JP3526249B2 - Display device motion detection method and display device - Google Patents

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image motion vector detecting method and display device in a matrix type display device having a large display screen, such as a ferroelectric liquid crystal display device or a plasma display device, which performs time division gray scale display. In particular, a method of detecting a motion vector for each block area of an image in a display device incorporating a mechanism for inserting a gradation or pulse for compensation between pixels causing a false contour of a moving image (block matching method) And a display device.

[0002]

2. Description of the Related Art In recent years, a ferroelectric liquid crystal display and a plasma display panel (hereinafter abbreviated as "PDP") have been attracting attention as a display capable of realizing a large screen, a large display capacity and multiple gradations.

In the above-mentioned PDP, for example, generally, one field (or one frame) period is divided into subfield (or subframe) periods which are a plurality of light emission blocks having different light emission times in advance, and each period is independent. ON / OF
A gradation display driving method using a time-division gradation display method in which gradation display is performed by the cumulative effect by combining F states is adopted.

Also, in the ferroelectric liquid crystal display, similarly, a gradation display driving method using a time division gradation display method has been adopted.

The gradation display driving method using the above-mentioned time division gradation display method is specifically as shown in FIG.
One field period includes eight subfield periods SF1 to SF1.
The sub-field periods SF1 to SF8 are divided into SF8.
Is further divided into an address period and a display period, and the ratio of the time widths of the display periods corresponding to these subfield periods SF1 to SF8 is set to 1: 2: 4: ... Independent display ON / OFF
By doing so, 256 gradations are realized.

However, in such a time division gray scale display system, as shown in FIG.
When displaying 7 ", the PDP is displayed in the first half of one field period.
The light emission period (the shaded portion in the figure represents the light emission period) is concentrated. On the contrary, when displaying the gradation level “128”, the light emitting period of the PDP is concentrated in the latter half.

Therefore, as shown in FIG. 35, when the object 112 having the brightness of the gradation level "128" moves in the background 111 having the brightness of the gradation level "127", the observer sees this object. Since the object 112 is followed by the eye, the movement from the image 112a to the image 112b is captured as the object 112. As a result, the object 112 has a gradation level “0” for the observer,
Phenomenon that seems to be composed of "128" and "255" brightness parts (hereinafter, this is referred to as "moving image false contour").
Will be called).

In other words, this false contour of a moving image is a new image quality problem that does not exist in a cathode ray tube and occurs in a PDP or the like which adopts a time division gray scale display method, and its definition is "a viewpoint on the screen of a display device. Distortion of an image observed when moving, which often appears in the contour portion of a moving image having gray scales, which is caused by the product of the pixel emission period length and the viewpoint moving speed, and the temporal variation of light emission. Dependence on the characteristics, accompanied by gradation and color disorder. "

Regarding the principle of generating such a false contour of a moving image, "Dynamic False Contours on PDPs-Fatal or Curable" of IDW '96 (Kobe International Conference 1996, 11, 27-29).
? ”Is explained by Mikoshiba et al.

On the other hand, as a countermeasure against this moving image false contour, for example, Japanese Patent Laid-Open No. 10-39828 discloses a method of inserting a compensation gradation value or a compensation pulse between gradation transitions in which a moving picture false contour occurs. .

The technique of this publication is intended to improve the false contour of a moving image of a video in a halftone display method and a display device for performing a halftone display by an intra-frame time division method, and displays an image. Therefore, the halftone display method has a plurality of predetermined light emitting blocks in each frame and displays a halftone by combining the light emitting blocks.

In the above-mentioned halftone display method, when the lighting pattern of the light emitting block of each pixel changes between consecutive frames, the change state is set in a predetermined light emitting block for each pixel in each frame. Accordingly, a light emitting block for predetermined brightness adjustment is added to or subtracted from each pixel.

Specifically, for example, FIG. 36 (a) (b)
As shown in (c), L (1) ≈L (3) >> L (2)
Therefore, if a dark line (DL) occurs at the boundary between the intermediate gradation levels 128 and 127, the dark line (DL) shown in FIG.
As shown in (b) and (c), when L (1)> L (3): L (1) ≧ L (2) + ΔL
(4) ≧ L (3) L (1) <L (3): L (1) ≦ L (2) + ΔL
(4) A stimulus value ΔL (4) by the equivalent pulse EPA (light emission block: subframe) is added so that ≦ L (3).

As a result, as shown in FIG. 37 (c), the stimulus value L (x) on the retina is the intermediate gradation level 128.
Stimulus value ΔL at L (2) at the boundary between
Since only (4) is added, the moving image false contour (color false contour) of the image can be improved.

On the other hand, a ferroelectric liquid crystal display or PDP
In this case, since a moving image is displayed, it is necessary to perform motion compensation inter-frame prediction and field prediction used in moving image coding.

As a method of motion-compensated inter-frame prediction used in the above-described moving picture coding, for example, as shown in FIG. 38, all motion vectors at a plurality of predetermined representative points are selected from the motion vectors in the screen. A method of generating a prediction signal by interpolating a motion vector at a pixel position is known.

Further, the field prediction is performed by, for example, FIG.
As shown in, the motion vectors MV1, MV2, MV3,
Prediction is performed by obtaining a prediction image in units of 16 × 8 half macroblocks by the MV4 and finally combining odd lines and even lines.

The block matching method, the gradient method, the phase correlation method, etc. have been proposed so far as the principle method of the motion vector detection accompanying the above-described motion vector interpolation.
These are all well-known methods (for example, Yamauchi:
"Television system conversion", Journal of Television Society, Vol. Four
5, No. 12, pp. 1534-1543).

A number of methods for improving motion vector detection based on these have also been proposed.

For example, the "motion vector detection method" disclosed in Japanese Patent Application No. 8-186800 is an improvement regarding the block size of the block matching method, and it is possible to detect a motion with a large block size and a motion with a small size. By doing so, the detection accuracy is increased.

Furthermore, in the technique disclosed in Japanese Patent Laid-Open No. 9-200770, in addition to the conventional motion detection for each block area, the contour of a moving body as a feature point is extracted, and a portion including a representative point of the contour is extracted. A method of dividing the block area again and using the obtained value of the representative point motion vector for interpolation of the motion vector is adopted.

[0022]

However, in most of the above-described conventional motion detection methods for display devices, the motion vector is detected by dividing the image into block areas.

Therefore, when the selected block size is small, there is a problem that the detection tends to be inaccurate in an image including noise or an image having a periodic structure such as a striped pattern.

For these images, it is generally possible to improve the detection accuracy to some extent by increasing the block size. However, when the block size becomes large, there arises a problem that there is a trade-off that it becomes difficult to detect the motion of an image having a small shape.

Further, a more accurate motion vector detection method using large and small block sizes has been proposed, but there is a trade-off in that the circuit scale increases or the calculation time and the calculation amount increase.

Further, as in the technique of Japanese Patent Laid-Open No. 9-200770, the method of capturing the contour of the moving object in the image, detecting the representative point of the contour, and dividing again into the block area at that portion is independent. In an image in which a plurality of different motion vectors are held, it is possible that the number of comparison points increases and the processing cannot be performed within the calculation time limit. Therefore, there remains a problem in feasibility.

Further, in the conventional display device for performing time-division gray scale display, since the moving image false contour countermeasure mechanism and the motion detection mechanism are separated, there is a problem in that the circuit scale is increased. ing.

The present invention has been made in view of the above-mentioned conventional problems, and an object of the present invention is to prevent an increase in circuit scale and shorten motion vector detection in a display device having a moving image false contour countermeasure mechanism. It is an object of the present invention to provide a display device motion detection method and a display device that can be performed in time.

[0029]

In order to solve the above-mentioned problems, a motion detection method for a display device according to the present invention displays halftones by lighting the same pixel a plurality of times within one field period during image display. In addition, in a motion detection method of a display device in which a gradation for compensation is inserted in a pixel in which a false contour of a moving image is generated, a screen is divided into a plurality of block regions, and a motion vector is detected for each divided region. , The inter-frame signals or the inter-field signals are compared with each other, and the gradation for compensation is inserted into the pixel in which the moving picture false contour occurs based on the gradation transition pattern table in which the moving picture false contour appears in advance, and It is characterized in that the motion vector for each divided block area is detected based on the gradation transition pattern table.

In the display device of the above invention, when an image is displayed, the same pixel is turned on a plurality of times within one field period to display a halftone, and a gradation for compensation is provided to a pixel in which a false contour of a moving image is generated. Is inserted.

Further, when the gradation for compensation is inserted into the pixel in which the false contour of the moving picture is generated, it is performed based on the gradation transition pattern table in which the false contour of the moving picture appears in advance.

That is, the gradation transition pattern table in which the moving image false contour appears is a table in which the gradation transition in which the moving image false contour appears is characterized from the image data in advance.

Therefore, when inserting the gradation for compensation into the pixel in which the false contour of the moving image is generated, by referring to this gradation transition pattern table, the position where the gradation for compensation is inserted can be easily grasped. . Therefore, it is not necessary to calculate every time whether or not the gradation relationship of the pixel is a pixel in which a false contour of a moving image is generated. As a result, the number of data comparisons can be reduced, and the processing time for inserting the gray scale for compensation can be shortened.

On the other hand, in the above-described motion detection method for the display device, the motion vector is detected for each divided area.

Then, the motion vector for each of the divided block areas is detected based on the above gradation transition pattern table.

That is, in the conventional block matching type motion detection method, since sufficient motion detection accuracy is not ensured, image data comparison by a plurality of block sizes is performed by other mechanisms, and as a result, the motion detection mechanism is performed. There is a problem that the circuit scale is increasing only in the part.

In addition to the above problems, in a display device which displays an image by displaying a halftone by lighting the same pixel a plurality of times within one field period, a moving image generated when a moving image is displayed is displayed. With respect to the false contour, the method of incorporating the compensation gradation insertion mechanism as a mechanism different from the above-mentioned motion detection mechanism is adopted, which causes a problem that the circuit scale is further increased.

However, in the present invention, the inter-frame signal or the inter-field signal is compared, and the pixel for which the moving picture false contour occurs is compensated for based on the gradation transition pattern table in which the moving picture false contour appears in advance. The gradation is inserted, and the motion vector for each divided block area is detected based on the gradation transition pattern table.

Therefore, the motion vector detection is performed by using the gradation transition pattern table for compensation gradation insertion, which is provided as a countermeasure against the false contour of the moving image. Therefore, it is possible to prevent the circuit scale from increasing due to the motion detecting mechanism and the compensation gradation inserting mechanism being performed by different mechanisms.

Here, as described above, the gradation transition pattern table is a table in which the gradation transitions in which the false contour of the moving image appears from the image data are characterized. Therefore, for each divided block area, when an adjacent pixel having a gradation transition state in which a moving picture false contour appears in each block area moves between frames or fields, the floor where the moving picture false contour appears The location of the key transition state should also move.

Therefore, it is possible to detect the motion vector by comparing the inter-frame signals or inter-field signals in the divided block areas.

This shows that it is possible to detect the motion vector for each divided block area based on the gradation transition pattern table.

Further, in detecting the motion vector by this method, the amount of calculation can be reduced as compared with the conventional method, so that the calculation can be performed in a short time.

As a result, it is possible to provide a motion detection method for a display device having a moving image false contour countermeasure mechanism, which can prevent an increase in circuit scale and can detect a motion vector in a short time.

In order to solve the above-mentioned problems, the motion detection method for a display device of the present invention is the same as the motion detection method for a display device described above, wherein the gradation transition pattern table is a gradation where a moving image false contour appears. While the transition is characterized by each light emission error shape and represented by a code, a motion vector for each divided block area is detected when a compensation grayscale is inserted in a pixel in which a moving image false contour occurs. At this time, the above-mentioned code is characterized in that it is digitized and used.

According to the above-mentioned invention, the gradation transition pattern table is characterized by representing the gradation transition in which the moving picture false contour appears for each shape of the light emission error by a code, while displaying the pixel in which the moving picture false contour occurs. On the other hand, when inserting the gradation for compensation and when detecting the motion vector for each divided block area,
The above codes are digitized and used.

That is, the gradation transition in which the moving image false contour appears can be characterized for each shape of the light emission error. Therefore, in the gradation transition pattern table, the shape of the light emission error is characterized and represented by a code, so that the pattern can be easily standardized.

The code of this gradation transition pattern table is
The above codes are digitized and used when inserting a compensation gradation to a pixel in which a false contour of a moving image is generated and when detecting a motion vector for each divided block area.

Therefore, since the processing is performed using numerical values, the memory capacity can be reduced and the processing speed can be increased.

As a result, the comparison image data can be simplified, the calculation time can be shortened, and the circuit scale can be prevented from increasing. Further, by doing so, it is possible to reduce the error in motion detection due to the influence of noise, improve the accuracy of motion detection, and shorten the moving image false contour processing.

In order to solve the above-mentioned problems, the motion detection method for a display device of the present invention is the same as the motion detection method for a display device described above, wherein the gradation transition pattern table is a gradation where a false contour of a moving image appears. The transition is characterized by each emission intensity of the emission error and is represented by a code. When inserting a gradation for compensation to a pixel in which a false contour of a moving image occurs, and detecting a motion vector for each divided block area. The above code is characterized in that it is digitized and used.

According to the above invention, the gradation transition pattern table is formed by characterizing the gradation transitions in which the false contour of the moving image appears for each emission intensity of the light emission error, while displaying the pixels in which the false contour of the moving image occurs. The above-mentioned code is digitized and used when inserting a compensation gradation and for detecting a motion vector for each divided block area.

That is, the gradation transition in which the false contour of the moving image appears can be characterized for each emission intensity of the emission error. For this reason,
In the gradation transition pattern table, the emission intensity of the emission error is characterized and represented by a code, so that the pattern can be easily standardized.

The code of this gradation transition pattern table is
The above codes are digitized and used when inserting a compensation gradation to a pixel in which a false contour of a moving image is generated and when detecting a motion vector for each divided block area.

Therefore, since the processing is performed using numerical values, the memory capacity can be reduced and the processing speed can be increased.

As a result, the comparison image data can be simplified, the calculation time can be shortened, and the circuit scale can be prevented from increasing. Further, by doing so, it is possible to reduce the error in motion detection due to the influence of noise, improve the accuracy of motion detection, and shorten the moving image false contour processing.

Further, in order to solve the above-mentioned problems, the motion detection method of the display device of the present invention, in the motion detection method of the display device described above, directly compares and extracts the inter-frame signals or inter-field signals, and Is divided into a plurality of block areas, and a method for detecting a motion vector for each divided area is provided in parallel.

According to the above invention, a method of directly comparing and extracting the inter-frame signals or inter-field signals, dividing the screen into a plurality of block areas, and detecting a motion vector for each divided area, that is, a conventional method Are juxtaposed.

Therefore, in the motion vector detection according to the conventional method, a rough motion vector is detected and
When motion vector detection that requires accuracy is required,
After extracting the gradation transition in which the moving image false contour appears based on the gradation transition pattern table in which the moving image false contour appears that is created in advance and stored in the storage medium, the screen is divided into block regions each having a desired size. It is possible to detect a motion vector.

Therefore, the motion vector can be detected efficiently and accurately.

Further, in order to solve the above-mentioned problems, the motion detection method of the display device of the present invention, in the motion detection method of the above display device, when extracting the inter-frame signal or the inter-field signal, a color difference signal (Y), red signal (R), green signal (G), and at least one image signal among blue signals (B) are characterized by comparing respective inter-frame signals or inter-field signals.

According to the above invention, at the time of comparing the inter-frame signal or the inter-field signal, at least one of the color difference signal (Y), the red signal (R), the green signal (G) and the blue signal (B) is selected. One image signal is compared, a gradation for compensation is inserted in a pixel in which a false contour of a moving image is generated, and a motion vector for each divided block area is detected based on this gradation transition pattern table.

That is, the gradation transition pattern table shows a color difference signal (Y), a red signal (R), a green signal (G), and a blue signal (B).
Will be created for at least one of the image signals.

Therefore, gradation compensation can be performed for image signals having different color difference signals (Y), red signals (R), green signals (G), and blue signals (B), and is suitable for each image signal. Motion vector detection can be performed.

Further, in order to solve the above-mentioned problems, the motion detection method for a display device of the present invention is the same as the motion detection method for a display device described above, and when extracting the inter-frame signal or inter-field signal, a color difference signal is extracted. (Y), red signal (R), green signal (G), and blue signal (B), at least two or more signals are simultaneously extracted from each image signal, and a false contour of a moving image appears based on the gradation transition pattern table. It is characterized in that after extracting the gradation transition to be performed, the motion vector is detected for each of the divided block areas.

According to the above invention, when the interframe signal or interfield signal is extracted, each image signal of the color difference signal (Y), the red signal (R), the green signal (G), and the blue signal (B) is extracted. At least two or more signals are simultaneously extracted from the above, the gradation transition in which the false contour of the moving image appears is extracted based on the gradation transition pattern table, and then the motion vector is detected for each divided block area.

Therefore, as described above, one detection loop can be used for main motion vector detection, and the other two can be used for assisting or accurate motion vector detection.

As a result, the motion vector can be detected efficiently,
And it becomes possible to perform it with high accuracy.

Further, it is also possible to detect three motion vectors simultaneously for each image signal having different red signal (R), green signal (G) and blue signal (B). Furthermore, it is also possible to simultaneously perform four motion vector detections for each image signal having different color difference signals (Y), red signals (R), green signals (G), and blue signals (B).

Therefore, in these cases, it is possible to provide a motion detection method for a display device capable of detecting a motion vector in a short time without causing a deviation in the motion vector detection result for a color image. .

Further, in order to solve the above-mentioned problems, the motion detection method of the display device of the present invention, in the above-described motion detection method of the display device, when extracting the inter-frame signal or the inter-field signal, gradation It is characterized in that noise is removed by a low-pass filter (LPF) immediately before extracting a gradation transition in which a false contour of a moving image appears based on a transition pattern table.

According to the above invention, when the inter-frame signal or the inter-field signal is extracted, the low pass filter (LPF) is immediately before extracting the gradation transition in which the false contour of the moving image appears based on the gradation transition pattern table. To remove noise.

Therefore, it is possible to accurately remove noise from the image data, and further, to characterize the image data using the gradation transition pattern table in which the false contour of the moving image appears.

Further, in order to solve the above-mentioned problems, the display device of the present invention displays a halftone by displaying the same pixel a plurality of times within one field period in displaying an image, and a moving image false contour is generated. In a display device in which a gray scale for compensation is inserted into a pixel, a screen is divided into a plurality of block areas, and a motion vector is detected for each divided area, a gray scale in which a false contour of a moving image that is created in advance appears. A storage unit that stores the transition pattern as a gradation transition pattern table, and a moving image for each pixel of an image for each input frame signal or field signal based on the gradation transition pattern table stored in the storage unit. The classification means for classifying the appearance degree of the false contour and the motion vector for each block area with respect to the inter-frame signal or inter-field signal classified by the classification means. Each of the input frames from the motion detecting means for detecting a frame, the inter-frame signals or inter-field signals classified by the classifying means, and the motion vector detected for each block area by the motion detecting means. Compensation grayscale insertion means for inserting a compensation grayscale into a signal or a field signal is provided.

According to the above invention, the display device displays halftone by lighting the same pixel a plurality of times within one field period during image display, and compensates for a pixel in which a moving image false contour occurs. With the gradation of
The screen is divided into a plurality of block areas, and a motion vector is detected for each divided area.

Further, in this display device, storage means for storing a gradation transition pattern in which a false contour of a moving image that has been created in advance is stored as a gradation transition pattern table, and for each input frame signal or field signal, Based on the gradation transition pattern table stored in the storage unit, a classifying unit that classifies the appearance degree of the moving image false contour for each pixel of the image, and the inter-frame signal or inter-field signal classified by the classifying unit On the other hand, motion detection means for detecting a motion vector for each block area, each inter-frame signal or inter-field signal classified by the classification means, and motion vector detected for each block area by the motion detection means Therefore, a compensation gradation insertion means for inserting a compensation gradation into each of the input frame signals or field signals is provided.

Therefore, first, the classification means, for each input frame signal or field signal, on the basis of the gradation transition pattern table stored in the storage means, the appearance of the moving image false contour appears for each pixel of the image. Classify the degree.
Further, the motion detection means detects a motion vector for each block area for the inter-frame signal or inter-field signal classified by the classification means. Further, the compensation grayscale insertion means, based on the inter-frame signals or inter-field signals classified by the classification means, and the motion vector detected for each block area by the motion detection means, each input frame Compensation gradation is inserted into the signal or field signal.

As a result, a mechanism for extracting the gradation transition in which the moving picture false contour appears based on the gradation transition pattern table in which the moving picture false contour appears, which is created in advance and stored in the storage medium, for each divided block area. Mechanism to detect motion vector,
Further, it is possible to provide a display device provided with a mechanism for inserting a gradation for compensation into a pixel in which a false contour of a moving image is generated.

Further, in this display device, the above-described motion detection method of the display device is used.

Therefore, it is possible to provide a display device which can prevent an increase in circuit scale and can perform motion vector detection and motion picture false contour compensation in a short time.

[0081]

DESCRIPTION OF THE PREFERRED EMBODIMENTS [First Embodiment] The following will describe one embodiment of the present invention with reference to FIGS. 1 to 30.

The motion detecting method of the display device according to the present embodiment is, for example, a plasma display device (PDP: Plasma Display).
Panel) and ferroelectric liquid crystal display devices and other matrix type display devices. In this embodiment, a ferroelectric liquid crystal display device will be described as a display device.

In the above ferroelectric liquid crystal display device, as shown in FIG.
As shown in (a) and (b), one pixel is composed of red (R), green (G), and blue (B) dots. Conventionally, as shown in FIG. As shown, one pixel is composed of a total of 3 dots of red (R), green (G), and blue (B), but in the present embodiment, as shown in FIG. Since each dot for R), green (G), and blue (B) is divided into an area ratio of 2: 1, one pixel has a total of 6 dots.

Therefore, in the above-mentioned one pixel, depending on the display color, red (R), green (G), and blue (B) are turned on in the area ratio 2 portion or in the area ratio 1 portion. It is supposed to light up.

Further, in the above-mentioned ferroelectric liquid crystal display device, the frames or fields are composed of a plurality of lighting blocks having different light emitting periods, and screen display is carried out by time division gradation display.

Specifically, as shown in FIG. 3, the time dither in one field period, that is, the light emitting period ratio is, for example, 4 subfields (SF) constituted by 64 gradation display of 8: 4: 1: 8. ). Therefore,
These area ratio 2 or area ratio 1 portions (hereinafter, “sub-pixels”)
By adding the light on to ()) and the light emitting period, an arbitrary gradation value from 0 gradation to 63 gradation is displayed.

For example, when displaying the third gradation, as shown in FIG. 4A, at the time indicated by the light emitting period ratio of 1 displayed in SF3, the area ratio 2 and the area ratio 1 are displayed. And sub-pixels are turned on. by this,
2 + 1 = 3.

Further, when the 31st gradation is displayed, as shown in FIG. 4B, the sub-pixel having the area ratio of 1 is turned on at the time indicated by the emission period ratio of 8 displayed in SF1, S
The sub-pixels having the area ratio 2 and the area ratio 1 are lit at the time indicated by the light emission period ratio of 4 displayed by F2, and the area ratio 2 and the area ratio 2 at the time indicated by the light emission period ratio of 1 displayed by SF3. The sub-pixel with an area ratio of 1 is turned on, and further, it is displayed in SF4 8
The sub-pixel having the area ratio of 1 is turned on at the time indicated by the light emission period ratio of. By this, 8 × 1 + 4
X2 + 4x1 + 1x2 + 1x1 + 8x1 = 31.

Further, when displaying the 32nd gradation,
As shown in FIG. 4C, the sub-pixel having an area ratio of 2 is turned on at the time indicated by the emission period ratio of 8 displayed in SF1,
Further, the sub-pixel having an area ratio of 2 is turned on during the time indicated by the emission period ratio of 8 displayed in SF4. This gives 8 × 2 + 8 × 2 = 32.

Next, the ferroelectric liquid crystal display device according to the present embodiment, as shown in FIG. 1, comprises a motion detecting mechanism 10 and a compensation gradation insertion device 7 as compensation gradation insertion means.

The motion detecting mechanism 10 includes a low-pass filter (LPF) 1, a moving picture false contour shape classifier (hereinafter simply referred to as "false contour shape classifier") 2 as a classifying unit, a frame memory 3 and a block matching unit 4. And a motion detecting section 6 as a motion detecting means having a comparator 5.

The false contour shape classifier 2 determines that the relationship of the gradation arrangement between the pixels A and B adjacent in the horizontal direction or the vertical direction on the original image signal Po of the same frame or the same field in the moving image is a moving image false contour. Is to determine whether or not to cause. Similarly, the gradation sequence between the pixels A ′ and B ′ is also detected for the image of the next frame or the next field.

The false contour shape classifier 2 will be described in detail below.

In the ferroelectric liquid crystal display device used this time,
As shown in FIG. 5, a moving image false contour occurs at the time of gradation transition when the lighting bit is carried up for each gradation. When the bits forming the sub-field express gradation, the bit of size 1 which is the least significant bit from 1 gradation to 3 gradations is the area ratio of the dots composing the pixel of the ferroelectric liquid crystal display device. The sub-pixels are divided into 2: 1 and the sub-pixels are lit.

In the case where the above-described bit shift occurs, when shifting from a bit of size 1 to a bit of size 4, subjectively (eye tracking calculation) 2 is performed.
It seems that the gradation is lit darker than the original gradation. Also, when shifting from 4 bits to 8 bits, the gray level of 4 gray levels appears lower than the original gray level.

For example, FIG. 6 shows a moving image false contour shape which appears when there is a gradation transition from 03 gradation to 04 gradation in a part of a moving image, obtained from eye tracking calculation. Similarly, FIG. 7 shows a moving image false contour shape at the time of gradation transition from 08 gradation to 16 gradation, and FIG.
Indicates a gradation transition from 15 gradations to 16 gradations. In addition, in contrast to FIG. 8, FIG.
7 is a diagram showing a moving image false contour shape at the time of gradation transition to 5 gradations.

In the moving image false contour that looks like this, the intensity changes depending on the moving speed of the moving image. The moving speed of the ferroelectric liquid crystal display device used in this embodiment is, for example, 8 pixels / field in the right direction.

Further, when all the gradation transition combinations are examined and the ones in which the shapes of the moving picture false contours match each other are represented as the moving picture false contour shape classification values, the gradation transitions to the moving picture false as the gradation transition pattern table shown in FIG. A contour table is created. here,
FIG. 11 to FIG. 14 show an enlarged display of FIG. 10 divided into four parts.

“N” shown in the figure does not cause a false contour of a moving image or does not appear subjectively. Also, "D1,
“D2” is darker by 2 gradations than the original gradation value. Furthermore, “U1, U2” is brighter by 2 gradations than the original gradation value, and the moving image false contour shape at this time corresponds to FIG.

[0100] Further, "D3, U3, D4, U4" is a mixture of a part which is darker by 4 gradations or more and a part which is brighter than the original gradation value. Corresponds to FIGS. 8 and 9.

As the numerical values in the table shown in FIG. 10 increase, the emission shape and emission width of the false contour of the moving image, that is, the emission intensity increases. That is, this gradation transition pattern table is characterized by the light emission shape or light emission intensity of the moving image false contour.

In the present embodiment, N = 0, D1 = 1, N1 and D1 = 1 in the moving image false contour shape classification table obtained by the above method.
U1 = 2, D2 = 3, U2 = 4, D3 = 5, U3 = 6,
Numerical values 0 to 8 that simplify compression, such as D4 = 7 and U4 = 8
Is assigned and represented, and this is printed on a storage means such as a ROM to form a false contour shape classifier 2.

The operation of the motion detecting mechanism 10 having the above structure will be described. In this embodiment, the detection block area size is in the range of 16 × 16 pixels.

First, as shown in FIG. 1, the original image signal Po input from the terminal in is branched to the false contour shape classifier 2 side and the compensation gradation inserter 7 side.

In the false contour shape classifier 2, the original image signal Po is converted into the numerical values 0 to 8 for the gradation transition versus the moving picture false contour shape shown in FIG. It becomes the image output Pc and is input to the motion detection unit 6.
In this embodiment, unnecessary signals and noise can be omitted at this point, so that the motion detection accuracy is improved.

The current frame moving image false contour shape-based classification value image output Pc is input to the compensation gradation insertion unit 7 so that information on which position of the original image signal Po the compensation gradation is to be inserted is obtained. Transmitted.

Here, the frame memory 3 outputs the current frame moving image false contour shape classification value image output from the false contour shape classifier 2 (hereinafter referred to as “current frame classification value image output”).
Pc is output for one frame period or one frame preceding moving image false contour shape classification value image (hereinafter referred to as “previous frame classification value image output”) Pp.

Next, in the block matching 4, the motion detecting section 6 outputs the current frame classification value image output Pc and the frame memory 3 which are compressed and simplified by the false contour shape classifier 2.
Using the previous frame classification value image output Pp output from, the image is varied for each block region by the pixel movement amount of the horizontal pixel movement amount (H) and the vertical pixel movement amount (V), and the motion vector is detected. . As a result, a memory capacity equal to or smaller than the conventional memory capacity required for the block matching method is sufficient.

Here, the number of non-coincidences of the dynamic false contour shapes at the coordinates (X, Y) of the current frame classification value image output Pc and the previous frame classification value image output Pp is expressed by the following equation (1).

Σerr = Σ (Pp (X, Y) -Pc (X
+ H, Y + V)) (1) In the above formula (1), if err ≠ 0, the number of errors ERR = ERR +
The number of mismatches for each detection block is obtained by sequentially adding the number of errors as 1.

For example, the current frame classification value image output Pc (X1, Y1) = when the pixel movement amount is (H1, V1)
8 and the previous frame classification value image output Pp (X1 + H1, Y1
+ V1) = e when the moving image false contour shape value of 8 matches
rr is 0.

On the other hand, for example, although the false contour shapes are the same, the other pixel output Pc (X2, Y2) = 8 and the image output P
Since the false contour shape does not match with p (X2 + H1, Y2 + V1) = 4, by counting this as ERR = ERR + 1, the number of mismatches in the entire detection block region can be clearly obtained.

In the block area in which the motion is being detected, the vector candidate Vc and the corresponding Σerr are input to the comparator 5.

The comparator 5 detects the minimum value MINΣerr of Σerr by sequentially varying the vector candidates and selects it as the output.

Also, the comparator 5 determines the number F of appearances of gradation transitions associated with the false contour of the moving image of FIG. 10 in the block being detected.
g is received or detected, and a threshold value Σerr / Fg is calculated and output.

Further, in this embodiment, at this time, a threshold value (counter) is set for the number of mismatches in the detection block area, and when the threshold value is exceeded, the next pixel movement amount is sequentially given. As a result, the calculation time can be shortened.

By setting a threshold value for the minimum value, the reliability of that value can be managed.

For example, when the numerical value is not less than the threshold value, the output value is determined by referring to the result in the peripheral block 8 direction of the search block. Alternatively, it is possible to select an effective motion vector by adding another block matching motion detection mechanism, that is, a conventional block matching motion detection mechanism.

Regarding the operation of the motion detecting mechanism 10 described above,
The explanation will be made more easily using the image of a small block.

For example, as shown in FIG. 15A, 6 ×
The original image signal data Pop composed of the matrix of 5 is
It is assumed that the image signal data Po shown in FIG.

The relationship between the original image signal data Pop and the image signal data Po is a motion vector (1, 1), as can be seen from the thick black frame shown in FIG.

First, FIG. 15 (a) and FIG.
Each of the image signal data Pop and Po in (b) is replaced with the symbol of the gradation transition pattern table shown in FIG. For example, the original image signal data Pop shown in FIG. 15A is viewed horizontally from the upper left part.

As shown in FIG. 16, for example, [A1, B
1] = [10,20], the result is “U3” as shown in FIGS. This "U3" is shown in FIG.
As shown in (a), it is written at the position of B1.

Then, as shown in FIG. 16, the relationship between the two pixels [A2, B2] on the right of the pixel is [A2, B2].
= [20,20], it becomes "N". This "N"
Is described at the position of B2, as shown in FIG.

Similarly, for example, [A3, B3] =
Since it is [10, 5], it becomes “N”, and [A4, B4]
= [10,20], it becomes "U3".

By performing this for all the elements, the conversion table Pop 'is obtained as shown in FIG. Note that the image data shown in FIG.
When the image data shown in (a) is obtained, one pixel data is obtained from the two pixel data, so that the pixel data for one column is lost and the first column becomes "-".

Then, the conversion table Po 'shown in FIG. 17B is obtained in the same manner for the image signal data Po.

Next, the conversion tables Pop 'and Po' described by symbols such as "N" and "U3" are replaced with numerical values. As described above, since N = 0 and U3 = 6, as shown in FIGS. 18 (a) and 18 (b), it is converted into the previous frame classification value image output Pp and the current frame classification value image output Pc.

Next, the current frame classification value image output Pc
With respect to Pc (X + H, Y +
Coordinate shifts in order to calculate V). That is, the pixel shift amount (H, V) is shifted.

For example, FIGS. 19 (a) (b) (c) (d)
, (0,1) shift, (1,0) shift,
See the (0, -1) shifted and the (-1, -1) shifted.

Next, Pp (X,
When Y) −Pc (X + H, Y + V) is calculated, FIG.
(A) (b) (c) (d).

As can be seen from the above, the error number ERR for which err ≠ 0 is ERR = 4 in Pp-Pc (X + 0, Y + 1) shown in FIG.
ERR in Pp-Pc (X + 1, Y + 0) shown in (b)
= 2, Pp-Pc (X + 0, Y- shown in FIG.
In 1), ERR = 0, and Pp-Pc shown in FIG.
In (X-1, Y-1), ERR = 3. The same figure (a)
(B) (c) (d), Pp (X, Y) or Pc
If any of the edge parts of (X + H, Y + V) is "-", the operation result is "NG".
It is represented by.

Although three types of shifts have been described above, in the case of 16 × 16 pixels, all shifts for −30 <H, V <30 are actually considered. There is.

As a result, the pixel movement amount (0, -1) is obtained from ERR = 0, which is obtained by viewing the previous frame classification value image output Pp from the current frame classification value image output Pc. Therefore, the actual motion vector has the opposite direction and becomes vector (0, 1).

Here, as mentioned earlier, the actual motion vector in this case is (1,1).

That is, in the vector detection method of the present embodiment, it has been found that the smaller the comparison range, the more inaccurate vector detection cannot be performed.

Therefore, in the above description, a 6 × 5 matrix is used for the sake of easy understanding of the processing, but a vector as small as this 6 × 5 matrix cannot accurately detect a vector. It is highly likely. Therefore, in the present embodiment, it is preferable to perform the process with a 16 × 16 matrix or more.

Next, the compensation gradation inserter 7 will be described.

The compensation gradation inserter 7 extracts the gradation transition in which the moving picture false contour is generated, and in order to eliminate the moving picture false contour, what compensation gradation is used during the gradation transition involving the moving picture false contour. A calculator detects in advance whether or not it should be inserted, and stores this. Then, based on the accumulated data, the compensation gradation is inserted during the gradation transition accompanied by the false contour of the moving image.

Specifically, first, at a certain gradation transition point, a moving image false contour shape at a certain gradation transition as shown in FIGS. 6 to 9 is detected. Then, the gradation transition pattern table shown in FIG. 10 is obtained by classifying the moving image false contour shapes.

Based on this gradation transition pattern table, gradations by an appropriate redundant pattern, which will be described later and should be inserted to prevent false contours of moving images, are sequentially inserted into this gradation transition position, and the compensation gradation formula is calculated. Get in advance. As a result, as shown in FIG. 21, the compensation gradation value insertion rule for each moving image false contour shape group is obtained.

Here, in the figure, the first pixel is the motion vector from pixel A to pixel B at the gradation transition point (pixel A and pixel B) accompanying the false contour of the moving image. The position is the first pixel. Further, from the second pixel onward, the pixel B is counted in the forward direction from the motion vector.

In addition, (# 1) to (# 3) shown in FIG.
As shown in FIGS. 22 to 24, when the pixel division is 2: 1 and the time division is 8: 4: 1: 8, and 64 gradations are displayed, three redundant patterns as light emission bit combinations expressing the same gradation. # 1 to # 3 are shown.

For example, when expressing the eighth gradation, redundant pattern # 1 → 8 (16): 4 (): 1 (2):
8 (16) Redundant pattern # 2 → (16): 4 (8): 1 (2):
8 (16) redundant pattern # 3 → 8 (16): 4 (8): 1 (2):
There is a combination of (16). The circled part means lighting. In addition, the sub-pixels having an area ratio of 2 are shown in parentheses.

A method of inserting the compensation gradation value will be described with reference to FIG.

For example, when a pixel in which the 15th gradation (A) and the 16th gradation (b) are adjacent to each other in the same field moves at a moving image speed of 8 pixels / field, according to the gradation transition pattern table of FIG. Video false contour shape group is "U
4 ”, and as shown in FIG. 21, the numerical classification value is“ 8 ”.
Becomes

Therefore, the compensation gradation values at this time are, as shown in FIG. 21, A + 4 = 15 + 4 = 19 (# 2) gradations and A = 15 from the B pixel position in the moving direction.
(# 2) gradation, A = 15 (# 2) gradation.

Here, when the same operation is performed for the moving image false contour shape group “8” in other gradations, in the other moving image false contour shape group “8”, the general moving direction from the gradation transition point to the moving direction is obtained. To A + 4 (# 2), A
It was found that the false contour of a moving image becomes inconspicuous by inserting the compensation gradations of (# 2) and A (# 2).

FIG. 21 shows the same operation performed for all gradation transitions in which a moving picture false contour is generated, and the compensation formulas corresponding to each moving picture false contour shape group are detected.

Here, the method of inserting the compensation gradation value will be described more specifically.

As shown in FIGS. 25 (a) and 25 (b), when the moving image false contour shape is "D4" with respect to the adjacent pixels A and B, as can be seen from FIG. It becomes "7". At this time, the moving image speed is assumed to be 8 pixels / field.

At this time, FIG. 25 extracted and shown in FIG.
As shown in (c) and (d), at the first pixel adjacent to A, that is, at the original pixel position of B, the compensation gradation of “CA1” which is the gradation value of A-4 of the redundant pattern # 3 is set. The compensation gradation of “CA2” which is the gradation value of A of the redundant pattern # 3 is inserted to the right of the redundant pattern # 3.
The compensation gradation of "CA3" which is the gradation value of A of 3 is inserted. At this time, the gradation value is inserted in the current frame classification value image output Pc.

This makes it possible to compensate the false contour of the moving image.

On the other hand, as shown in FIG. 1, a low pass filter (LPF) 1 is provided in front of the false contour shape classifier 2. The low-pass filter (LPF) 1 is provided in order to improve the accuracy in classifying a moving image false contour shape and the accuracy of motion detection.

In this embodiment, for example, the sampling frequency is 74.25 MHz and the Blackman window is used as the window function. Furthermore, for example, a cutoff frequency of 32 MH
Motion detection is performed in steps of 4 MHz between z and 8 MHz.

In the present embodiment, a better motion detection result is obtained at a cutoff frequency of 12 MHz or less, which means that the removal of noise and the characterization of the moving image false contour shape have become clear. It suggests.

Now, the result of motion vector detection by the motion detecting mechanism 10 shown in FIG. 1 will be described.

FIG. 26 shows a test pattern created for detecting the motion of a hard body (still image level) at the still image level.
The structure of this multi-gradation circle has 14 gradations, 18 gradations, 34 gradations, and 38 gradations from the center to the outside in all 64 gradations.
The gradations indicate 40 gradations, 46 gradations, and 50 gradations, and when these gradations make transitions, false contours in moving images are all generated.

This is used as the image of the first frame, and an image obtained by moving the image shown in FIG. 26 by 2 pixels to the right and 5 pixels in the upward direction, that is, (2, −5) is created. The motion detection was performed using this as the image of the second frame. In this embodiment, the vertical axis is downward and positive.

FIG. 27 shows the motion detection result at this time.
For the detection block area size, motion detection is performed every 16 × 16 pixels. At this time, (2,-
It was possible to detect the motion vector of 5). That is, it has been found that accurate vector detection is possible with a 16 × 16 matrix.

Next, FIG. 30 shows the result of actual motion detection of the moving image as shown in FIG. This is a motion detection of a digital evaluation image mainly composed of a human face. In addition, FIG. 29 shows actual motion vectors collected in advance.

For the motion detection image, the motion detection mechanism 10 shown in FIG. 1 was used to perform preprocessing for motion detection of the input image signal with the LPF1 value set to 8 MHz.

The actual motion vector captures several feature points in the detection block area, and not all pixels in this area own this motion vector. Therefore, in comparison, about ± 5 was processed as an error. As a result, 97 for this image
% Good detection results were obtained.

In the detection result at this point, Σerr
Only the algorithm that selects the minimum value of is used,
The threshold idea is not included.

The detection error shown by the hatched portion in FIG. 30 that appears this time is resolved by using a mechanism for referring to the result of the block area around the error detection block area. Further, considering that there is a block area in which an error has been detected around the block area in which an error has been detected, only the detection result of the block area in which Σerr / Fg satisfies the condition is always adopted.

As described above, in the motion detecting method for a display device according to the present embodiment, the image signal is divided into a plurality of block areas, and a compensation-type insertion storage medium is provided in advance as a countermeasure against false contours. By performing the motion detection for each divided area by using, it is possible to perform simple and optimal motion vector detection.

As described above, in the ferroelectric liquid crystal display device of the present embodiment, during image display, the same pixel is turned on a plurality of times during one field period to display a halftone and a moving image false contour is generated. Gradation for compensation is inserted in the pixel.

Further, when the gradation for compensation is inserted into the pixel in which the false contour of the moving picture is generated, it is performed based on the gradation transition pattern table in which the false contour of the moving picture appears in advance.

That is, the gradation transition pattern table in which the moving image false contour appears is a table in which the gradation transition in which the moving image false contour appears is characterized from the image data in advance.

Therefore, when inserting the gradation for compensation into the pixel in which the false contour of the moving image is generated, by referring to this gradation transition pattern table, the position where the gradation for compensation is inserted can be easily grasped. . Therefore, it is not necessary to calculate every time whether or not the gradation relationship of the pixel is a pixel in which a false contour of a moving image is generated. As a result, the number of data comparisons can be reduced, and the processing time for inserting the gray scale for compensation can be shortened.

On the other hand, in the motion detecting method for the ferroelectric liquid crystal display device, the motion vector is detected for each divided area.

Then, the motion vector for each of the divided block areas is detected based on the above gradation transition pattern table.

That is, in the conventional block matching type motion detection method, since sufficient motion detection accuracy is not ensured, image data comparison by a plurality of block sizes is performed by other mechanisms, and as a result, the motion detection mechanism is performed. There is a problem that the circuit scale is increasing only in the part.

In addition to the above problems, in the ferroelectric liquid crystal display device which displays an image by displaying the halftone by lighting the same pixel a plurality of times within one field period, when displaying a moving image. Since a method of incorporating a compensation grayscale insertion mechanism as a mechanism different from the above motion detection mechanism is adopted for the false contour of the moving image generated in the above, there is a problem that the circuit scale is further increased. Was there.

However, in the present embodiment, the inter-frame signals or inter-field signals are compared with each other, and the pixels in which the moving picture false contour is generated are compensated based on the gradation transition pattern table in which the moving picture false contour appears in advance. And a motion vector for each divided block area is detected based on this gradation transition pattern table.

Therefore, the motion vector detection is performed by using the gradation transition pattern table for compensation gradation insertion, which is provided as a moving image false contour countermeasure. Therefore, it is possible to prevent the circuit scale from increasing due to the motion detecting mechanism and the compensation gradation inserting mechanism being performed by different mechanisms.

As described above, the gradation transition pattern table is a table in which the gradation transitions in which the false contour of the moving image appears from the image data are characterized. Therefore, for each divided block area, when an adjacent pixel having a gradation transition state in which a moving picture false contour appears in each block area moves between frames or fields, the floor where the moving picture false contour appears The location of the key transition state should also move.

Therefore, the motion vector can be detected by comparing the inter-frame signals or inter-field signals in the divided block areas.

This shows that it is possible to detect the motion vector for each divided block area based on the gradation transition pattern table.

Further, in the motion vector detection by this method, the amount of calculation can be reduced as compared with the conventional method, so that the calculation can be performed in a short time.

As a result, in the ferroelectric liquid crystal display device provided with the moving picture false contour countermeasure mechanism, it is possible to provide a motion detection method of the display device which can prevent the increase of the circuit scale and detect the motion vector in a short time. it can.

In the motion detection method for the ferroelectric liquid crystal display device according to the present embodiment, the gradation transition pattern table is characterized by characterizing the gradation transition in which the false contour of the moving image appears for each shape of the light emission error. While being represented by symbols such as “N”, “D1”, and “U2”, when a compensation gradation is inserted into a pixel in which a false contour of a moving image is generated, and a motion vector of each divided block area is detected. In doing so, the above-mentioned code is used by being digitized into 0 to 8.

That is, the gradation transition in which the false contour of the moving image appears can be characterized for each shape of the light emission error. That is, it is possible to form a pattern in which the shapes of the false contours of the moving image match each other.

Therefore, in the gradation transition pattern table, the shape of the light emission error is characterized and represented by a code, so that the pattern can be easily standardized.

Further, the symbols of this gradation transition pattern table are
The above codes are used by being digitized to 0 to 8 when inserting a gradation for compensation into a pixel in which a moving image false contour occurs and when detecting a motion vector for each divided block area. .

Therefore, since the processing is performed using numerical values, the memory capacity can be reduced and the processing speed can be increased.

That is, in the conventional motion vector detection method, 6 bits are required for one pixel in the case of 64 gradation display, but in the present embodiment, only 4 bits based on the display of 0 to 8 are required. do not need. Therefore, since motion vector detection can be performed with a small number of bits,
The memory capacity can be reduced and detection can be performed faster than before. Alternatively, since it is possible to process other signals with the surplus bits, the number of devices can be reduced.

As a result, the comparison image data can be simplified, the calculation time can be shortened, and the circuit scale can be prevented from increasing. Further, by doing so, it is possible to reduce the error in motion detection due to the influence of noise, improve the accuracy of motion detection, and shorten the moving image false contour processing.

In the motion detection method for the ferroelectric liquid crystal display device of the present embodiment, the gradation transition pattern table is characterized by characterizing the gradation transition in which the false contour of the moving image appears for each emission intensity of the emission error. On the other hand, the above code is digitized when inserting the gradation for compensation to the pixel in which the false contour of the moving image occurs and when detecting the motion vector for each divided block area. Used.

That is, the gradation transition in which the false contour of the moving image appears can be characterized for each emission intensity of the emission error. In other words, it is possible to form a pattern in which the light emission intensities such as the light emission width of the false contour of the moving image match.

Therefore, since the gradation transition pattern table characterizes the emission intensity of the emission error and is represented by a code, the pattern can be easily standardized.

Further, the symbols of this gradation transition pattern table are
The above codes are used by being digitized to 0 to 8 when inserting a gradation for compensation into a pixel in which a moving image false contour occurs and when detecting a motion vector for each divided block area. .

Therefore, since the processing is performed using numerical values, the memory capacity can be reduced and the processing speed can be increased.

As a result, the comparison image data can be simplified, the calculation time can be shortened, and the circuit scale can be prevented from increasing. Further, by doing so, it is possible to reduce the error in motion detection due to the influence of noise, improve the accuracy of motion detection, and shorten the moving image false contour processing.

Further, in the motion detecting method for the ferroelectric liquid crystal display device according to the present embodiment, when the inter-frame signal or the inter-field signal is extracted, the floor where the false contour of the moving image appears based on the gradation transition pattern table. The noise is removed by the LPF 1 immediately before extracting the key transition.

Therefore, it becomes possible to accurately remove noise from the image data and, further, characterize it by the gradation transition pattern table in which the false contour of the moving image appears.

Further, in the ferroelectric liquid crystal display device of the present embodiment, when displaying an image, the same pixel is turned on a plurality of times during one field period to display a halftone, and a pixel in which a false contour of a moving image occurs is displayed. On the other hand, a gradation for compensation is inserted, the screen is divided into a plurality of block areas, and a motion vector is detected for each divided area.

Further, in this ferroelectric liquid crystal display device, storage means such as a ROM (not shown) for storing a gradation transition pattern in which a false contour of a moving image appears in advance is stored as a gradation transition pattern table, and each input A false contour shape classifier 2 for classifying the appearance degree of a moving picture false contour for each pixel of an image based on a gradation transition pattern table stored in a storage unit for a frame signal or a field signal, and a false contour shape classification For each inter-frame signal or inter-field signal classified by the device 2, a motion detection unit 6 that detects a motion vector for each block area, and each inter-frame signal classified by the false contour shape classifier 2 or Based on the current frame classification value image output Pc which is an inter-field signal and the motion vector V detected for each block area by the motion detection unit 6, each input frame signal or frame A Rudo signal original image signal Po
On the other hand, a compensation gradation inserter 7 for inserting the compensation gradation is provided.

Therefore, first, the false contour shape classifier 2
Classifies the appearance degree of the moving image false contour with respect to each pixel of the image, based on the gradation transition pattern table stored in the storage means, with respect to the original image signal Po which is each input frame signal or field signal. To do.

Further, the motion detecting section 6 responds to the current frame classification value image output Pc and the previous frame classification value image output Pc which are the inter-frame signal or inter-field signal classified by the false contour shape classifier 2. , The motion vector V is detected for each block area.

Further, the compensation gradation inserter 7 outputs the current frame classification value image output Pc which is each inter-frame signal or inter-field signal classified by the false contour shape classifier 2 and the block area in the motion detecting section 6. Motion vector V detected for each
Therefore, the compensation gradation is inserted into the original image signal Po which is the input frame signal or field signal.

As a result, a mechanism for extracting the gradation transition in which the false contour of the moving image appears based on the gradation transition pattern table in which the false contour of the moving image that is created in advance and stored in the storage medium, and for each divided block area Mechanism to detect motion vector,
Further, it is possible to provide a ferroelectric liquid crystal display device having a mechanism for inserting a gradation for compensation into a pixel in which a false contour of a moving image is generated.

Further, in this ferroelectric liquid crystal display device, the motion detecting method of the ferroelectric liquid crystal display device described above is used.

Therefore, it is possible to provide a ferroelectric liquid crystal display device capable of preventing an increase in circuit scale and performing motion vector detection and motion picture false contour compensation in a short time.

[Second Embodiment] The following will describe another embodiment of the present invention in reference to FIG. For convenience of explanation, members having the same functions as those shown in the drawings of the first embodiment will be designated by the same reference numerals, and the description thereof will be omitted.

Motion detection mechanism 2 of display device of this embodiment
As shown in FIG. 31, reference numeral 0 indicates that the movement detecting mechanism 10 of the first embodiment shown in FIG.

On the side of the added motion detector 22, the terminal i
The original image signal Po input from n is received, and the motion vector is detected for each block area.

By providing this mechanism, the motion detector 22 first roughly detects the main motion. At this time, if there is a detection block in which Σerr or Σerr / Fg does not satisfy the output condition, the motion detector 21 can be operated as an assistant for the detection block portion.

On the contrary, the motion detector 21 can be used as a main motion detector and the motion detector 22 can be used as an assistant. It is also possible to make the motion detectors 21 and 22 function at the same time.

As described above, in the motion detecting method for the ferroelectric liquid crystal display device according to the present embodiment, the inter-frame signals or inter-field signals are directly compared and extracted, and the screen is divided into a plurality of block areas. A method of detecting a motion vector for each area, that is, a conventional motion detector 22 is provided in parallel.

Therefore, in this motion vector detection by the conventional method, a rough motion vector is detected and
When motion vector detection that requires accuracy is required,
After extracting the gradation transition in which the moving image false contour appears based on the gradation transition pattern table in which the moving image false contour appears that is created in advance and stored in the storage medium, the screen is divided into block regions each having a desired size. It is possible to detect a motion vector.

Therefore, the motion vector can be detected efficiently and accurately.

[Third Embodiment] The following will describe another embodiment of the present invention in reference to FIG. For convenience of description, members having the same functions as the members shown in the drawings of the first and second embodiments are given the same reference numerals and the description thereof will be omitted.

Motion detection mechanism 3 of display device of this embodiment
32. As shown in FIG. 32, the motion detection mechanism 10 shown in FIG. 32 has three stages, and each detection loop realizes motion detection of a red (R) signal, a green (G) signal, and a blue (B) signal. To do. Before being input to each LPF 1, ...

By simultaneously performing motion detection in three stages in this configuration, motion detection can be performed simultaneously with three different types of image signals. Therefore, it is possible to prevent a deviation from occurring in the detection result.

As a result, an accurate motion detection result can be obtained.

In this embodiment, like the motion detecting mechanism 20 shown in the second embodiment, a certain detection loop is used as the main motion detector to calculate the threshold value Σerr / Fg. At this time, it is possible to detect the detection block area whose threshold does not satisfy the condition in the remaining detection loops.

The motion detecting mechanism 30 can improve the detection result especially when the total number of gradation transition points accompanied by a moving image false contour is small in the detection block area.

For example, in a certain detection block area, the red (R) signal makes a transition between 48 gradations and 51 gradations, and the green (G) signal makes a transition between 32 gradations and 36 gradations, thereby producing a moving image. There are a few gradation transition points with false contours,
Also, consider a case where the blue (B) signal transits from 30 to 33 gradations and there are 20 gradation transition points accompanied by a false contour of a moving image.

In this case, with the red (R) signal, since there is no gradation transition point accompanying a false contour of the moving image, motion detection cannot be performed. Further, in the green (G) signal, since there are few grayscale transition points accompanied by a moving picture false contour, the number of grayscale transitions accompanied by a moving picture false contour is increased or decreased in the other frame detection area. In this case, many vector candidates are selected.

At this time, there are 20 grayscale transition points accompanied by the false contour of the moving image of the blue (B) signal, and the features of the appearance shape are clear.

Therefore, accurate motion detection can be performed within this detection block area.

In this embodiment, the red signal (R),
For each image signal of the green signal (G) and the blue signal (B), the gradation transition in which the moving image false contour appears is generated based on the gradation transition pattern table in which the moving image false contour appears that is created in advance and stored in the storage medium. Although extracted, it is not necessarily limited to this.

For example, in addition to the above image signals, the color difference signal (Y) is also created based on the gradation transition pattern table in which the dynamic false contour appears in advance and stored in the storage medium. Transitions can be extracted.

As described above, in the motion detecting method for the ferroelectric liquid crystal display device according to this embodiment, when the inter-frame signal or inter-field signal is extracted, the color difference signal (Y),
At least two or more signals are simultaneously taken out from each image signal of the red signal (R), the green signal (G), and the blue signal (B), and the gradation in which a false contour of a moving image, which is created in advance and stored in a storage medium, appears After extracting the gradation transition in which the false contour of the moving image appears based on the transition pattern table, the motion vector is detected for each of the divided block areas.

Therefore, as described above, one detection loop can be used for main motion vector detection, and the other two can be used for assisting or accurate motion vector detection.

As a result, the motion vector can be detected efficiently,
And it becomes possible to perform it with high accuracy.

Further, it is also possible to detect three motion vectors simultaneously for each image signal having different red signal (R), green signal (G) and blue signal (B). Furthermore, it is also possible to simultaneously perform four motion vector detections for each image signal having different color difference signals (Y), red signals (R), green signals (G), and blue signals (B).

Therefore, in these cases, there is provided a motion detection method for a ferroelectric liquid crystal display device capable of detecting a motion vector in a short time without causing a deviation in the motion vector detection result for a color image. can do.

Further, in the motion detecting method for the ferroelectric liquid crystal display device of this embodiment, when comparing the inter-frame signal or the inter-field signal, the color difference signal (Y), the red signal (R), the green signal ( G) and at least one image signal of the blue signal (B) is compared, a gradation for compensation is inserted into a pixel in which a false contour of a moving image is generated, and the pixel is divided based on this gradation transition pattern table. It is possible to detect the motion vector for each block area.

That is, at this time, the gradation transition pattern table is created for at least one image signal of the color difference signal (Y), the red signal (R), the green signal (G), and the blue signal (B). It will be.

Therefore, gradation compensation can be performed for image signals having different color difference signals (Y), red signals (R), green signals (G), and blue signals (B), and is suitable for each image signal. Motion vector detection can be performed.

[0233]

As described above, the motion detection method for a display device according to the present invention compares each inter-frame signal or inter-field signal and based on a gradation transition pattern table in which a false contour of a moving image appears in advance. This is a method in which a gradation for compensation is inserted in a pixel in which a false contour of a moving image is generated, and a motion vector for each divided block area is detected based on this gradation transition pattern table.

Therefore, by referring to this gradation transition pattern table when inserting the gradation for compensation into the pixel in which the false contour of the moving image is generated, it is possible to easily grasp the position where the gradation for compensation is inserted. it can. Therefore, it is not necessary to calculate every time whether or not the gradation relationship of the pixel is a pixel in which a false contour of a moving image is generated. As a result, the number of data comparisons can be reduced, and the processing time for inserting the gray scale for compensation can be shortened.

On the other hand, in the above-described motion detecting method for the display device, when the motion vector for each divided block area is detected, the gradation transition pattern table is used. Therefore, it is possible to prevent the circuit scale from increasing due to the motion detecting mechanism and the compensation gradation inserting mechanism being performed by different mechanisms.

Further, in detecting the motion vector by this method, the amount of calculation can be reduced as compared with the conventional method, and therefore the calculation can be performed in a short time.

As a result, it is possible to provide a motion detection method for a display device having a moving picture false contour countermeasure mechanism, which can prevent an increase in circuit scale and can perform motion vector detection in a short time. Play.

As described above, the motion detection method for a display device of the present invention is the same as the motion detection method for a display device described above, wherein the gradation transition pattern table emits a gradation transition in which a false contour of a moving image appears. While each error shape is characterized and represented by a code, when inserting a compensation gradation to a pixel in which a moving image false contour occurs and when detecting a motion vector for each divided block area The above codes are the methods used after being digitized.

Therefore, in the gradation transition pattern table, since the shape of the light emission error is characterized and represented by a code, it is possible to easily standardize the pattern.

The above codes are digitized and used when inserting a compensation gradation for a pixel in which a false contour of a moving image is generated and when detecting a motion vector for each divided block area. Therefore, the memory capacity can be reduced and the processing speed can be increased.

As a result, the comparison image data can be simplified, the calculation time can be shortened, and the circuit scale can be prevented from increasing. Further, by doing so, it is possible to reduce the error in motion detection due to the influence of noise, improve the accuracy of motion detection, and shorten the moving image false contour processing.

As described above, the motion detection method for a display device of the present invention is the same as the motion detection method for a display device described above, wherein the gradation transition pattern table emits a gradation transition in which a false contour of a moving image appears. While each luminescence intensity of error is characterized and represented by a code, when inserting a gradation for compensation to a pixel in which a false contour of a moving image occurs and when detecting a motion vector for each divided block area Is a method in which the above code is digitized and used.

Therefore, in the gradation transition pattern table, since the emission intensity of the emission error is characterized and represented by a code, it is possible to easily standardize the pattern.

The above codes are digitized and used when inserting a compensation gradation into a pixel in which a false contour of a moving image is generated and when detecting a motion vector for each divided block area. Therefore, the memory capacity can be reduced and the processing speed can be increased.

As a result, the comparison image data can be simplified, the calculation time can be shortened, and the circuit scale can be prevented from increasing. Further, by doing so, it is possible to reduce the error in motion detection due to the influence of noise, improve the accuracy of motion detection, and shorten the moving image false contour processing.

Further, as described above, the motion detecting method of the display device of the present invention is such that, in the motion detecting method of the display device, the inter-frame signals or inter-field signals are directly compared and extracted, and a plurality of screens are displayed. Divide into block areas,
This is a method in which methods for detecting a motion vector for each divided area are arranged in parallel.

Therefore, when the motion vector detection according to the conventional method is used to detect a rough motion vector and the motion vector detection that requires accuracy is required, the motion picture falsely created in advance and stored in the storage medium is stored. After extracting the gradation transition in which the moving image false contour appears based on the gradation transition pattern table in which the contour appears, it becomes possible to detect the motion vector for each block area divided into a desired size of the screen. .

Therefore, the effect that the motion vector can be detected efficiently and accurately can be obtained.

As described above, the motion detection method for a display device of the present invention is the same as the motion detection method for a display device described above, and when the inter-frame signal or inter-field signal is extracted, a color difference signal (Y) , A red signal (R), a green signal (G), and a blue signal (B), at least one image signal is compared with each interframe signal or interfield signal.

Therefore, gradation compensation can be performed for image signals having different color difference signals (Y), red signals (R), green signals (G), and blue signals (B), and each of the image signals can be compensated. This has the effect of being able to perform suitable motion vector detection.

As described above, the motion detection method for a display device of the present invention is the same as the motion detection method for a display device described above, but when the inter-frame signal or inter-field signal is extracted, a color difference signal (Y) , A red signal (R), a green signal (G), and a blue signal (B), at least two or more signals are simultaneously taken out, and a gradation in which a false contour of a moving image appears based on a gradation transition pattern table. This is a method of detecting a motion vector for each of the divided block areas after extracting the transition.

Therefore, as described above, one detection loop can be used for main motion vector detection, and the other two can be used for assisting or accurate motion vector detection.

As a result, the motion vector can be detected efficiently,
Moreover, there is an effect that it can be performed with high accuracy.

It is also possible to simultaneously detect three motion vectors for each image signal having different red signals (R), green signals (G), and blue signals (B). Furthermore, it is also possible to simultaneously perform four motion vector detections for each image signal having different color difference signals (Y), red signals (R), green signals (G), and blue signals (B).

Therefore, in these cases, it is possible to provide a motion detection method for a display device which can detect a motion vector in a short time without causing a deviation in the motion vector detection result for a color image. Has the effect.

Further, as described above, the motion detecting method of the display device according to the present invention, in the motion detecting method of the display device described above, displays the gradation transition pattern table when the inter-frame signal or the inter-field signal is extracted. Is a method of removing noise by a low-pass filter (LPF) immediately before extracting a gradation transition in which a false contour of a moving image appears based on.

Therefore, it is possible to remove noise from the image data, and moreover, to characterize the moving image false contour with the gradation transition pattern table with high accuracy.

Further, as described above, the display device of the present invention stores the gradation transition pattern in which the false contour of the moving image, which is created in advance, is stored as a gradation transition pattern table, and the input frame signals or For field signals,
Based on the gradation transition pattern table stored in the storage unit, a classifying unit that classifies the appearance degree of the moving image false contour for each pixel of the image, and the inter-frame signal or inter-field signal classified by the classifying unit On the other hand, motion detection means for detecting a motion vector for each block area, each inter-frame signal or inter-field signal classified by the classification means, and motion vector detected for each block area by the motion detection means Therefore, a compensation grayscale insertion means for inserting a compensation grayscale into each of the input frame signals or field signals is provided.

Therefore, a mechanism for extracting the gradation transition in which the moving picture false contour appears based on the gradation transition pattern table in which the moving picture false contour appears, which is created in advance and stored in the storage medium, for each divided block area. Mechanism to detect motion vector,
Further, it is possible to provide a display device provided with a mechanism for inserting a gradation for compensation into a pixel in which a false contour of a moving image is generated.

Further, in this display device, the above-described motion detection method of the display device is used.

Therefore, there is an effect that it is possible to provide a display device capable of preventing the increase of the circuit scale and performing the motion vector detection and the motion picture false contour compensation in a short time.

[Brief description of drawings]

FIG. 1 is a block diagram showing an embodiment of a motion detection method for a display device according to the present invention, and showing a motion detection mechanism and a compensation gradation inserter.

FIG. 2 is a plan view showing a configuration of one pixel in the display device, FIG. 2 (a) shows a pixel composed of R, G, B generally used as a comparative example, and FIG. Indicates a pixel in which each of R, G, and B used in this embodiment is divided into an area ratio of 2: 1 and the sub-pixel having an area ratio of 2 and / or the sub-pixel having an area ratio of 1 can be turned on. Is.

FIG. 3 is an explanatory diagram showing a state in which the display device is time-divided into four sub-fields and pixel-divided into an area ratio of 2: 1 in order to display a halftone of 64 gradations for one pixel.

4A and 4B are explanatory diagrams showing halftone display of pixels in the display device, FIG. 4A shows a lighting state of a third gradation, and FIG. 4B shows a lighting state of a 31st gradation; (C)
Indicates the lighting state of the 32nd gradation.

FIG. 5 is an explanatory diagram showing a state in which a false contour of a moving image is generated with respect to an adjacent gradation in the display device.

FIG. 6 is an explanatory diagram showing a moving image false contour shape that appears when a gradation transition of 03 gradation to 04 gradation exists in a certain part of a moving image in the display device.

FIG. 7 is an explanatory diagram showing a moving image false contour shape that appears when a gradation transition of 08 to 16 gradations is present in a part of a moving image in the display device.

FIG. 8 is an explanatory diagram showing a moving image false contour shape that appears when there is a gradation transition of 15 gradations to 16 gradations in a part of a moving image in the display device.

FIG. 9 is an explanatory diagram showing a moving image false contour shape that appears when there is a gradation transition of 16 to 15 gradations in a part of a moving image in the display device.

FIG. 10 shows a pseudo contour shape classifier of the above display device,
FIG. 9 is an explanatory diagram showing a gradation transition pattern table in which a false contour of a moving image, which is created in advance and stored in a storage medium, appears.

FIG. 11 is a gradation signal A in the gradation transition pattern table.
It is explanatory drawing which expands and shows the relationship between (0-31) and the gradation signal B (0-31).

FIG. 12 is a gradation signal A in the gradation transition pattern table.
It is explanatory drawing which expands and shows the relationship between (0-31) and the gradation signal B (32-63).

FIG. 13 is a gradation signal A in the gradation transition pattern table.
It is explanatory drawing which expands and shows the relationship between (32-63) and the gradation signal B (0-31).

FIG. 14 is a gradation signal A in the gradation transition pattern table.
It is explanatory drawing which expands and shows the relationship between (32-63) and the gradation signal B (32-63).

15A and 15B are explanatory diagrams showing the operation of the motion detection unit of the display device, where FIG. 15A shows the pixel signal Pop of the previous frame, and FIG. 15B shows the current frame image signal Po.

FIG. 16 is an explanatory diagram showing a relationship between a pixel A and a pixel B when referring to the gradation transition pattern table.

17 is an explanatory diagram showing a state in which the state shown in FIG. 15 is replaced with a code by referring to the gradation transition pattern table,
(A) shows the pixel signal Pop 'of the previous frame,
(B) shows the current frame image signal Po '.

FIG. 18 is an explanatory diagram showing a state in which the code notation shown in FIG. 17 is replaced with a numerical notation, (a) showing a previous frame classification value image output Pp, and (b) showing a current frame classification value. The image output Pc is shown.

19A and 19B show the current frame classification value image output Pc to see how the current frame classification value image output Pc shown in FIG. 18B is moved from the previous frame classification value image output Pp. FIG. 6 is an explanatory view illustrating an example of the shift state of (a) shows a state of (0, 1) shift,
(B) shows a state of (1,0) shift, (c)
Indicates a (0, -1) shifted state, and (d) indicates a (-1, -1) shifted state.

20 is an explanatory diagram showing a state in which a difference is obtained in order to check the identity between the previous frame classification value image output Pp shown in FIG. 18 (a) and FIG. 19, and FIG. 20 (a) shows Pp and (0 , 1) shows the difference between shifts, (b) shows the difference between Pp and (1,0) shifts, (c) shows the difference between Pp and (0, -1) shifts, (D) shows the difference between Pp and the (-1, -1) shift.

FIG. 21 is a gray scale for compensation based on a pattern of a gray scale transition pattern table in which a gray scale transition in which a false contour of a moving image appears is numerically classified for each shape of a light emission error in the compensation gray scale inserter of the display device. It is explanatory drawing which shows the insertion position when inserting.

FIG. 22 is an explanatory diagram showing a redundant pattern # 1 used when inserting the gradation for compensation.

FIG. 23 is an explanatory diagram showing a redundant pattern # 2 used when inserting the gray scale for compensation.

FIG. 24 is an explanatory diagram showing a redundant pattern # 3 used when inserting the gradation for compensation.

25A and 25B are explanatory diagrams when a compensation grayscale is inserted in the compensation grayscale inserter of the display device, FIG. 25A shows a relationship between grayscale signals A and B, and FIG. Gradation signal A, B
Shows the state before insertion of the compensation gradation, (c) shows the method when inserting the compensation gradation based on FIG. 21,
(D) shows the insertion position of the compensation gradation.

FIG. 26 is an explanatory diagram showing a test pattern created for motion detection at the still image level in the display device.

FIG. 27 is an explanatory diagram showing a motion vector detection result when motion detection is performed using the test pattern.

FIG. 28 is an explanatory diagram showing a test pattern created for motion detection in an actual moving image on the display device.

FIG. 29 is an explanatory diagram showing motion detection data collected in advance in the actual moving image.

FIG. 30 is an explanatory diagram showing a result of motion detection in the actual moving image.

FIG. 31 shows another embodiment of the present invention,
It is a block diagram which shows a motion detection mechanism and a compensation gradation insertion device.

FIG. 32 is a block diagram showing still another embodiment of the present invention and showing a motion detection mechanism and a compensation gradation inserter.

[Fig. 33] Fig. 33 is a diagram illustrating a conventional motion detection method for a display device and is an explanatory diagram illustrating a field configuration when time-division 256 gradation display is performed on a plasma display.

FIG. 34 is an explanatory diagram showing a field configuration for explaining a cause of a false contour of a moving image when performing the time-division 256 gradation display.

[Fig. 35] Fig. 35 is a conceptual diagram for explaining a cause of a false contour of a moving image when performing the time division 256 gradation display.

FIG. 36 is a diagram illustrating another conventional motion detection method for a display device, and is an explanatory diagram illustrating a false contour of a moving image that occurs when a display image is scrolled from the left side to the right side in a plasma display.

FIG. 37 is an explanatory diagram showing a state in which a light emitting block for brightness adjustment is added to a moving image false contour that is generated when the display image is scrolled from the left side to the right side in the plasma display in order to be improved.

[Fig. 38] Fig. 38 is an explanatory diagram illustrating motion vectors of a method of motion-compensated interframe prediction used in moving image coding.

[Fig. 39] Fig. 39 is an explanatory diagram illustrating field prediction used in moving image coding.

[Explanation of symbols]

1 Low-pass filter (LPF) 2 False contour shape classifier (classification means) 3 frame memory 4 block matching 5 comparator 6 Motion Detection Unit (Motion Detection Means) 7 Compensation gradation insertion device (compensation gradation insertion means) 10 Motion detection mechanism 20 Motion detection mechanism 30 Motion detection mechanism

─────────────────────────────────────────────────── ─── Continuation of the front page (56) Reference JP-A-10-133623 (JP, A) JP-A-10-39828 (JP, A) JP-A-10-333638 (JP, A) JP-A-11- 85101 (JP, A) JP-A-11-231832 (JP, A) (58) Fields investigated (Int.Cl. ⁷ , DB name) G09G 3/00-3/38 H04N 5/66-5/74

Claims (9)

(57) [Claims] 1. When displaying an image, a halftone is displayed by lighting the same pixel a plurality of times within one field period .
In order to improve the false contour of the moving image generated when
A motion detection method for a display device , wherein the motion detection method divides a screen into a plurality of block areas.
To detect the movement of each divided block area
, Still more, the movement detection method, the pixel dynamic false contour occurs
On the other hand, created in advance to insert a gradation for compensation,
Characterize the gradation transition where the false contour appears from the image data
It is obtained based on the gradation transition pattern table
Compared each inter-frame signal or inter-field signal,
The image is moved by changing the amount of pixel movement for each block area.
A motion detection method for a display device, which is performed by detecting a motion vector. 2. The gradation transition pattern table is formed by characterizing gradation transitions in which a false contour of a moving image appears for each shape of a light emission error, and for compensating a pixel in which a false contour of the moving image occurs. 2. The motion detection of the display device according to claim 1, wherein the above-mentioned code is digitized and used when inserting the gray scale of the above and when detecting the motion vector for each divided block area. Method. 3. The gradation transition pattern table characterizes gradation transitions in which a moving image false contour appears for each emission intensity of a light emission error, and compensates for pixels in which a moving image false contour occurs. 2. The motion of the display device according to claim 1, wherein the code is digitized and used when inserting a gradation for use and detecting a motion vector for each divided block area. Detection method. 4. A method for directly comparing and extracting each of the inter-frame signals or inter-field signals, dividing the screen into a plurality of block areas, and detecting a motion vector for each of the divided areas is provided in parallel. The motion detection method for a display device according to claim 1, 2, or 3. 5. At least one image signal of a color difference signal (Y), a red signal (R), a green signal (G) and a blue signal (B) when extracting the inter-frame signal or the inter-field signal. 4. The motion detection method for a display device according to claim 1, 2 or 3, wherein the inter-frame signals or the inter-field signals are compared. 6. When extracting the inter-frame signal or the inter-field signal, at least two image signals of a color difference signal (Y), a red signal (R), a green signal (G) and a blue signal (B) are extracted.
One or more plurality of signals are simultaneously extracted, the gradation transition in which the false contour of the moving image appears is extracted based on the gradation transition pattern table, and then the motion vector is detected for each divided block area. Item 4. A method for detecting movement of a display device according to item 1, 2 or 3. 7. When extracting the inter-frame signal or the inter-field signal, noise is removed by a low-pass filter (LPF) immediately before extracting a gradation transition in which a false contour of a moving image appears based on a gradation transition pattern table. The motion detection method for a display device according to any one of claims 1 to 6, wherein: 8. When displaying an image, halftone is displayed by lighting the same pixel a plurality of times within one field period, and a gradation for compensation is inserted into a pixel in which a false contour of a moving image is generated, and In a display device that divides the screen into a plurality of block areas and detects a motion vector for each divided area , characterizes the gradation transition in which a false contour that is created in advance appears.
Storage means for storing as a gradation transition pattern table represented by symbols, and for each input frame signal or field signal, each pixel of the image based on the gradation transition pattern table stored in the storage means. and classifying means for classifying the degree of occurrence of dynamic false contour on, with each interframe signal or the inter-field signals are classified by the classifying means, pixel shift amount for each block region
From the motion detection means for detecting the motion vector by varying the image by each, the inter-frame signal or inter-field signal classified by the classification means, and the motion vector detected for each block area by the motion detection means. A display device, comprising: compensation grayscale insertion means for inserting a compensation grayscale into each of the input frame signals or field signals. 9. The input signal noise is provided in front of the classification means.
A low-pass filter to remove
The display device according to claim 8, wherein the display device is a display device.