CN102457696B - Image processing device and image processing method - Google Patents

Abstract

The invention provides an image processing device and an image processing method. The image detection unit is used for detecting a pixel difference value of an image picture and a previous image picture or a next image picture thereof and outputting a weight value according to the pixel difference value. The image interpolation unit interpolates the pixel values of the image frame by an intra-field interpolation method and an inter-field interpolation method. The image mixing unit mixes the pixel values interpolated by the intra-field interpolation method and the pixel values interpolated by the inter-field interpolation method according to the weight value to restore the image frame.

Description

Image processing device and image processing method

technical field

The invention relates to a multimedia processing device and a multimedia processing method, and in particular to an image processing device and an image processing method.

Background technique

In recent years, computer computing power has grown rapidly, and digital media has become the best tool for human beings to express their creativity and imagination. Among them, the application of digital image processing and the development of related image products allow people to use digital methods to record and preserve the glimpses of life.

However, the amount of data in digital images is very large, so many digital storage or compression standards adopt the YUV_4:2:0 color format to reduce the amount of data in digital images. Afterwards, when the digital image is to be played, the image output device converts the digital image data from the YUV_4:2:0 color format to the YUV_4:2:2 color format. In the YUV_4:2:0 color format, the vertical color information of the digital image is only half of the original before down-sampling. If the interlaced mode (interlaced) is used to generate digital images, the color drop will be more serious, especially when there are high-frequency color changes in the vertical direction, the restored image will have obvious color aliasing, and even It is a comb phenomenon (combing).

In addition, when the digital image data is converted from the YUV_4:2:0 color format to the YUV_4:2:2 color format, the image output device usually uses a high-order filter. However, high-order vertical filtering requires a large amount of data storage, which seriously increases the cost, and if a low-order filter is used, the digital image is relatively blurred.

YUV_4:2:0 color format to YUV_4:2:2 color format under MPEG (Motion Picture Experts Group, animation expert group) or other compression standards can be executed in interlaced mode (interlaced) or sequential mode (progressive) . When decompressing, the front-end compression circuit will provide the mode used in the compression to the back-end image output device in the form of a flag for decompression. According to the flag information, the video output device can reduce the visual side effects produced by the YUV_4:2:0 color format.

However, some front-end compression circuits may not correctly set the flag information, so when the back-end image output device decompresses, it will restore the YUV_4:2:0 color format to YUV_4 in a poor decompression method :2:2 color format, which in turn produces more severe visual side effects.

Contents of the invention

The present invention provides an image processing device, which uses motion detection to determine the correlation between the target image to be restored and its preceding and following images, to restore the color format, so as to effectively reduce the visual side effects generated during compression.

The invention provides an image processing device, which includes an image detection unit, an image interpolation unit and an image mixing unit. The image detection unit is used for detecting a pixel difference value (pixel difference value) between an image frame and its previous image frame or subsequent image frame, and outputting a weight value according to the pixel difference value. The image interpolation unit uses itntra-field interpolation and inter-field interpolation to interpolate the pixel values of the image frame. The image mixing unit mixes the pixel values interpolated by the intra-field interpolation method and the pixel values interpolated by the inter-field interpolation method according to the weight value to restore the image frame.

In an embodiment of the present invention, the above-mentioned image interpolation unit includes an intra-field interpolation unit and an inter-field interpolation unit. The intra-field interpolation unit interpolates the pixel values of the image frame by an intra-field interpolation method. The inter-field interpolation unit interpolates the pixel values of the image frame by an inter-field interpolation method.

In an embodiment of the present invention, when the above-mentioned intra-field interpolation unit interpolates the pixel value of the image frame by the intra-field interpolation method, it interpolates the target according to the pixel values of adjacent pixel points around a target pixel point of the image frame. The pixel value of the pixel point.

In an embodiment of the present invention, when the above-mentioned inter-field interpolation unit interpolates the pixel value of the image frame by the inter-field interpolation method, it is based on a target pixel point of the image frame in an odd field of the previous image frame (odd field) or an even field (even field) or the pixel value of the corresponding pixel in an odd field or an even field of the next image frame, and interpolate the pixel value of the target pixel.

In an embodiment of the present invention, the above image frame includes an odd field and an even field. The image detection unit compares the odd field and the even field of the image frame with an odd field and an even field of the previous image frame or an odd field and an even field of the next image frame to obtain pixels difference.

In an embodiment of the present invention, the above-mentioned pixel values of the image frame include gray scale values, color values or brightness values.

The invention provides an image processing method, which is suitable for an image processing device. The image processing method includes the following steps. A pixel difference between an image frame and its previous image frame or its subsequent image frame is detected. Outputting a weight value according to the pixel difference. Interpolate the pixel values of the image frame by intra-field interpolation and inter-field interpolation. According to the weight value, the pixel values interpolated by the intra-field interpolation method and the pixel values interpolated by the inter-field interpolation method are mixed to restore the image picture.

In one embodiment of the present invention, in the step of interpolating the pixel values of the image frame by the intra-field interpolation method and the inter-field interpolation method, when interpolating the pixel values of the image frame by the intra-field interpolation method, according to The pixel value of the target pixel is interpolated from the pixel values of adjacent pixels around a target pixel in the image frame.

In one embodiment of the present invention, in the step of interpolating the pixel values of the image frame by the intra-field interpolation method and the inter-field interpolation method, when interpolating the pixel values of the image frame by the inter-field interpolation method, it is According to the pixel value of a target pixel in the image frame corresponding to an odd field or an even field of the previous image frame or an odd field or an even field of the next image frame, interpolation The pixel value of the target pixel.

In an embodiment of the present invention, the above image frame includes an odd field and an even field. In the step of detecting the pixel difference between an image frame and its previous image frame or its subsequent image frame, comparing an odd field and an even field of the image frame with an odd field and an even image of the previous image frame respectively An odd field and an even field of a field or a subsequent image frame to obtain pixel difference values.

Based on the above, in an embodiment of the present invention, the image processing device and its image processing method determine the pixel difference between the target image to be restored and its previous and subsequent images by means of motion detection, and then determine the weight value when restoring the target image frame .

In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail with reference to the accompanying drawings.

Description of drawings

FIG. 1 is a schematic block diagram of an image processing device according to an embodiment of the present invention.

FIG. 2 is a schematic diagram of a motion detection method according to an embodiment of the present invention.

FIG. 3 is a mapping relationship diagram between pixel difference values and weight values according to an embodiment of the present invention.

FIG. 4 is a schematic diagram of pixels of an intra-field interpolation method according to an embodiment of the present invention.

FIG. 5 is a flowchart of steps of an image processing method according to an embodiment of the present invention.

Reference signs:

100: image processing device; 110: image detection unit;

120: Image interpolation unit; 122: In-field interpolation unit;

124: Interpolation unit between fields; 130: Image mixing unit;

S, S’: image signal; α: weight value;

I ₁ , I ₂ : image screen; f ₀ , f ₂ : even image field;

f ₁ , f ₃ : odd image field; D1, D2: pixel difference;

C_intra, C_inter: pixel value after interpolation;

P ₀ ～P ₇ , P ₀ ′～P ₇ ′, T, B, L, R, P _i ”, P ₃ ”, P ₄ ”, P ₅ ”: pixel points.

Detailed ways

In an exemplary embodiment of the present invention, when the image processing device restores the color format of the image frame from YUV_4:2:0 to YUV_4:2:2, it will refer to the grayscale gradient and color information (spatial domain). At the same time, in the interlaced mode, the image processing device will also consider the moving amount of the pixels in order to find the most effective reference point in the time domain. After that, the image processing device uses the obtained reference points and related weight values to interpolate the high vertical resolution of the color, and effectively reduce the visual side effects generated during compression.

In the following exemplary embodiments, the interpolation of the chroma value (chroma) of the target pixel is taken as an example, but the present invention is not limited thereto.

FIG. 1 is a schematic block diagram of an image processing device according to an embodiment of the present invention. Please refer to FIG. 1 , in this embodiment, the image processing device 100 includes an image detection unit 110 , an image interpolation unit 120 and an image mixing unit 130 . Here, the image interpolation unit 120 includes an intra-field interpolation unit 122 and an inter-field interpolation unit 124 .

In this embodiment, after receiving the image signal S, the image detection unit 110 will detect the pixel difference between the target image frame to be interpolated (that is, the current image frame) and its previous or subsequent image frame. value, and output a weight value α to the image blending unit 130 according to the pixel difference.

On the other hand, the image interpolation unit 120 also receives the image signal S to interpolate the target image frame. In this embodiment, the intra-field interpolation unit 122 interpolates the pixel values of the target image frame by an intra-field interpolation method, and outputs the interpolated pixel values C_intra to the image mixing unit 130 . Meanwhile, the inter-field interpolation unit 124 interpolates the pixel values of the target image frame by an inter-field interpolation method, and outputs the interpolated pixel values C_inter to the image mixing unit 130 .

Next, the image mixing unit 130 mixes the pixel values C_intra and C_inter interpolated by the image interpolation unit 120 according to the weight value α determined by the image detection unit 110 to restore the image frame and output the image signal S'. Here, the pixel values C_intra and C_inter interpolated by the image interpolation unit 120 are, for example, chrominance values of pixels in the target image frame.

Therefore, the image processing device 100 of this embodiment does not need to rely on the flag provided by the front-end compression circuit to perform image restoration. Even if the front-end compression circuit does not correctly set the flag information, the image processing device 100 can still interpolate the high vertical resolution of the color, so as to effectively improve the image output quality.

Specifically, the image detection unit 110 is, for example, a motion detector (motion detector), which uses motion detection to determine the pixel difference between the pixel value of the target image frame and its previous or subsequent image frame, and then The weight value α used by the image blending unit 130 to restore the image frame is determined.

FIG. 2 is a schematic diagram of a motion detection method according to an embodiment of the present invention. Please refer to FIG. 1 and FIG. 2 , in this embodiment, image frame compression is performed in an interlaced mode, for example. Therefore, the image frames I ₁ and I ₂ received by the image detection unit 110 include, for example, even image fields f ₀ , f ₂ and odd image fields f ₁ , f ₃ , wherein the symbol ○ represents the grayscale value of a pixel point, The symbol ● represents the chromaticity value of the pixel, and the symbol Represents the grayscale value of the target pixel to be interpolated in this embodiment.

In the interlaced mode, the even field and the odd field only contain interlaced data in the original image frame respectively. The even field will display the image signal of the even scanning line, and the odd field will display the image signal of the odd scanning line, and the two are displayed alternately. Since the even image field and the odd image field only contain interlaced data in the original image frame, the color information in the vertical direction is only half of the original for the same image field, and adjacent pixels refer to a common color information. degree value. Therefore, when restoring an image frame, the image processing device 100 must interpolate the chroma values of pixels lacking chroma values.

For example, in the even image field _f2 , the pixel points P ₀ and P ₂ in the vertical direction are the chromaticity values of the common reference pixel point P ₀ ; the pixel points P ₄ and P ₆ are the chromaticity values of the common reference pixel point P ₄ value, and so on. Therefore, the image interpolation unit 120 must interpolate the chrominance values of the pixels P ₂ and P ₆ to restore the image frame.

表示)，因此影像画面I₁为影像画面I₂的前张影像画面。In FIG. 2 , if the interpolation target of the image interpolation unit 120 is the image frame I ₂ , then in terms of time, the image frame I ₁ is its previous image frame. Conversely, if the interpolation target of the image interpolation unit 120 is the image frame I ₁ , then in terms of time, the image frame I ₂ is the subsequent image frame. In this embodiment, the interpolation target of the image interpolation unit 120 is, for example, the pixel point _P2 of the image frame _I2 (in FIG.

), so the video frame _I1 is the previous video frame of the video frame _I2 .

When the object on the previous image frame _I1 moves, the pixel value of the corresponding pixel on the subsequent image frame _I2 will also have a significant change difference. For example, in the odd image field _f1 , when the object corresponding to the pixel point _P3 ' moves, the gray scale value and chromaticity value of the pixel point _P3 in the odd image field _f3 are the same as those of the pixel point _P3 ' Compared with the grayscale value and the chrominance value, there will be a significant pixel difference (that is, the grayscale difference or the chrominance difference between the two). Similarly, in the even image field _f0 , when the object corresponding to the pixel point _P4 ' moves, the grayscale value and chromaticity value of the pixel point _P4 on the even image field _f2 are the same as those of the pixel point _P4 ' There is also a pixel difference between the grayscale value and the chrominance value (that is, the grayscale difference or the chrominance difference between the two).

Therefore, in this embodiment, when the object on the previous image frame _I1 moves, the image detection unit 110, for example, compares the pixel values of pixel points _P3 ' and _P3 or _P4 ' and _P4 to obtain pixel difference. In this embodiment, the image detection unit 110 is an example of comparing the previous image frame with the target image frame, and the present invention is not limited thereto. In other embodiments, the image detection unit 110 can also compare the next image frame with the target image frame, or compare the previous and next image frames with the target image frame at the same time to obtain the pixel difference.

Therefore, the image detection unit 110 determines the pixel difference between the pixel value of the target image frame and the pixel value of the previous or subsequent image frame by the above-mentioned motion detection method of detecting whether the object on the image frame moves, and then determines the image blending. The weight value α that the unit 130 refers to when restoring the image frame.

In other words, the image detection unit compares the odd field and the even field of the image frame with the odd field and the even field of the previous image frame or the odd field and the even field of the next image frame to obtain the pixel difference. Furthermore, after obtaining the pixel difference value, the image detection unit generates a weight value based on it, and outputs it to the image mixing unit.

FIG. 3 is a mapping relationship diagram between pixel difference values and weight values according to an embodiment of the present invention. Please refer to FIG. 1 to FIG. 3 . In this embodiment, the image detection unit 110 can generate a weight value α according to the mapping relationship diagram in FIG. 3 after determining the pixel difference value through the above-mentioned motion detection method. Next, the image blending unit 130 restores the image frame with a ratio of, for example, C_intra×α+C_inter×(1−α).

For example, taking a dynamic image as an example, the objects on the image screen often have obvious changes, so the pixel difference D1 detected by the image detection unit 110 is relatively large. According to FIG. 3 , the pixel difference D1 is mapped to α=1, for example. Therefore, when the image blending unit 130 restores the image frame, for example, the image frame is restored with a ratio of C_intra×1+C_inter×0. That is, the image blending unit 130 restores the image frame only according to the interpolation result of the intra-field interpolation unit 122 .

In addition, taking a still image as an example, the objects on the image screen generally do not change significantly, so the pixel difference D2 detected by the image detection unit 110 is relatively small. According to FIG. 3 , the pixel difference D2 is mapped to α=0, for example. Therefore, when the image blending unit 130 restores the image frame, for example, the image frame is restored with a ratio of C_intra×0+C_inter×1. That is, the image blending unit 130 at this time restores the image frame only according to the interpolation result of the inter-field interpolation unit 124 .

Therefore, according to the different degree of change of the image frame, the weight value α mapped by the image detection unit 110 according to FIG. 3 also has a different degree. Therefore, in an exemplary embodiment of the present invention, the image processing device 100 can adaptively adjust the pixel value C_intra interpolated by the intra-field interpolation method and the pixel value C_intra interpolated by the inter-field interpolation method according to the change degree of the image frame. The interpolated proportional relationship between the pixel values C_inter is used to restore the image frame, without relying on the flag provided by the front-end compression circuit for image restoration. Therefore, even if the front-end compression circuit does not correctly set the flag information, the image processing device 100 can still interpolate the high vertical resolution of the color, so as to effectively improve the image output quality.

As far as the inter-field interpolation unit 124 is concerned, taking the interpolation of chrominance values as an example, it interpolates the chrominance value of the target pixel by an inter-field interpolation method, wherein the inter-field interpolation method in this embodiment is, for example, The chrominance value of the target pixel is interpolated by the inter-field interpolation unit 124 from the chrominance value of the previous or subsequent pixel at the same position.

In other words, when the inter-field interpolation unit 124 interpolates the pixel values of the image frame by the inter-field interpolation method, it is based on whether the target pixel is in the odd field or the even field of the previous image frame or the odd field of the next image frame. Interpolate the pixel value of the target pixel with the pixel value of the corresponding pixel in the image field or even image field.

As far as the intra-field interpolation unit 122 is concerned, taking the interpolation of chroma values as an example, it uses an intra-field interpolation method to interpolate the chrominance value of the target pixel. When the intra-field interpolation unit interpolates the pixel value of the image frame by the intra-field interpolation method, it interpolates the pixel value of the target pixel according to the pixel values of adjacent pixel points around the target pixel point of the image frame.

In detail, FIG. 4 is a schematic diagram of pixels of an intra-field interpolation method according to an embodiment of the present invention. Please refer to FIG. 1 to FIG. 4. FIG. 4 shows the target pixel point P2 to be interpolated by the intra-field interpolation unit 122 in the even image field _f2 of the image frame _I2 and the surrounding eight adjacent pixels _. Pixels T, B, L, R, P ₁ ″, P ₃ ″, P ₄ ″ and P ₅ ″.

In Figure 4, the first line where the pixel points P ₁ ″, T, P ₃ ″ and the third line where the pixel points P ₄ ″, B, P ₅ ″ are located have the same gray scale value and chromaticity value. exists, but the second line where the pixel points L, P ₂ , and R are located has only grayscale values. Therefore, in this embodiment, the intra-field interpolation unit 122 will interpolate the chrominance value of the target pixel point P ₂ through the following intra-field interpolation method.

Firstly, before interpolating the chroma value of pixel _P2 , the intra-field interpolation unit 122 will first determine the gray-scale difference between the gray-scale value of pixel _P2 and the gray-scale values of eight surrounding pixels Whether the value is greater than a grayscale threshold. For example, the intra-field interpolation unit 122 will calculate the difference between the gray scale value of the pixel point _P2 and the average value of the gray scale values of 8 adjacent pixel points around it, and then compare it with the gray scale threshold value, and take the difference between the two. The larger one is used as the effective gray scale critical value.

The code example of the above judgment method is as follows:

valid_th=max((y _P2 -(y _P1 "+y _T +y _P3" +y _L +y _R +y _P4" +y _B +y _P5" )/8),

coring_th)

Among them, valid_th is the valid gray-scale critical value, coring_th is the gray-scale critical value, and y _P2 , y _P1” , y _T , y _P3” , y _L , y _R , y _P4” , y _B , and y _P5” are pixels respectively The grayscale value of the point _P2 and the grayscale values of the surrounding 8 adjacent pixels.

Next, the intra-field interpolation unit 122 determines the color of the interpolation target pixel P ₂ according to the relationship among the chromaticity values of the pixel points T, B, P ₁ ″, P ₃ ″, P ₄ ″, and p _{5 ″} When the degree value is , the weight value ω of the pixel point T.

For example, if the chromaticity value of pixel P ₁ ″ is closer to the chromaticity value of pixel T, then pixel T can get two weights (votes). Conversely, if the chromaticity value of pixel P ₁ ″ When the chroma value is closer to the pixel point B, the pixel point B can obtain two weights. If the chromaticity value of the pixel point P ₁ ″ is similar to the difference between the chromaticity values of the pixel points T and B (for example, the difference is smaller than the effective gray scale critical value valid_th), then the pixel points T and B can each obtain a weight. Similar Similarly, the weights obtained from the pixel points T and B from the pixel points P ₃ ″, P ₄ ″, and P ₅ ″ can also be determined in the above manner.

For example, assuming that the chromaticity values of pixels T, B, P ₁ ″, P ₃ ″, P ₄ ″, and P ₅ ″ are 100, 200, 120, 120, 150, and 150 respectively, then the pixel point T is represented by The weights obtained by pixels P ₁ ”, P ₃ ”, P ₄ ”, and P ₅ ” are, for example, 2, 2, 1, 1 (the total weight is 6), and pixel B is composed of pixels P ₁ ”, The weights obtained by P ₃ ″, P ₄ ″, and P ₅ ″ are, for example, 0, 0, 1, 1 (the total weight is 2).

Therefore, the intra-field interpolation unit 122 determines the weight value ω of the pixel T when interpolating the chrominance value of the target pixel P ₂ according to the ratio of the total weights of the pixels T and B.

The code example of the above judgment method is as follows:

For(P"=P ₁ ", P ₃ ", P ₄ ", P ₅ ")

if(chroma _P” closer to chroma _T than chroma _B by more than valid_th) vote _T +＝2

else if(chroma _P” closer to chroma _B than chroma _T by more than valid_th) vote _B +＝2

else{vote _T +=1, vote _B +=1}

Among them, chroma _P” represents the chromaticity value of each pixel (P ₁ ”, P ₃ ”, P ₄ ”, P ₅ ”), chroma _T and chroma _B are the chromaticity values of pixel T and B respectively, and vote _T and vote _B are the obtained weights.

After determining the weight value ω of the pixel point T, the intra-field interpolation unit 122 interpolates the chrominance value of the target pixel point _P2 according to the following formula:

x＝ω×t+(1-ω)×b

Wherein, x, t, and b are the chromaticity values of the pixel points P ₂ , T, and B, respectively.

Therefore, in this embodiment, the intra-field interpolation unit 122 interpolates the chrominance value of the target pixel point _P2 through the above-mentioned intra-field interpolation method.

FIG. 5 is a flowchart of steps of an image processing method according to an embodiment of the present invention. Referring to FIG. 1 and FIG. 5 , the image adjustment method of this embodiment includes the following steps.

First, in step S500 , the image detection unit 110 detects the pixel difference between the target image frame and its previous image frame or its subsequent image frame, and outputs a weight value according to the pixel difference.

On the other hand, in step S502 , the image interpolation unit 120 interpolates the pixel values of the image frame by intra-field interpolation and inter-field interpolation.

Next, in step S504 , the image mixing unit 130 mixes the pixel values interpolated by the intra-field interpolation method and the pixel values interpolated by the inter-field interpolation method according to the weight value, so as to restore the image frame.

It should be noted that, in this embodiment, although step S500 shown in FIG. 5 is before step S502, the present invention is not limited thereto. When interpolation is actually performed, steps S500 and S502 can be performed simultaneously.

In addition, the image adjustment method of the embodiment of the present invention can obtain sufficient teachings, suggestions and implementation descriptions from the descriptions of the exemplary embodiments in FIGS. 1 to 4 , so details are not repeated here.

To sum up, in the exemplary embodiment of the present invention, the image processing device and its image processing method determine the pixel difference between the target image to be restored and its previous or subsequent image by means of motion detection, and then determine the restoration target The weight value of video frame. Therefore, the image processing device does not need to rely on the flag provided by the front-end compression circuit to restore the image. Even if the front-end compression circuit does not correctly set the flag information, the image processing device can still interpolate the high vertical resolution of the color to effectively improve the image output quality.

Although the present invention has been disclosed above with the embodiments, it is not intended to limit the present invention. Any person skilled in the art may make some changes and modifications without departing from the spirit and scope of the present invention. Therefore, the present invention The scope of protection shall prevail as defined by the appended claims.

Claims (11)

1. An image processing device, comprising: An image detection unit, used to detect a pixel difference between an image frame and its previous image frame or its subsequent image frame, and output a weight value according to the pixel difference; an image interpolation unit, interpolating the pixel values of the image frame by an intra-field interpolation method and an inter-field interpolation method; and An image mixing unit, mixing pixel values interpolated by the intra-field interpolation method and pixel values interpolated by the inter-field interpolation method according to the weight value to restore the image frame, wherein the pixel difference represents The degree of change between the image frame and its previous image frame or its subsequent image frame. 2. The image processing device according to claim 1, wherein the image interpolation unit comprises: an intra-field interpolation unit, interpolating the pixel values of the image frame by the intra-field interpolation method; and The inter-field interpolation unit uses the inter-field interpolation method to interpolate the pixel values of the image frame. 3. The image processing device according to claim 2, wherein when the intra-field interpolation unit uses the intra-field interpolation method to interpolate the pixel value of the image frame, according to adjacent pixels around a target pixel point of the image frame The pixel value of the point interpolates the pixel value of the target pixel point. 4. The image processing device according to claim 2, wherein when the inter-field interpolation unit uses the inter-field interpolation method to interpolate the pixel value of the image frame, according to a target pixel point of the image frame in the previous frame The pixel value of the pixel corresponding to an odd field or an even field of the image frame or an odd field or an even field of the subsequent image frame is used to interpolate the pixel value of the target pixel. 5. The image processing device according to claim 1, wherein the image frame includes an odd field and an even field, and the image detection unit compares the odd field and the even field of the image frame with the An odd field and an even field of the previous image frame or an odd field and an even field of the next image frame to obtain the pixel difference value. 6. The image processing device according to claim 1, wherein the pixel values of the image frame include gray scale values, color values or brightness values. 7. An image processing method, suitable for an image processing device, the image processing method comprising: Detecting a pixel difference between an image frame and its previous image frame or its subsequent image frame, wherein the pixel difference represents the degree of image frame change between the image frame and its previous image frame or its subsequent image frame; Outputting a weight value according to the pixel difference; Interpolate the pixel values of the image frame by intra-field interpolation and inter-field interpolation; and The pixel values interpolated by the intra-field interpolation method and the pixel values interpolated by the inter-field interpolation method are mixed according to the weight value to restore the image frame. 8. The image processing method according to claim 7, wherein in the step of interpolating the pixel values of the image frame by the intra-field interpolation method and the inter-field interpolation method, the intra-field interpolation method When interpolating the pixel value of the image frame, the pixel value of the target pixel point is interpolated according to the pixel values of adjacent pixel points around a target pixel point of the image frame. 9. The image processing method according to claim 7, wherein in the step of interpolating the pixel values of the image frame by the intra-field interpolation method and the inter-field interpolation method, the inter-field interpolation method When interpolating the pixel value of the image frame, a target pixel point of the image frame is in an odd field or an even field of the previous image frame or an odd field or an even image of the subsequent image frame The pixel value of the corresponding pixel point in the field is interpolated with the pixel value of the target pixel point. 10. The image processing method according to claim 7, wherein the image frame includes an odd field and an even field, and when detecting a pixel difference between an image frame and its previous image frame or its subsequent image frame, In the value step, respectively compare the odd field and the even field of the image frame with an odd field and an even field of the previous image frame or an odd field and an even field of the subsequent image frame field to obtain the pixel difference. 11. The image processing method according to claim 7, wherein the pixel values of the image frame include gray scale values, color values or brightness values.

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