WO2022102337A1

WO2022102337A1 - Information processing device, display device, information processing method, and program

Info

Publication number: WO2022102337A1
Application number: PCT/JP2021/038114
Authority: WO
Inventors: 太陽木本; 直樹大橋; 太郎市坪
Original assignee: ソニーセミコンダクタソリューションズ株式会社
Priority date: 2020-11-10
Filing date: 2021-10-14
Publication date: 2022-05-19
Also published as: JPWO2022102337A1

Abstract

[Problem] To realize information processing that inhibits the degradation of an image or a video. [Solution] This information processing device comprises a storage circuit and a signal processing circuit. The signal processing circuit: detects a mobile body that scrolls with respect to a background, in image information; detects a boundary of the mobile body in the image information; and corrects pixel values of boundary pixels which constitute the boundary detected in the image information.

Description

Information processing equipment, display equipment, information processing methods and programs

This disclosure relates to an information processing device, a display device, an information processing method and a program.

Video projection devices using HTPS (High Temperature Polysilicon) panels have become widespread in the fields of, for example, liquid crystal projectors and back-projection televisions, as the resolution of images and video information has increased. This HTPS panel has a TFT (Thin Film Transistor) structure, and when it receives a video signal, it applies a voltage to the liquid crystal element corresponding to each pixel to change the light transmission and project it. conduct.

As described above, the HTPS panel applies a voltage to the pixels to control the pixel value according to the video signal, so display problems occur due to the lateral electric field generated between the electrodes of adjacent pixels. May be done. For example, in moving images, pixels that should transition from black pixels to white pixels may not become white pixels due to the influence of this lateral electric field, and afterimages and tailing phenomena may occur to the extent that they can be visually recognized.

To deal with this, the lateral electric field is reset by displaying all pixels in black in subframe units or by inserting a black belt area in a row or column that includes an area where afterimages may remain. Was being processed. However, in such a process, there remains a problem that the band may be visually recognized in the brightness reduction and the display.

International Publication No. 2020/171130

Therefore, in the present disclosure, an information processing device that realizes information processing that suppresses deterioration of an image or video is provided.

According to one embodiment, the information processing apparatus includes a storage circuit and a signal processing circuit. The signal processing circuit detects a moving object that scrolls with respect to the background in the image information, detects a boundary of the moving object in the image information, and with respect to the pixel value of the boundary pixel that is the boundary detected in the image information. To correct.

When the pixel value of the boundary pixel is smaller than the first pixel value, the signal processing circuit may correct the value to be larger than the pixel value of the boundary pixel in the image information.

The signal processing circuit may correct the pixel value of the boundary pixel to the pixel value indicating the background.

The signal processing circuit may correct the pixel value of the boundary pixel to the maximum value of the pixel value.

The signal processing circuit may correct the pixel value of the boundary pixel to a value obtained by multiplying the maximum value of the pixel value by a predetermined ratio.

The signal processing circuit may further correct the pixel value of the adjacent pixel adjacent to the boundary pixel to a value smaller than the pixel value of the adjacent pixel in the image information.

The adjacent pixel may be a pixel adjacent to the boundary pixel in a predetermined direction.

The signal processing circuit may correct the pixel value for each subframe belonging to the frame with respect to the image information acquired for each frame.

The signal processing circuit may correct in the frame so that the average of the correction values corrected for each of the adjacent pixels in the subframe becomes equal to the pixel value of the adjacent pixels in the image information.

The signal processing circuit may correct the pixel value for each component in a predetermined color space of the image information, and may synthesize the corrected pixel value to acquire the image information.

The storage circuit includes a frame memory, and the signal processing circuit may detect scrolling by comparing the image information of the current frame with the image information of the past frame stored in the frame memory. good.

The signal processing circuit is in a predetermined region based on the pixel value of the pixel in a predetermined region based on the pixel of interest in the current frame and a pixel at a first distance from the pixel of interest in the past frame. Scrolling in the pixel of interest may be detected by comparing each of the pixel values of the pixels in the above.

In the signal processing circuit, the pixel value of the pixel of interest in the image information is smaller than the first predetermined value, and the pixel value of a pixel belonging to within a second distance in a predetermined direction from the pixel of interest is larger than the second pixel value. When it is large, the pixel of interest may be detected as the boundary pixel.

The signal processing circuit determines the pixel of interest when the difference between the pixel value of the adjacent pixel adjacent to the pixel of interest in the predetermined direction and the pixel value of the pixel of interest is larger than the third pixel value. It may be detected as the boundary pixel.

The predetermined direction may be a chiral direction. This direction depends, for example, on the orientation direction of the liquid crystal molecules of the liquid crystal panel.

In the signal processing circuit, when the pixel value of the pixel adjacent to the predetermined direction is smaller than the first predetermined value, the adjacent pixel has the pixel value of the boundary pixel. The same correction as the correction may be made.

The information processing circuit may be mounted on an IC (Integrated Circuitry).

It may be a control circuit that controls the voltage applied to the liquid crystal display based on the corrected image information output by the signal processing circuit.

A control circuit that controls the voltage applied to the liquid crystal based on the corrected image information output by the signal processing circuit may be further provided, and the signal processing circuit may set the pixel value of the boundary pixel. , The control circuit may be corrected to a value larger than the voltage that gives the maximum value of the pixel value.

According to one embodiment, the display device includes a storage circuit, a signal processing circuit, a control circuit, and a liquid crystal panel. The signal processing circuit detects a moving object that scrolls with respect to the background in the image information, detects a boundary pattern of the moving object in the image information, and has a pixel value of a boundary pixel that is the boundary detected in the image information. The control circuit controls the voltage applied to the liquid crystal belonging to the liquid crystal panel based on the corrected image information output by the signal processing circuit, and the liquid crystal panel controls the control circuit. The intensity of the emitted light is controlled based on the voltage value output from.

According to one embodiment, the information processing method detects a moving object scrolling with respect to the background in the image information by a signal processing circuit, detects a boundary of the moving object in the image information, and detects the moving object in the image information. The pixel value of the boundary pixel, which is the boundary, is corrected.

According to one embodiment, when executed by a signal processing circuit, the program detects a moving object that scrolls with respect to the background in the image information, detects a boundary of the moving object in the image information, and detects it in the image information. The pixel value of the boundary pixel, which is the boundary, is corrected.

The figure which shows an example of an input signal and an output image schematically. The figure which shows an example of an input signal and an output image schematically. The figure which shows an example of an input signal and an output image schematically. The block diagram schematically showing the display device which concerns on one Embodiment. The flowchart which shows the processing of the information processing apparatus which concerns on one Embodiment. The figure which shows typically an example of scroll detection which concerns on one Embodiment. The figure which shows the example of the corresponding pixel area of scroll detection which concerns on one Embodiment. The figure which shows the example of the corresponding pixel area of scroll detection which concerns on one Embodiment. The flowchart which shows the scroll detection process which concerns on one Embodiment. The figure which shows typically the example of the boundary detection which concerns on one Embodiment. The figure which shows typically the example of the boundary detection which concerns on one Embodiment. The figure which shows typically the example of the boundary detection which concerns on one Embodiment. The flowchart which shows the boundary detection process which concerns on one Embodiment. The figure which shows an example of the correction which concerns on one Embodiment schematically. The figure which shows an example of the display which concerns on one Embodiment schematically. A flowchart showing a correction process according to an embodiment. The figure which shows typically an example of the correction process which concerns on one Embodiment. The figure which shows typically an example of the correction process which concerns on one Embodiment. The figure which shows typically an example of the correction process which concerns on one Embodiment. The figure which shows typically an example of the correction process which concerns on one Embodiment. The figure which shows typically an example of the correction process which concerns on one Embodiment. The figure which shows typically an example of the correction process which concerns on one Embodiment. The figure which shows typically an example of the correction process which concerns on one Embodiment. The figure which shows typically an example of the correction process which concerns on one Embodiment. The figure which shows typically an example of the correction process which concerns on one Embodiment. The figure which shows typically an example of the correction process which concerns on one Embodiment. The figure which shows typically an example of the correction process which concerns on one Embodiment.

Hereinafter, embodiments in the present disclosure will be described with reference to the drawings. The drawings are for illustration purposes only, and the shape, size, or size ratio of each part configuration to other configurations in an actual device need not be as shown in the figure. In addition, since the drawings are written in a simplified form, it is assumed that configurations necessary for mounting other than those shown in the drawings are appropriately prepared. In this disclosure, the terms "less than or equal to" and "greater than or equal to" may be used, but can be appropriately read as "less than" and "greater than". That is, whether or not a case equal to the comparison value is included can be appropriately changed by design.

FIG. 1 is a diagram showing an example of the arrangement and input / output state of the liquid crystal of the light emitting panel using a general liquid crystal. As shown in FIG. 1, the liquid crystal panel 3 includes, for example, a liquid crystal molecule 32 that exercises a TFT between the display surface 30 and the facing substrate 31. As shown in the figure, the liquid crystal molecules 32 are arranged with a predetermined orientation angle with respect to the display surface 30 of the liquid crystal panel.

As an image signal (image information), for pixels corresponding to black, black is output by applying a voltage Vb corresponding to black to the liquid crystal display to put it in a light-shielded state. The voltage Vb may be, for example, 0V. By applying the voltage Vb to the liquid crystal (no voltage is applied), the light from the light emitting portion is blocked by the liquid crystal molecules, and as shown in the figure below, the light is output as a black pixel via the display panel 30.

FIG. 2 is a diagram showing an example in which a white pixel and a black pixel are adjacent to each other. Black pixels and white pixels are arranged in this order toward the orientation direction of the liquid crystal molecules. When outputting a pixel corresponding to white, a voltage Vw is applied to the liquid crystal molecule to tilt the liquid crystal molecule and transmit light. By applying a voltage that controls the liquid crystal molecules in this way, light is transmitted, and white pixels are output as shown in the figure below.

In this case, the inclination of the liquid crystal from the white pixel to the black pixel by applying a voltage coincides with the orientation direction of the liquid crystal, so even if there is a slight gray area at the end of the white pixel. The effect on the human eye is not so great, and white and black pixels can be separated naturally.

FIG. 3 is a diagram showing another example in which a white pixel and a black pixel are adjacent to each other. In FIG. 3, black pixels and white pixels are arranged in this order in the direction opposite to the orientation direction of the liquid crystal molecules. Similar to the case of FIG. 2, when the pixel corresponding to white is output, the liquid crystal molecule is tilted and light is transmitted by applying a voltage Vw to the liquid crystal molecule.

As shown in the figure below, since a liquid crystal having an orientation opposite to the tilting direction of the liquid crystal is provided between the black pixel and the white pixel, the tilt of the liquid crystal of the white pixel is reversed due to the potential Vb of the adjacent black pixel. There is a region where the turbulence of the tilt is generated, and in the output pixel, a conspicuous black pixel band is inserted in the white pixel. In the case of a still image, the influence of the tilt of the liquid crystal can be reduced by a sufficient time.

On the other hand, in a moving image signal, for example, when a black object moves from the right side to the left side of the figure on a white background, the liquid crystal display in the white pixels is tilted due to the lateral electric field caused by the voltage Vb of the adjacent black pixels. Due to the great influence, afterimages and tailing may occur on the right side of the moving object. In the present disclosure, correction of an input signal is realized, which enables control to reduce the influence of such an afterimage. Hereinafter, the direction opposite to the orientation of the liquid crystal display (for example, the direction from the left side to the right side in FIGS. 1 to 3) is referred to as a predetermined direction.

In the above, a black object and a white background were used, but it is not limited to this. In a broad sense, any object may have a pixel value smaller than that of the background.

FIG. 4 is a block diagram schematically showing the display device 1 according to the embodiment. The display device 1 includes an information processing device 2 and a liquid crystal panel 3 described above. The display device 1 may be, for example, a projection type liquid crystal display or a liquid crystal projector.

The information processing device 2 includes an information processing unit 20, a storage unit 21, and a voltage control unit 22. The information processing device 2 appropriately corrects the image information displayed on the liquid crystal panel 3, converts the corrected image information into a voltage for displaying on the liquid crystal panel 3, and controls the liquid crystal panel 3.

Each component of the information processing circuit 2 may be composed of a digital or analog circuit such as a processing circuit and a storage circuit. These may be general-purpose processing circuits such as CPU (Central Processing Unit), or may be configured as ICs (Integrated Circuitry) for specific applications such as ASIC (Application Specified Integrated Circuitry).

When a general-purpose processing circuit is used, information processing by software may be concretely realized by using hardware resources. In this case, a program related to software may be stored in a storage that is a non-temporary medium, or in a storage circuit having a memory such as SRAM (Static Random Access Memory) or DRAM (Dynamic Random Access Memory).

The information processing unit 20 corrects the input image information and outputs it. The information processing unit 20 includes a scroll detection unit 200, a boundary detection unit 201, and a correction unit 202. The image information is defined in a predetermined color space, for example, an RGB color space, and is information having a signal for each of R, G, and B colors. The color space is not limited to RGB, and may be any color space such as Lab, Luv, and XYZ. When the image information is information for each color, the information processing unit 20 corrects each color and outputs the image information, and based on this image information, the voltage control unit 22 determines the color of the liquid crystal panel 3. The voltage may be controlled for each element. The arrangement of colors in the output pixels may be, for example, a bayer arrangement, but the arrangement is not limited to this.

In the following, the terms black image and white image are used, but this may be rephrased as the pixel value in each color component. For example, when the RGB color space is used, the pixel value of R, the pixel value of G, and the pixel value of B may be processed respectively.

Further, the input image information, that is, the image information to be corrected may be the color information already gamma-corrected. In addition, it may be image information immediately before projection after signal processing such as necessary filter processing has been performed.

The scroll detection unit 200 detects a moving object in the image information. A moving object is, for example, a moving object in an image that moves relative to the background. This moving object may have a darker color than the background. For example, the contour of the moving body may be black, or the moving body itself may be black.

The boundary detection unit 201 detects the boundary in the moving object detected by the scroll detection unit 200 in the image information. The boundary may be detected as, for example, the position of a pixel. In this case, the pixel constituting the boundary is referred to as a boundary pixel. The setting of the boundary will be described in detail later.

The correction unit 202 corrects and outputs at least one pixel value of the boundary pixel detected by the boundary detection unit 201 and its peripheral pixels.

The storage unit 21 stores data and the like required by the information processing device 2. The storage unit 21 may include, for example, a frame memory 210.

The frame memory 210 stores image information for each frame. The scroll detection unit 200 detects a moving object by detecting the difference between the images using the past image information stored in the frame memory 210, for example, the image information of the previous frame, with respect to the image information of the current frame. Detect.

The voltage control unit 22 controls the voltage applied to the liquid crystal molecules of the liquid crystal panel 3 based on the corrected image information output by the correction unit 202. By controlling the inclination of the liquid crystal molecules corresponding to each pixel of the liquid crystal panel 3 by the voltage controlled by the voltage control unit 22, the output of the image on the display device 1 is realized.

As described above, the liquid crystal panel 3 emits light of various brightness by changing the light shielding state of the liquid crystal from the light emitting unit by the voltage controlled by the voltage control unit 22. As described above, the intensity of this light (the height of the applied voltage controlled by the voltage control unit 22) may correspond to each of the RGB signals. In this case, the liquid crystal panel 3 appropriately projects the light of each color by providing the filter of the color corresponding to RGB. Of course, the same applies to the case where another color space is used as an output.

FIG. 5 is a flowchart showing the processing of the information processing unit 20 according to the embodiment.

First, the scroll detection unit 200 detects scrolling in the image information (S10). This scroll detection is a process of detecting whether or not a moving object (moving object) exists in the image. By this processing, it is determined whether or not the pixel in the image information is a moving object.

Next, the boundary detection unit 201 executes the detection of the boundary in the image information (S20). This boundary detection is a process of detecting and extracting boundary pixels indicating boundaries in an image. By this processing, it is determined whether or not the pixel in the image information is a boundary pixel.

Next, the correction unit 202 corrects the pixel value of each pixel of interest when the pixel belongs to a moving object and constitutes a boundary (S30). It should be noted that not only the boundary pixel but also the pixel close to at least one boundary may be corrected. By correcting this pixel value, the influence of the above-mentioned lateral electric field on the image and the moving image is suppressed.

Next, the voltage control unit 22 generates a voltage to be applied to the liquid crystal molecules of the liquid crystal panel 3 based on the corrected image information, and applies the voltage to the liquid crystal panel 3 (S40). By applying the voltage controlled in this way to the liquid crystal molecules, deterioration of the image is suppressed.

Each process described above will be described in detail below by explaining the operation of each element of the information processing unit 20.

First, the scroll detection method for moving objects in the scroll detection unit 200 will be described. Scroll detection includes pixels in a predetermined area based on the pixel of interest in the image information of the current frame, and pixels in a predetermined area based on pixels separated by a predetermined distance (first distance) from the pixel of interest in the past frame. Is compared and executed.

By calculating the pixel to be the scroll detection target included in the image information as the pixel of interest, the desired pixel can be the target of scroll detection. For example, all the pixels of the image information may be the pixels of interest, or the pixels excluding the edges may be the pixels of interest. Not limited to this, an arbitrary area may be set as a scroll detection target area, and pixels belonging to the target area may be set as a pixel of interest.

FIG. 6 is a diagram showing a part of image information for explaining an example of scroll detection according to an embodiment. As shown in FIG. 6, the image information includes a plurality of pixels. The pixel of interest is a pixel indicated by a diagonal line (a pixel described as 10). Further, it is assumed that scroll detection is performed in a region of 4 × 4 as shown in the figure with respect to the predetermined area and a distance of 4 dots on the left side (predetermined direction described above).

The scroll detection unit 200 detects scrolling by comparing the pixel value of the previous frame stored in the frame memory 210 with the pixel value of the current frame. As shown in FIG. 6, for convenience of explanation, the pixels with reference to the pixel of interest in the current frame are set to 1 to 16, and the pixels with reference to the pixels separated by 4 dots in the predetermined direction in the previous frame from the pixels of interest are used as the reference. Is 1'~ 16'. These pixel values are set as I01, I02, ..., I16, I'1, I'2, ..., I'16, respectively.

The scroll detection unit 200 detects scrolling based on the values of I01 to I16 and I'1 to I'16. As an example, the scroll detection unit 200 detects scrolling based on the degree of matching indicating how well these corresponding pixels match.

For example, the scroll detection unit 200 may detect scrolling by obtaining the sum of squares for each corresponding pixel as the evaluation value E as in Eq. (1). When E is smaller than the predetermined threshold value Eth, the scroll detection unit 200 may detect that the pixel of interest is a pixel in which the moving object is scrolled.

The evaluation is not limited to Eq. (1), but uses other statistics such as the sum of absolute values for each corresponding pixel, root mean square, root mean square, median difference, mode, and standard deviation. May be good.

As described above, this evaluation value is calculated for each distance with respect to the pixel of interest. If scrolling can be detected in a certain direction and at a certain distance with respect to the pixel of interest, it may be determined that the pixel of interest is a pixel that is a scrolled moving object, and the subsequent calculation may be omitted.

When comparing the values of the past pixels such as the previous frame and the pixels of the current frame, the scroll detection unit 200 may calculate the evaluation value by parallel calculation.

FIGS. 7A and 7B show an example of corresponding pixels when the predetermined area is set to the above 4 × 4 and the movement of a moving object with a first distance of 4 dots or less is detected. In these figures, the area represented by the dotted line indicates the area of the current frame, and the area represented by the solid line indicates the area of the previous frame. In these figures, it is a figure which shows the corresponding area when moving the distance within 4 dots in the left, the lower, the lower left direction from the previous frame to the present frame. For example, the scroll detection unit 200 may evaluate scrolling in a predetermined area deviated by a first distance with respect to a predetermined direction in this way.

When the predetermined direction is determined, the scroll detection unit 200 calculates the evaluation value with the predetermined area based on the target pixel separated by the first distance in this way. Of these, when it is determined that scrolling is performed in the evaluation between the target pixel and at least one target pixel, it may be determined that the pixel of interest is a pixel belonging to the moving object. For example, in the case of FIGS. 7A and 7B, a total of 24 evaluation values may be calculated and detected. As another example, when it is determined that the pixel is a moving object with one target pixel, it may be detected as a pixel belonging to the moving object.

Further, the scroll detection unit 200 may determine whether or not it is a moving object together with the result around the pixel of interest, instead of evaluating each pixel. For example, when it is determined that a pixel having a threshold value or more among a predetermined number of peripheral pixels is a moving body, the pixel of interest may be determined to be a pixel belonging to the moving body.

The predetermined direction may be, for example, a direction from the left side in the horizontal direction to the right side in FIG. 6 or the like. In this case, as described above, not only the left, lower, and lower left directions but also the upper and upper left directions may be evaluated. On the contrary, the upper and lower parts may be omitted, and scroll detection may be executed only in the lower left, left, and upper left directions.

The predetermined area and the first distance are shown as an example, and are not limited to the area and the distance as shown in the figure.

FIG. 8 is a flowchart showing the processing of the scroll detection unit 200 for a certain pixel of interest.

First, the scroll detection unit 200 extracts the pixel of interest from the input image information and calculates the evaluation value for the pixel of interest (S100). The detailed processing is as described above, and the evaluation value is acquired by comparing the pixel value in the predetermined region with respect to the pixel of interest and the pixel value in the predetermined region with respect to the target pixel first distance away from the pixel of interest. ..

Next, the scroll detection unit 200 compares the evaluation value with the threshold value (S102). Then, if the evaluation value is smaller than the threshold value, it is detected that the pixel of interest is a pixel belonging to the moving object (S104). In this process, as described above, a plurality of target pixels may be set for the pixel of interest, an evaluation value may be calculated for each target pixel, and detection may be executed from these values.

Then, the scroll detection unit 200 executes this detection on all the pixels of interest to be evaluated in the image information. This process may be executed by repeating the processes of S100 to S104, or may be executed by processing all or at least a part of the processes of S100 to S104 by parallel arithmetic.

In the above, the scroll detection unit 200 has performed scroll detection using past frames, but the present invention is not limited to this. For example, by analyzing the image information, scroll detection may be performed using only the pixel value of the current frame. As an example, even if the image information is clustered, the area judged to be a moving object is extracted, and the analysis is performed on the moving object area to determine the area in which the scrolling object is shown. good.

As another example, a sufficient amount of teacher data may be collected and a scrolling moving object may be detected using a model optimized by machine learning. In this way, scrolling may be detected only from the image information of the current frame. Further, instead of directly using the past frame, an algorithm such as comparing the feature amount of the past frame with the feature amount of the current frame may be used.

Further, although the scroll detection unit 200 has described the case where scrolling is detected from the current frame and the previous frame, scrolling may be detected by referring to more past frames. In this case, scroll detection may use a general technique already known, which is acquired from image information of a plurality of frames.

By using only the current frame, it is possible to reduce the frame memory. On the other hand, it is also possible to improve the detection accuracy by using a plurality of past frames.

When the scroll detection unit 200 detects scrolling as described above, it outputs that the pixel of interest is a pixel related to the scrolling moving object. This output may be output by setting a flag in the image information. The first distance is set to 4 dots in the above, but it can be set appropriately based on the device condition, environment, and the like. This first distance may be changed even if the device is the same, depending on the usage conditions and the like.

Next, the operation of boundary detection of the boundary detection unit 201 will be described. The boundary detection unit detects pixels that are boundaries in the image information. In the present disclosure, a boundary pixel is defined as a pixel having a small pixel value among pixels having a luminance value difference of a predetermined value or more from adjacent pixels or pixels separated by a predetermined number. The pixel separated by a predetermined number means, for example, a pixel separated by 2 pixels, 3 pixels, etc., but may indicate a pixel further separated depending on the resolution of the image information.

The boundary detection unit 201 detects the boundary based on the pixel values of the pixels separated by a predetermined distance (second distance) from the pixel of interest and the pixels between the pixel of interest and the pixel separated by the second distance. do.

The boundary detection unit 201 may execute the above processing for all the pixels included in the image information. In this case, the correction processing shown below is executed on the pixels in which the scroll is detected by the scroll detection unit 200 and the boundary is detected by the boundary detection unit 201. In this case, the processes of S10 and S20 in FIG. 5 may be executed in parallel, or the pixel to be corrected may be detected by taking the logical product of each result pixel.

Further, as another example, the boundary detection unit 201 may execute the above boundary detection on a pixel detected by the scroll detection unit 200 as a moving object. Then, the correction processing shown below is executed for the pixel detected by the boundary detection unit 201 as the boundary.

As yet another example, the order of boundary detection and scroll detection may be reversed, and scroll detection may be performed using the pixel detected as the boundary as the pixel of interest. That is, the order of S10 and S20 in FIG. 5 may be exchanged. In this case, the following correction processing may be executed for the pixel of interest that has detected scrolling.

FIG. 9 is a diagram schematically explaining a boundary detection method when the second distance is 1 dot. First, the boundary detection unit 201 confirms whether or not the pixel value of the pixel of interest is smaller than the first pixel value. When this pixel value is equal to or greater than the first pixel value, it is determined that the pixel of interest is not a boundary pixel, and the process proceeds to the evaluation of the next pixel of interest.

If the pixel value of the pixel of interest is smaller than the first pixel value, it is considered as a boundary candidate. Next, the pixel values of the pixels separated by the second distance in the predetermined direction, in this case, the pixel values of the adjacent pixels on the right side are referred to. When the pixel value of the adjacent pixel is larger than the second pixel value, the boundary detection unit 201 detects the pixel of interest as the boundary pixel.

Here, the first pixel value is a pixel value in which a pixel having a pixel value smaller than this value is a black pixel, and the second pixel value is a pixel having a pixel value larger than this value as a white pixel. It is a pixel value. As described above, when the pixel of interest is a black pixel and the second distance-distance target pixel is a white pixel, the boundary detection unit 201 detects that the pixel of interest is a boundary pixel.

On the other hand, in the image information, there are cases where the boundary is a moving object such as black or white that is not a pixel value between adjacent pixels, or the moving object moves quickly. In such a case, in the above-mentioned boundary detection, it should be determined that the boundary is a boundary, but it may not be detected as a boundary. Therefore, as shown below, the boundary detection unit 201 may detect the boundary by defining a gray pixel other than a black pixel and a white pixel and setting the second distance to 2 dots or more.

FIG. 10 is a schematic diagram for explaining other situations of boundary detection. In FIG. 10, as an example, the second distance is 2 dots. As shown in FIG. 10, focusing on the target pixel 2 dots away from the pixel of interest and the pixel in between, the boundary detection unit 201 detects whether or not the pixel of interest is a boundary pixel.

When the pixel value of the pixel of interest is equal to or less than the first pixel value and the pixel value of the target pixel separated by the second distance is larger than the second pixel value, the boundary detection unit 201 detects the pixel of interest as the boundary pixel. You may.

In addition to the above, the boundary detection unit 201 may further acquire the pixel value of the pixel existing between the pixel of interest and the target pixel. For example, as shown in FIG. 10, when the pixel adjacent to the pixel of interest is a gray pixel between the pixel of interest and the target pixel, the boundary detection unit 201 may detect the pixel of interest as the boundary pixel. .. The detection of gray pixels may be executed, for example, based on the difference between the pixel values of the pixel of interest and the adjacent pixels being larger than the third pixel value. As shown in FIG. 10, when the pixel of interest is black, the adjacent pixel is gray, and the target pixel is white, the boundary detection unit 201 may detect the pixel of interest as the boundary pixel.

Further, the boundary detection unit 201 may use as a determination criterion that the difference between the pixel values of the adjacent pixel and the target pixel is larger than the third pixel value, as shown by the dotted arrow in the figure. The third pixel value may be a pixel value having a value larger than the first pixel value, and may be a pixel value having a value smaller than the second pixel value.

The first pixel value, the second pixel value, and the third pixel value may be set as values unique to the device, and are automatically measured at the time of starting the device, etc., based on the installation environment of the device, etc. It may be a determined value.

FIG. 11 is a diagram showing still another example of boundary detection. As shown in FIG. 11, the second distance is not limited to 1 dot, 2 dot, and may be, for example, 3 dot, 4 dot, 5 dot, or the like.

For example, when the second distance is 3 dots, the pixel of interest is black, the target pixel separated by the second distance is white, the pixel between the pixel of interest and the target pixel, and the pixel adjacent to the pixel of interest and the pixel of interest. The difference in pixel value is larger than the third pixel value, and the difference in pixel value between the pixel between the pixel of interest and the target pixel and adjacent to the pixel of interest and the pixel adjacent to the target pixel is the third pixel. It may be detected as a boundary based on a value greater than the value.

Similarly, when the second distance is 4 dots or more, the boundary detection unit 201 can detect the boundary.

Further, for example, when the second distance is 2 dots, the boundary detection unit 201 first determines whether or not the pixel of interest is a boundary pixel in the relationship between the pixel of interest and the target pixel at a distance of 1 dot. May be determined. Then, if it is not determined to be a boundary pixel, then it may be determined whether or not it is a boundary pixel in the relationship between the pixel of interest and the target pixel at a distance of 2 dots.

The same applies when the second distance is 3 dots or more, and the boundary detection unit 201 sets pixels within the second distance in a predetermined direction from the pixel of interest as target pixels one after another, and the pixel of interest is a boundary pixel in relation to the target pixel. It may be determined whether or not it is, and the boundary pixel may be detected.

When the second distance is 3 dots or more, it is determined whether or not the difference between the pixel values is smaller than the third pixel value for the adjacent pixels in the predetermined direction of the pixel of interest. After that, for the pixels adjacent to the adjacent pixels, it is similarly determined whether or not the difference in the pixel value from the pixel of interest or the difference in the pixel value from the adjacent pixel is smaller than the third pixel value. When the pixel existing between the pixel of interest and the target pixel is a gray pixel, the boundary detection unit 201 detects that the pixel of interest is a boundary pixel. The determination based on the black, gray, and white thresholds does not have to be limited to the above processing, and may be any processing that is determined using a determination criterion and an algorithm that can be appropriately regarded as black, gray, and white.

In the above series of boundary detection processes, for example, after it is determined that the pixel of interest is a black pixel, the pixel value is scanned in a predetermined direction from the pixel of interest, and the pixel that becomes a white pixel within a maximum second distance is the target pixel. May be determined. For example, if the maximum second distance is 5 dots and the white pixel exists within 5 dots from the pixel of interest, the boundary detection unit 201 may set the pixel as the target pixel.

Further, when the pixel value of the adjacent pixel adjacent to the pixel of interest is smaller than the first pixel value, the boundary detection unit 201 determines that the pixel of interest is not a boundary pixel, and determines that the adjacent pixel is not a boundary pixel. The process may be repeated as a new pixel of interest.

FIG. 12 is a flowchart showing the process of detecting the boundary pixel by the boundary detection unit 201.

The boundary detection unit 201 first selects the pixel of interest and determines whether or not the pixel value of the pixel of interest is smaller than the first pixel value (S200). As for the selection of the pixel of interest, as described above, if scroll detection has already been performed, the pixels belonging to the scrolling moving object may be selected in order. Further, as another example, all or a part of the pixels of the image information may be selected in order.

When the pixel value of the pixel of interest is smaller than the first pixel value, that is, when it is determined that the pixel of interest is a black pixel (S200: YES), the pixel value of the target pixel that is a second distance away from the pixel of interest in a predetermined direction. Is larger than the second pixel value (S202).

When the pixel value of the target pixel is larger than the second pixel value, that is, when it is determined that the target pixel is a white pixel (S202: YES), the gray color described above describes the pixel between the target pixel and the target pixel. It is determined whether or not the condition of being a pixel is satisfied (S204). If the pixel of interest and the target pixel are adjacent pixels, the processing of S204 is skipped and the processing of S206 is executed.

When the pixel between the pixel of interest and the target pixel satisfies the gray condition (S204: YES), the boundary detection unit 201 detects the pixel of interest as a boundary pixel and outputs it (S206). In other cases (S200: NO, S202: NO, S204: NO), the boundary detection unit 201 does not detect the pixel of interest as the boundary pixel, selects the next pixel of interest, and repeats the process. After processing all the pixels to be selected as the pixel of interest, the boundary detection unit 201 ends the processing.

In the above, with respect to the pixel of interest which is a black pixel, the boundary pixel is detected by the target pixel which is a white pixel in a predetermined direction and the pixel value of the pixel existing between those pixels. Pixels on the opposite side of a predetermined direction of pixels may be considered. That is, the boundary detection unit 201 may further detect that the pixel of interest is a boundary pixel when the predetermined number of pixels on the opposite side of the pixel of interest in the predetermined direction are black pixels.

For example, the boundary detection unit 201 may execute boundary detection using a total of 7 pixels, that is, a pixel adjacent to the predetermined direction of the pixel of interest, a pixel of interest, and 5 pixels continuous in the predetermined direction of the pixel of interest. .. In this case, the pixels adjacent to the opposite side of the predetermined direction and the pixel of interest are black pixels, and of the five pixels existing in the predetermined direction, two consecutive pixels are white pixels (background color pixels), and black. When the transition is gray or white, the pixel of interest may be detected as a boundary pixel. In this way, it is also possible to detect the boundary pixel by using a specific pattern.

In the above, the case where the boundary is detected in the horizontal direction is described, but the boundary may be detected in the vertical direction as well.

The above-mentioned motion detection and boundary detection may be performed by using other methods. Any form may be used as long as the correction unit 202 can appropriately correct using the boundary pixels detected by the above method or another appropriate method.

Next, the processing of the correction unit 202 will be described.

FIG. 13 is a diagram schematically showing an example of the correction according to the embodiment. The correction unit 202 corrects the pixel value of the boundary pixel and the adjacent pixel adjacent to the boundary pixel in a predetermined direction. Here, in the above, the pixel having a value smaller than the first predetermined value is shown as a black pixel, and the pixel having a value larger than the second predetermined value is shown as a white pixel. These are not strictly pixels that indicate the minimum and maximum values of light intensity, and may include some errors, but in the following drawings, the drawings flipped to black and white are shown for explanation. I am using it.

Hereinafter, a pixel adjacent to a boundary pixel in a predetermined direction is referred to as an adjacent pixel.

As shown in FIG. 13, the correction unit 202 corrects the pixel value of the boundary pixel to be larger than the original pixel value, and corrects the pixel value of the adjacent pixel to be smaller than the original pixel value. For example, the correction unit 202 may correct the pixel value of the boundary pixel to a white pixel, that is, the maximum value of the pixel value. Further, the correction unit 202 may correct the pixel value of the adjacent pixel to a black pixel or a gray pixel, that is, the minimum value of the pixel value or the value of the third pixel value described above.

FIG. 14 is a diagram showing an example of the display of a moving object that scrolls in the direction opposite to the predetermined direction. The image information includes, for example, a state in which an equilateral triangle moves in the scroll direction. As shown in the figure, in the state of the left figure without correction, an afterimage is generated due to the influence of the lateral electric field of the adjacent pixels in the direction opposite to the orientation direction of the liquid crystal molecules.

On the other hand, in the state shown on the right after correction, the influence of the afterimage on the display can be reduced by setting the boundary pixel as a white pixel and the adjacent pixel as a gray pixel. By correcting the pixel values in this way, it is possible to display a natural image and make the boundaries of moving objects clear.

FIG. 15 is a flowchart showing the processing of the correction unit 202 according to the embodiment.

First, the correction unit 202 increases the pixel value of the boundary pixel (S300). For example, the correction unit 202 may correct the pixel value of the boundary pixel to a maximum value or a value larger than the second pixel value.

Next, the correction unit 202 reduces the pixel values of the adjacent pixels adjacent to the boundary pixels in a predetermined direction (S302). For example, the correction unit 202 may correct the pixel value of the adjacent pixel so that the pixel value of the predetermined gray pixel is smaller than the measure.

The correction unit 202 outputs image information including the pixel value corrected in this way. Then, the voltage control unit 22 outputs a signal for controlling the voltage to be applied to the liquid crystal display based on the image information output by the correction unit 202.

As described above, according to the present embodiment, in order to reduce the influence of the lateral electric field, the effect of the lateral electric field on the pixels connected in a predetermined direction is reset by correcting the white pixels, and the afterimage and the tailing phenomenon are caused. It becomes possible to suppress it. Further, by increasing the pixel value of the boundary pixel and decreasing the pixel value of the adjacent pixel, it is possible to suppress the decrease in luminance and contrast. According to this embodiment, since the pixel values are corrected for the boundary pixels and the adjacent pixels, it is possible to suppress the influence of afterimages and the like due to the lateral electric field without deteriorating the visibility of the other pixels.

In FIG. 14, the scroll direction is described as being completely opposite to the predetermined direction, but the scroll direction is not limited to this. For example, even if the scroll direction has a direction opposite to the predetermined direction as a positive component, the information processing apparatus 2 can similarly correct the boundary. In the example of FIG. 14, the scroll direction may be the upper left direction or the lower left direction. Even in such a direction, afterimages and the like in the display unit can be suppressed by the correction by the information processing apparatus 2 as well.

Further, when the scroll direction includes a positive component in a predetermined direction, it is not necessary to perform correction in particular because the influence of such an afterimage due to the lateral electric field is unlikely to occur. This can be realized by the processing to which the predetermined directions of the scroll detection unit 200 and the boundary detection unit 201 described above are applied.

Further, as shown in the above figure, the predetermined direction is not limited to the horizontal direction. In this case, the predetermined direction may be divided into the horizontal direction and the vertical direction in which the pixels are arranged. In scroll detection, it is possible to detect scrolling in the horizontal direction and the vertical direction by the same processing as the above-mentioned processing.

In boundary detection, the above processing in the horizontal direction may be executed in parallel in the vertical direction as well. Then, the correction unit 202 performs appropriate correction in the horizontal direction and the vertical direction with respect to the boundary pixel, so that appropriate processing can be performed regardless of the orientation of the liquid crystal. It will be possible.

The other correction methods in the correction unit 202 will be described below with some non-limiting examples.

FIG. 16 is a diagram showing another example of correction. As shown in FIG. 16, the pixel value of the boundary pixel may be determined by multiplying the white pixel value by a gain. This gain value may be a predetermined predetermined value, or may be a gain value acquired based on the difference between the boundary pixel and the adjacent pixel, or the boundary pixel and the background pixel value. Further, as a modification of FIG. 16, not only the boundary pixel value but also the pixel value of the adjacent pixel may be obtained by the gain.

By applying the gain in this way, it is possible to weaken the degree of emphasis of the contour of the scrolling object as compared with the above-described embodiment. Since there is a trade-off relationship between the degree of enhancement of the contour and the effect of suppressing the afterimage, it may be appropriately adjusted by the color of the background pixel, the gradation of the adjacent pixel at the boundary pixel transition, and the like. When the gain is applied in this way, the correction is made so that the pixel value of the corrected boundary pixel becomes larger than the pixel value of the corrected adjacent pixel, that is, the magnitude relationship similar to that of the above embodiment is maintained. Is executed.

17 and 18 are diagrams showing another example of correction. As shown in FIG. 17, the correction amount may be changed not by the white pixel value but by the pixel value of the background pixel. In such a case, the scroll detection by the scroll detection unit 200 and the boundary detection by the boundary detection unit 201 also execute the background pixel as a reference instead of the white pixel. Then, the pixel values of the boundary pixels and the adjacent pixels may be determined so as to match the pixel values of the background pixels. The same applies to FIG. 18 in which the pixel value of the background pixel is smaller than that in FIG.

As described above, even when the pixel value of the background pixel is smaller than that of the white pixel, it is possible to suppress the afterimage or the like displayed on the background pixel by performing the same correction.

FIG. 19 is a diagram illustrating a case where an adjacent pixel has a lower luminance value than a background pixel, for example, a gray pixel when the background pixel is a white pixel. The upper figure shows the state before correction, and the lower figure shows the state after correction. As shown in FIG. 19, the correction unit 202 corrects so that the boundary pixel is larger than the original pixel value and the adjacent pixel is smaller than the original pixel value. It should be noted that even in this case, the pixel value of the corrected boundary pixel is larger than the pixel value of the corrected adjacent pixel.

FIG. 20 is a diagram illustrating a case where adjacent pixels also have a lower luminance value than background pixels. As shown in FIG. 20, there may be a plurality of gray pixels between the boundary pixel and the target pixel. Similarly, in this case as well, by making the pixel value of the boundary pixel larger than the original and the pixel value of the adjacent pixel smaller than the original, it is possible to reduce the influence of the lateral electric field due to the black pixel.

FIG. 21 is a diagram showing another correction example in the case of FIG. 20. As shown in FIG. 21, the correction unit 202 may correct the pixels on both sides of the boundary pixel. Boundary pixels and adjacent pixels are corrected in the same manner as in FIG. On the other hand, the pixel adjacent to the boundary pixel on the opposite side in the predetermined direction raises the pixel value to the same pixel value as the boundary pixel. By doing so, it is possible to reduce the possibility that the influence of the lateral electric field affects the boundary pixels.

FIG. 22 is a diagram showing still another correction example in the case of FIG. 20. As shown in FIG. 22, the correction unit 202 largely corrects the pixel value up to the background color of the boundary pixel, and sets the adjacent pixel as the pixel value of the black pixel. Further, the pixel value between the adjacent pixel and the target pixel may also be the pixel value of the background color. By making such corrections, afterimages and the like can be suppressed more effectively and contours can be emphasized.

In the above, the correction process in the current frame by the correction unit 202 has been described. As another example, the correction unit 202 may execute the correction process in the subframe in the current frame.

FIG. 23 is a diagram showing subframes in the frame. For example, it is assumed that the image information in the Mth frame has the same pixel value as in FIG. 20 with reference to the boundary pixel. It is assumed that the third M frame includes a 0th subframe, a 1st subframe, a 2nd subframe, and a 3rd subframe. In such a case, the correction unit 202 may correct the image information in each subframe as follows.

FIG. 24 is a diagram showing an example of correction in the subframe. The horizontal axis is the position of the pixel, and the vertical axis is the pixel value. The dotted line indicates the pixel value before correction. In this way, in the 0th subframe, the correction unit 202 corrects the boundary pixel to be lower than the white pixel (background pixel) (for example, a value multiplied by a predetermined gain), and the pixel value of the adjacent pixel is the original pixel. Correct below the value.

In the first subframe, return to the original pixel value once.

In the second subframe, the correction unit 202 corrects the pixel value of the boundary pixel to the same level as the white pixel (background pixel) and the adjacent pixel to the same level as the 0th subframe.

In the third subframe, the correction unit 202 corrects in the same manner as in the 0th subframe.

In this way, by changing the correction amount for each subframe, the influence of the lateral electric field may be reduced and the visibility may be ensured.

FIG. 25 is a diagram showing another example of correction in the subframe. In the first subframe and the third subframe, the correction unit 202 makes corrections. For the first subframe, the boundary pixel and the adjacent pixel are corrected, and the correction unit 202 corrects the boundary pixel to be larger than the original pixel value, while the pixel value of the adjacent pixel is also large. to correct.

Then, for the third subframe, the correction unit 202 corrects the pixel value to be small so that the average value of the pixel values for each subframe of the adjacent pixel matches the pixel value of the adjacent pixel of the frame.

In this way, the correction unit 202 may perform correction for each subframe.

Also in FIG. 24, the correction unit 202 may make a large correction for adjacent pixels in consideration of visibility instead of reducing the pixel value. In the case of such processing, it is possible to suppress the influence of the lateral electric field as a frame to be small, so that the influence of the afterimage can be reduced by increasing the pixel value of the adjacent pixels as well. , It is possible to suppress the deterioration of visibility.

In all the examples, the correction unit 202 corrected the boundary pixels so as not to exceed the pixel value of the white pixels, but this is not limited to this.

FIG. 26 is a diagram showing an example in which the correction unit 202 further increases the effect of correction. For example, the correction unit 202 may specify a value larger than the white pixel value as the correction value of the boundary pixel. Then, this image information is output to the voltage control unit 22. Based on this pixel value, the voltage control unit 22 may control the voltage so as to apply a voltage larger than the voltage applied to the liquid crystal as white pixels to the boundary pixels. By applying a voltage larger than the white pixel value in this way, the influence of the lateral electric field can be further suppressed as compared with the white pixel value.

It should be noted that even in this case, a large voltage that would change the orientation of the liquid crystal molecules semi-permanently should not be applied.

In the above, the case where there is a moving object darker than the background in the bright background has been described, but the opposite may be true. In this case, by performing the same processing as described above, the front surface of the moving body in a predetermined direction is detected as pixels belonging to the moving body and boundary pixels. For the following corrections, it is possible to reduce the influence of the lateral electric field from the black pixels to the white pixels by performing the same processing in any case.

The above-mentioned embodiment may be in the following form.

(1)
Equipped with a storage circuit and a signal processing circuit,
The signal processing circuit is
Detects a moving object that scrolls with respect to the background in the image information,
Detecting the boundary of the moving object in the image information,
The pixel value of the boundary pixel, which is the boundary detected in the image information, is corrected.
Information processing equipment.

(2)
The signal processing circuit is
When the pixel value of the boundary pixel is smaller than the first pixel value, it is corrected to a value larger than the pixel value of the boundary pixel in the image information.
The information processing device according to (1).

(3)
The signal processing circuit is
The pixel value of the boundary pixel is corrected to the pixel value indicating the background.
The information processing device according to (2).

(Four)
The signal processing circuit is
The pixel value of the boundary pixel is corrected to the maximum value of the pixel value.
The information processing device according to (2).

(Five)
The signal processing circuit is
The pixel value of the boundary pixel is corrected to a value obtained by multiplying the maximum value of the pixel value by a predetermined ratio.
The information processing device according to (2).

(6)
The signal processing circuit further
The pixel value of the adjacent pixel adjacent to the boundary pixel is corrected to a value smaller than the pixel value of the adjacent pixel in the image information.
The information processing device according to (3).

(7)
The adjacent pixel is a pixel adjacent to the boundary pixel in a predetermined direction.
The information processing device according to (4).

(8)
The signal processing circuit is
With respect to the image information acquired for each frame, the pixel value is corrected for each subframe belonging to the frame.
The information processing device according to any one of (1) to (7).

(9)
The signal processing circuit is
In the frame, the average of the correction values corrected for each of the adjacent pixels in the subframe is corrected so as to be equal to the pixel value of the adjacent pixels in the image information.
The information processing device according to (8).

(Ten)
The signal processing circuit is
The image information is corrected for the pixel value for each component in a predetermined color space, and the pixel value is corrected.
The image information is acquired by synthesizing the corrected pixel values.
The information processing apparatus according to any one of (1) to (9).

(11)
The storage circuit includes a frame memory.
The signal processing circuit is
Scrolling is detected by comparing the image information of the current frame with the image information of the past frame stored in the frame memory.
The information processing apparatus according to any one of (1) to (10).

(12)
The signal processing circuit is
The pixel value of the pixel in a predetermined region based on the pixel of interest in the current frame and the pixel of the pixel in the predetermined region of the pixel at the first distance from the pixel of interest in the past frame. Scrolling in the pixel of interest is detected by comparing the pixel value with each other.
The information processing device according to (11).

(13)
The signal processing circuit is
When the pixel value of the pixel of interest in the image information is smaller than the first predetermined value and the pixel value of a pixel belonging to within a second distance in a predetermined direction from the pixel of interest is larger than the second pixel value, the attention is given. Detecting a pixel as the boundary pixel,
The information processing apparatus according to any one of (1) to (12).

(14)
The signal processing circuit is
When the difference between the pixel value of the adjacent pixel adjacent to the pixel of interest in the predetermined direction and the pixel value of the pixel of interest is larger than the third pixel value, the pixel of interest is defined as the boundary pixel. Detect,
The information processing apparatus according to (13).

(15)
The predetermined direction is the chiral direction.
The information processing apparatus according to (7) or (13).

(16)
The signal processing circuit is
When the pixel value of the pixel adjacent to the predetermined direction is smaller than the first predetermined value, the adjacent pixel is corrected in the same manner as the correction for the pixel value of the boundary pixel. do,
The information processing apparatus according to (7) or (13).

(17)
The information processing device is mounted on an IC (Integrated Circuitry).
The information processing apparatus according to any one of (1) to (16).

(18)
A control circuit that controls the voltage applied to the liquid crystal display based on the corrected image information output by the signal processing circuit.
The information processing apparatus according to any one of (1) to (17).

(19)
A control circuit that controls the voltage applied to the liquid crystal display based on the corrected image information output by the signal processing circuit.
Further prepare
The signal processing circuit is
The pixel value of the boundary pixel is corrected to a value larger than the voltage that gives the maximum value of the pixel value in the control circuit.
The information processing device according to (2).

(20)
It is equipped with a storage circuit, a signal processing circuit, a control circuit, and a liquid crystal panel.
The signal processing circuit is
Detects a moving object that scrolls with respect to the background in the image information,
Detecting the boundary pattern in the image information of the moving object,
The pixel value of the boundary pixel, which is the boundary detected in the image information, is corrected and corrected.
The control circuit is
Based on the corrected image information output by the signal processing circuit, the voltage applied to the liquid crystal belonging to the liquid crystal panel is controlled.
The liquid crystal panel is
The intensity of the emitted light is controlled based on the voltage value output from the control circuit.
Display device.

(twenty one)
By signal processing circuit
Detects a moving object that scrolls with respect to the background in the image information,
Detecting the boundary of the moving object in the image information,
The pixel value of the boundary pixel, which is the boundary detected in the image information, is corrected.
Information processing method.

(twenty two)
When executed by a signal processing circuit,
Detects a moving object that scrolls with respect to the background in the image information,
Detecting the boundary of the moving object in the image information,
The pixel value of the boundary pixel, which is the boundary detected in the image information, is corrected.
A program that executes the method.

The aspect of the present disclosure is not limited to the above-mentioned embodiment, but also includes various possible modifications, and the effect of the present disclosure is not limited to the above-mentioned contents. The components in each embodiment may be applied in appropriate combinations. That is, various additions, changes and partial deletions are possible without departing from the conceptual idea and purpose of the present disclosure derived from the contents specified in the claims and their equivalents.

1: Display device,
2: Information processing device,
20: Information processing department,
200: Scroll detector, 201: Boundary detector, 202: Correction,
21: Memory,
210: Frame memory,
22: Voltage control unit,
3: LCD panel,
30: Display panel, 31: Opposed substrate, 32: Liquid crystal molecule

Claims

Equipped with a storage circuit and a signal processing circuit,
The signal processing circuit is
Detects a moving object that scrolls with respect to the background in the image information,
Detecting the boundary of the moving object in the image information,
The pixel value of the boundary pixel, which is the boundary detected in the image information, is corrected.
Information processing equipment.
The signal processing circuit is
When the pixel value of the boundary pixel is smaller than the first pixel value, it is corrected to a value larger than the pixel value of the boundary pixel in the image information.
The information processing apparatus according to claim 1.
The signal processing circuit is
The pixel value of the boundary pixel is corrected to the pixel value indicating the background.
The information processing apparatus according to claim 2.
The signal processing circuit is
The pixel value of the boundary pixel is corrected to the maximum value of the pixel value.
The information processing apparatus according to claim 2.
The signal processing circuit is
The pixel value of the boundary pixel is corrected to a value obtained by multiplying the maximum value of the pixel value by a predetermined ratio.
The information processing apparatus according to claim 2.
The signal processing circuit further
The pixel value of the adjacent pixel adjacent to the boundary pixel is corrected to a value smaller than the pixel value of the adjacent pixel in the image information.
The information processing apparatus according to claim 3.
The adjacent pixel is a pixel adjacent to the boundary pixel in a predetermined direction.
The information processing apparatus according to claim 4.
The signal processing circuit is
With respect to the image information acquired for each frame, the pixel value is corrected for each subframe belonging to the frame.
The information processing apparatus according to claim 1.
The signal processing circuit is
In the frame, the average of the correction values corrected for each of the adjacent pixels in the subframe is corrected so as to be equal to the pixel value of the adjacent pixels in the image information.
The information processing apparatus according to claim 8.
The signal processing circuit is
The image information is corrected for the pixel value for each component in a predetermined color space, and the pixel value is corrected.
The image information is acquired by synthesizing the corrected pixel values.
The information processing apparatus according to claim 1.
The storage circuit includes a frame memory.
The signal processing circuit is
Scrolling is detected by comparing the image information of the current frame with the image information of the past frame stored in the frame memory.
The information processing apparatus according to claim 1.
The signal processing circuit is
The pixel value of the pixel in a predetermined region based on the pixel of interest in the current frame and the pixel of the pixel in the predetermined region of the pixel at the first distance from the pixel of interest in the past frame. Scrolling in the pixel of interest is detected by comparing the pixel value with each other.
The information processing apparatus according to claim 11.
The signal processing circuit is
When the pixel value of the pixel of interest in the image information is smaller than the first predetermined value and the pixel value of a pixel belonging to within a second distance in a predetermined direction from the pixel of interest is larger than the second pixel value, the attention is given. Detecting a pixel as the boundary pixel,
The information processing apparatus according to claim 1.
The signal processing circuit is
When the difference between the pixel value of the adjacent pixel adjacent to the pixel of interest in the predetermined direction and the pixel value of the pixel of interest is larger than the third pixel value, the pixel of interest is defined as the boundary pixel. Detect,
The information processing apparatus according to claim 13.
The information processing circuit is mounted on an IC (Integrated Circuitry).
The information processing apparatus according to claim 1.
A control circuit that controls the voltage applied to the liquid crystal display based on the corrected image information output by the signal processing circuit.
The information processing apparatus according to claim 1, further comprising.
A control circuit that controls the voltage applied to the liquid crystal display based on the corrected image information output by the signal processing circuit.
Further prepare
The signal processing circuit is
The pixel value of the boundary pixel is corrected to a value larger than the voltage that gives the maximum value of the pixel value in the control circuit.
The information processing apparatus according to claim 2.
It is equipped with a storage circuit, a signal processing circuit, a control circuit, and a liquid crystal panel.
The signal processing circuit is
Detects a moving object that scrolls with respect to the background in the image information,
Detecting the boundary pattern in the image information of the moving object,
The pixel value of the boundary pixel, which is the boundary detected in the image information, is corrected and corrected.
The control circuit is
Based on the corrected image information output by the signal processing circuit, the voltage applied to the liquid crystal belonging to the liquid crystal panel is controlled.
The liquid crystal panel is
The intensity of the emitted light is controlled based on the voltage value output from the control circuit.
Display device.
By signal processing circuit
Detects a moving object that scrolls with respect to the background in the image information,
Detecting the boundary of the moving object in the image information,
The pixel value of the boundary pixel, which is the boundary detected in the image information, is corrected.
Information processing method.
When executed by a signal processing circuit,
Detects a moving object that scrolls with respect to the background in the image information,
Detecting the boundary of the moving object in the image information,
The pixel value of the boundary pixel, which is the boundary detected in the image information, is corrected.
A program that executes the method.