103 in the past for one frame or more (referred to as frame n-1 for the sake of convenience). Is used to find the difference in pixel values between frames. Then, the presence / absence of a change in pixel value between frames is determined (frame difference detection). After detecting the frame difference, the difference detection unit 102 outputs the frame difference information Idiff and the frame n to the disclination occurrence determination unit 104. A specific configuration of the difference detection unit 102 will be described later with reference to FIG.

  The disclination occurrence determination unit 104 analyzes video information (pixel information) of frame n and determines whether or not disclination occurs on the liquid crystal panel 110. When performing the determination process, the disclination occurrence determination unit 104 performs the determination process for each partial area constituting the frame or stops the determination process for each partial area according to the detection result of the frame difference detection. (Do not perform the determination process). In this way, the power consumption of the apparatus can be reduced by performing the determination process only on a necessary area instead of performing the determination process uniformly on all the areas in the frame. In addition, while not performing predetermined processing, it is possible to release calculation resources and buses and distribute them to other functions.

  After the determination process, the disclination occurrence determination unit 104 outputs the disclination determination result Idsc_det and the frame difference information Idiff to the correction data calculation unit 106. Further, the disclination occurrence determination unit 104 outputs the frame n and the frame difference information Idiff for which the determination process has been performed to the correction unit 105.

  The correction data calculation unit 106 calculates correction data used for correction to the frame n using the disclination determination result Idsc_det. The correction data calculation unit 106 writes the calculated correction data in the correction data table of the correction data management unit 107. Here, the correction data table has a double buffer configuration having an area for storing shadow data and an area for storing main data, and the correction data calculation unit 106 stores the calculated correction data in the shadow data of the correction data table. Write to. The update of the correction data table from the shadow data side to the main data side will be described in detail later.

  The correction unit 105 reads the correction data from the main data side of the correction data table, and performs correction processing on the frame n input from the disclination occurrence determination unit 104 according to the correction data. Thereafter, the correction unit 105 outputs the corrected image of frame n (referred to as frame n ′ for convenience) to the video output unit 108.

  Here, the difference detection unit 102, the storage unit 103, the disclination occurrence determination unit 104, the correction unit 105, the correction data calculation unit 106, and the correction data management unit 107 constitute an image processing device of the display device (projector) 10. .

  The video output unit 108 controls the liquid crystal cell of the liquid crystal panel 110 according to the input video information (each pixel value) of the frame n ′ to form an output image. More specifically, light emitted from the light source 109 is modulated by the liquid crystal panel 110 that forms an output image to become output image light, which is displayed on a screen (not shown) through the projection lens 111. As the light source 109, for example, a discharge light-emitting light source lamp such as a high-pressure mercury lamp, a metal halide lamp, or a xenon lamp, or a solid light-emitting element such as an LED, a laser, or an organic EL (Organic Electro-Luminescence) can be used. The liquid crystal panel 110 changes a liquid crystal molecule sealed in a liquid crystal cell arranged in a matrix (not shown) according to a voltage, and allows a predetermined color light to pass / block through a color filter, thereby obtaining a desired image. Produce light. The generated image light is enlarged via the projection lens 111 and projected onto a screen (not shown). As the liquid crystal panel 110, a general liquid crystal that performs display by transmitting light from the light source 109, LCOS (Liquid Crystal On Silicon) that performs display by reflecting light from the light source 109, or the like can be used. In addition, as the liquid crystal panel, a single-plate method in which RGB is arranged on the same panel, a three-plate method in which RGB is arranged in a separate panel, and is synthesized and displayed by an optical system can be used.

(Disclination correction processing)
FIG. 2 is a block diagram showing the configuration of the difference detection unit 102, and FIG. 3 is a diagram for explaining the flow of disclination correction processing. The disclination correction processing in the present embodiment will be specifically described with reference to the block diagram of FIG. 1 described above together with FIGS.

(Frame difference detection)
In step S31, the difference detection unit 102 relates to the input image (frame n) and the image (frame n−1) read from the storage unit 103 for each partial area (rectangular area) constituting each frame. Compare pixel values. And the difference of the pixel value between frames is calculated | required, and the presence or absence of the change of the pixel value between frames is detected (frame difference detection).

  The image (frame n) input to the difference detection unit 102 is input to the memory write control unit 1020 and the frame difference detection unit 1022 of the difference detection unit 102 as illustrated in FIG. The memory writing control unit 1020 performs format conversion for expanding the pixel value of each rectangular area of the image (frame n) on the memory in the storage unit 103. Further, the memory write control unit 1020 adds address information when data is stored in the memory in the storage unit 103, and outputs pixel values of each rectangular area to the storage unit 103 via a bus (not shown). On the other hand, the frame difference detection unit 1022 detects the frame difference of the pixel value between the input image (frame n) and the image (frame n−1) input in the past one frame or more and stored in the storage unit 103. I do.

  In order to read the image (frame n−1) from the storage unit 103, the memory read control unit 1021 outputs the address information in which the image (frame n−1) is stored to the storage unit 103, and the storage unit 103 outputs the image ( Read frame n-1). After the readout, the memory readout control unit 1021 restores the data for each pixel and outputs it to the frame difference detection unit 1022. The memory read control unit 1021 reads the image (frame n−1) from the storage unit 103 in synchronization with the input timing of the image (frame n) input to the frame difference detection unit 1022, and outputs it to the frame difference detection unit 1022. To do.

  The frame difference detection unit 1022 detects the presence or absence of a change in pixel value between frames (frame n, frame n−1) for each partial area (rectangular area) constituting each frame. The frame difference detection unit 1022 determines a rectangular area where the pixel value does not change as a still area (area where there is no frame difference), and determines a rectangular area where the pixel value changes as an area where there is a frame difference.

  The frame difference detection unit 1022 has a comparison circuit (not shown) inside, and compares the pixel values of the same coordinates in the frame n and the frame n−1 with the comparison circuit. The frame difference detection unit 1022 counts the comparison results for each rectangular area, and detects whether there is a change in pixel value for all pixels in the partial area. Based on the detection result, in a rectangular area constituting the frame, a rectangular area where the pixel value does not change (area where there is no frame difference) and a rectangular area where the pixel value changes (area where the frame difference exists) are identified. it can. The frame difference detection unit 1022 outputs the detection result to the disclination occurrence determination unit 104 as frame difference information Idiff. In the following description, for convenience, a rectangular area having a frame difference will be referred to as Adiff, and a rectangular area having no frame difference will be referred to as Asame.

  In the present embodiment, whether or not the pixel values of all the pixels in the partial region match is used as a criterion for the presence or absence of the frame difference. However, the determination is made by comparing the number of pixels having different pixel values with a predetermined threshold value. Is also possible. For example, when the number of pixels having different pixel values in the partial area of the input frame is less than a predetermined threshold value, it is determined that the pixel values of all the pixels match and the video information in the partial area has not changed. In addition, when pixels having different pixel values are equal to or greater than a predetermined threshold, it is also possible to determine the presence / absence of a frame difference using an algorithm such as determining that the video information of the partial area has changed. .

  After detecting the frame difference, the frame difference detection unit 1022 outputs the frame n together with the frame difference information Idiff to the disclination occurrence determination unit 104. Thus, the process of step S31 ends.

(Determining whether or not there is a frame difference)
Next, in step S32, the disclination occurrence determination unit 104 determines whether the rectangular area to be determined is a rectangular area with a frame difference (Adiff) or a rectangular area with no frame difference (Asame). Judgment is made.

  The disclination occurrence determination unit 104 analyzes the frame n input from the difference detection unit 102 for each of the same partial areas (rectangular areas) as the frame difference detection unit 1022. Based on this analysis, the disclination occurrence determination unit 104 determines whether or not disclination occurs when an image of the frame n is formed on the liquid crystal panel 110. The disclination occurrence determination unit 104 does not perform determination processing for all pixels, but performs determination processing for each partial region (rectangular region) or the partial region (rectangular region) according to the detection result of frame difference detection. ) Can be stopped every time. When performing disclination detection using this feature, the frame difference information Idiff input from the difference detection unit 102 is referred to, and a disclination determination process is performed for a rectangular area (Asame) having no frame difference. Stop (no decision process).

  If it is a rectangular area (Asame) with no frame difference (S32-No), the process proceeds to step S35, and the disclination occurrence determination unit 104 stops the disclination determination process. On the other hand, if the frame difference is a rectangular area (Adiff) (S32-Yes), the process proceeds to step S33.

(Discrimination determination)
In step S <b> 33, the disclination occurrence determination unit 104 executes disclination determination processing in the rectangular area for a rectangular area (Adiff) with a frame difference. The disclination occurrence determination unit 104 compares pixel values for adjacent pixels (vertical and horizontal) of the target pixel in the rectangular area. As a result of the comparison, when the pixel value changes rapidly between adjacent pixels exceeding a predetermined inter-pixel threshold, the liquid crystal alignment is likely to be disturbed, and a pattern in which disclination occurs can be obtained. In this case, the feature amount of the pattern is incremented. The feature amount of each partial area (rectangular area) is determined by the sum of the comparison results in the vertical and horizontal directions. The disclination occurrence determination unit 104 stores the disclination determination result Idsc_det in a table (not shown) in the disclination occurrence determination unit 104 for each partial area (rectangular area). Also, the disclination occurrence determination unit 104 outputs the frame difference information Idiff and the disclination determination result Idsc_det to the correction data calculation unit 106 after the detection processing. Also, the disclination occurrence determination unit 104 outputs the frame difference information Idiff and the frame n to the correction unit 105. Thus, the process of step S33 is completed.

(Correction data calculation process)
In step S34, the correction data calculation unit 106 uses the disclination determination result Idsc_det in step S33 to calculate pixel value correction data for each rectangular area of frame n in order to suppress the occurrence of disclination. The correction data calculation unit 106 uses the disclination determination result Idsc_det input from the disclination occurrence determination unit 104 and the frame difference information Idiff to select a rectangular area for calculating correction data. In a rectangular area (Asame) with no frame difference, the pixel values of the frame n and the frame n−1 are the same. For this reason, the correction data of frame n is equivalent to the correction data of frame n-1. For this reason, the correction data calculation unit 106 does not calculate correction data for a rectangular area (Asame) having no frame difference. The correction data calculation unit 106 executes correction data calculation processing only for the area determined as a rectangular area (Adiff) having a frame difference based on the frame difference information Idiff.

  The correction data calculation unit 106 calculates correction data that reduces the difference in pixel value between adjacent pixels for an area where the pixel value rapidly changes between adjacent pixels exceeding a predetermined threshold based on the disclination determination result Idsc_det. To do. The correction data calculation unit 106 writes the calculated correction data and frame difference information Idiff in the correction data table of the correction data management unit 107. Thus, the process of step S34 is completed.

  If it is determined in the previous step S32 that the region does not have a frame difference (Asame), the processing proceeds to step S35 without executing the processing in steps S33 and S34. In this case, the disclination occurrence determination unit 104 stops the disclination determination process (does not perform the determination process) for power saving.

(Table update / maintenance)
In step S <b> 35, if the frame difference is a rectangular area (Adiff), the correction data calculation unit 106 writes the correction data calculated in step S <b> 34 in the correction data table of the correction data management unit 107. Here, the correction data table has a double buffer configuration having an area for storing shadow data and an area for storing main data, and the correction data calculation unit 106 writes the correction data in an area for storing shadow data in the correction data table. .

  On the other hand, in the case of a rectangular area (Asame) with no frame difference, the correction data calculation unit 106 does not execute the correction data calculation process, so the correction data already stored in the area for storing the main data in the correction data table is stored. maintain. In this case, the correction data calculated in frame n−1 is continuously used as correction data for the next frame n.

  The correction data management unit 107 copies the shadow data to the main data side at a predetermined timing, and updates the correction data table. The correction data management unit 107 continues the correction data of the frame n−1 written in the area storing the main data as the correction data for the rectangular area (Asame) as the correction data for the rectangular area (Asame) with no frame difference. Use.

  On the other hand, when the value of the frame difference information Idiff indicates that the frame difference is a rectangular area (Adiff), correction data is written in an area for storing shadow data. Therefore, the correction data is updated by copying the correction data from the shadow data side to the main data side. The correction data copied to the main data side is used as the correction data for frame n. Thus, the process of step S35 is completed.

(Correction process)
In step S <b> 36, the correction unit 105 refers to the correction data table of the correction data management unit 107 and executes a disclination correction process for each input rectangular frame n for each rectangular area. The correction unit 105 uses the correction data on the main data side of the correction data management unit 107 to correct each pixel value so as to suppress the occurrence of disclination.

  In the correction process, the pixel value is corrected with reference to the correction data value for each pixel with respect to the input image frame n, and then the gamma curve is corrected for each rectangular area to correct the difference between each pixel. To do. By the correction process, the difference value between adjacent pixels is corrected to be small. Since disclination is a phenomenon that occurs when the difference value between adjacent pixels is large, the occurrence of disclination can be suppressed by reducing the difference by correction processing. A corrected image (referred to as frame n ′) obtained by correcting the image (frame n) is output to the video output unit 108 and output from the image processing apparatus 10 (projector) via the projection system. The above is the process of step S36.

  In step S37, it is determined whether or not a series of processing from steps S31 to S36 has been completed for all partial regions (rectangular regions) constituting the frame n. If not, the processing from steps S31 to S36 is repeated. . If the processing has been completed for all partial regions (rectangular regions), the processing ends.

  In the conventional disclination correction processing, the disclination detection and correction data calculation processing is executed for all rectangular areas constituting the frame. It was. For this reason, power consumption has become large. On the other hand, in the present embodiment, the determination of the occurrence of disclination and the execution / stop of the correction data calculation process are controlled for each rectangular area using the frame difference detection information of the input image. For a rectangular area (Asame) with no frame difference, power consumption can be suppressed by stopping the process as an area where the calculation result of the correction data does not change. Further, when the correction data calculation unit 106 is configured using a CPU, the processing performance can be improved by releasing calculation resources and buses and allocating them to other functions while the correction data calculation process is stopped. Is possible. Furthermore, the inter-frame arithmetic processing is widely used as an image processing method for video signals such as IP conversion and frame rate conversion, and has an advantage that the overhead for adding the circuit of the difference detection unit 102 is small.

Second Embodiment
Next, the flow of disclination correction processing according to the second embodiment of the present invention will be described with reference to the flowcharts shown in FIGS.

  In step S41, when performing frame difference detection, the frame difference detection unit 1022 of the difference detection unit 102 moves the amount of movement of each pixel in each partial area (rectangular area) between the frame n and the frame n-1. And the amount of motion of each pixel is totaled for each rectangular area. The total amount of motion is calculated as follows: a still pixel (motion amount 0), a pixel having a motion equal to or greater than a predetermined motion threshold (a pixel having a motion amount greater than Mth), and other pixels (the motion amount is greater than 0 and a predetermined motion 3) and the number of pixels in each case is tabulated.

  In step S42, the process to be executed is determined according to the counting result of step S41. The occurrence of disclination is characterized in that humans can hardly perceive when the amount of motion of an image is large. Using this feature, in step S42, determination is performed as follows. The specific process of step S42 is a process flow like steps S421 to S423 (FIG. 4B).

  First, in step S421, when a still pixel (motion amount 0) is included in the partial region (rectangular region) (S421-Yes), the process proceeds to step S422. In step S422, when all the pixels in the rectangular area are still pixels (S422-Yes), the frame difference detection unit 1022 determines that all pixels in the rectangular area are still pixels (motion amount 0) as Case 1.

  If it is determined in step S421 that the rectangular area does not include a still pixel (S421-No), the process proceeds to step S423. In step S423, when there is a motion that is equal to or greater than a predetermined motion threshold (Mth or more), it is determined as case 2 in which all of the disclination determination processing, correction data calculation, correction data table update, and correction processing are not executed. . In case 2, since the movement of the rectangular area is large, a person cannot perceive it. Therefore, even if correction processing is not performed, the influence due to the occurrence of disclination is small.

  On the other hand, when all the pixels are not still pixels (S422-No), or when the amount of motion is less than a predetermined motion threshold (S423-No), the frame difference detection unit 1022 determines as case 3. In Case 3, all of the disclination determination processing, correction data calculation, correction data table update, and correction processing are executed. Thus, the processes in steps S421 to S423 are completed.

  If it is determined as case 1 by the processing of steps S421 to S423, since all the pixels in the partial region (rectangular region) of frame n match frame n-1, the correction data for frame n is frame n−. 1 correction data. For this reason, the processes in steps S43 and S44 are not performed. Also in step S45, the correction data management unit 107 does not update the correction data, and uses the correction data for the frame n−1 as correction data for the frame n as it is.

  If it is determined as case 2 by the processes in steps S421 to S423, the process proceeds to step S47. In this case, since the movement in the partial area (rectangular area) is large and the occurrence of disclination is difficult to be visually recognized, the correcting unit 105 does not execute the disclination correcting process in step S46. For this reason, the processes in steps S42 to S45 are not executed as pre-processing necessary for executing the correction process.

  If it is determined as case 3 by the processes of steps S421 to S423, the process proceeds to step S43, and all the processes of steps S43 to S46 are executed.

  In the present embodiment, for each rectangular area of the frame, the process to be executed is determined according to the motion amount of each pixel from the result of summing the motion amount of each pixel. In case 1 where all the pixels in the rectangular area are still pixels, the disclination occurrence determination and correction data calculation processing stops. In addition, in the case 2 that does not include a still pixel in the rectangular area and there is a movement that is equal to or greater than a predetermined threshold, in addition to the process that is stopped in case 1, the target of the process that is stopped is updated in the correction data table. Stop the disclination correction process. In the case 2, since the movement of the rectangular area is large, the human can hardly perceive. Therefore, even if correction processing is not performed, the influence due to the occurrence of disclination is small. For this reason, it is possible to further promote the reduction of power consumption by stopping all the processes from the disclination determination process (S43) to the disclination correction process (S46).

<Other embodiments>
The present invention can also be realized by executing the following processing. That is, software (program) that realizes the functions of the above-described embodiments is supplied to a system or apparatus via a network or various storage media, and a computer (or CPU, MPU, or the like) of the system or apparatus reads the program. It is a process to be executed.

Claims (5)

An image processing apparatus that executes image processing to display an image on a liquid crystal display,
Input means for inputting image data;
Based on the motion information specified from the image data of the current frame input by the input means and the image data of the past frame input before the image data of the current frame , from within the divided area of the current frame A specifying means for specifying a still pixel ;
If a still pixel is not specified from within the divided area of the current frame by the specifying means, and the motion information of the divided area corresponds to a motion amount less than a predetermined motion amount, it is adjacent to a pixel in the divided region . While determining whether or not the difference in pixel value from the pixel is equal to or greater than a threshold value, no static pixel is identified from within the segmented region of the current frame by the identifying unit, and motion information of the segmented region is the predetermined information A determination unit that does not determine whether or not a difference in pixel value between a pixel in the divided region and an adjacent pixel is equal to or greater than the threshold value.
It is determined that the still pixel is not specified by the specifying means , and that a difference in pixel value from an adjacent pixel among pixels in a divided region corresponding to a motion amount less than the predetermined motion amount is equal to or greater than the threshold value. Determining means for determining a correction amount of a pixel value of a pixel that has been corrected, wherein the correction amount is based on a difference in pixel value from the adjacent pixel so that a difference in pixel value from the adjacent pixel is reduced by the correction and determining means for determining a,
It is determined that the still pixel is not specified by the specifying means, and that a difference in pixel value from an adjacent pixel among pixels in a divided region corresponding to a motion amount less than the predetermined motion amount is equal to or greater than the threshold value. and correcting means you corrected based been the pixel values of the pixels on the correction amount determined by the determination means,
An image processing apparatus comprising: The determination unit does not acquire a pixel value difference between a pixel in the divided region of the current frame in which all the pixels are specified as still pixels by the specifying unit and an adjacent pixel,
  The determining means determines the correction amount in the divided region of the current frame in which all the pixels are specified as still pixels by the specifying means as the correction amount determined for the past frame input before the current frame. The image processing apparatus according to claim 1, wherein: An image processing method for displaying an image on a liquid crystal display,
An input process for inputting image data;
Based on the motion information specified from the image data of the current frame input by the input step and the image data of the past frame input before the image data of the current frame , from within the divided area of the current frame A specific step of identifying a stationary pixel ;
If a still pixel is not specified in the divided area of the current frame by the specifying step, and the motion information of the divided area corresponds to a motion amount less than a predetermined motion amount, it is adjacent to the pixel in the divided region . While determining whether or not the difference between the pixel value and the pixel is equal to or greater than a threshold value, no static pixel is identified from within the segmented region of the current frame by the identifying step, and motion information of the segmented region is the predetermined information A determination step that does not determine whether or not a difference in pixel value between a pixel in the divided region and a neighboring pixel is equal to or greater than the threshold value,
The still pixel is not specified by the specifying step , and it is determined that a pixel value difference with an adjacent pixel among pixels in a divided region corresponding to a motion amount less than the predetermined motion amount is equal to or greater than the threshold value. A determination step for determining a correction amount of the pixel value of the pixel that has been corrected, wherein the correction amount is based on a difference in pixel value from the adjacent pixel so that a difference in pixel value from the adjacent pixel is reduced by the correction a determination step of determining a,
The still pixel is not specified by the specifying step, and it is determined that a pixel value difference with an adjacent pixel among pixels in a divided region corresponding to a motion amount less than the predetermined motion amount is equal to or greater than the threshold value. a correcting step you corrected based on pixel values of pixels on the correction amount determined by the determination step,
An image processing method comprising: In the determination step, a pixel value difference between a pixel in the divided region of the current frame in which all the pixels are specified as still pixels by the specifying step and an adjacent pixel is not acquired,
  In the determining step, the correction amount in the divided region of the current frame in which all pixels are specified as still pixels in the specifying step is determined as a correction amount determined for a past frame input before the current frame. The image processing method according to claim 3. A program for causing a computer to operate as each unit of the image processing apparatus according to claim 1.

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