CN102457696B - Image processing device and image processing method - Google Patents
Image processing device and image processing method Download PDFInfo
- Publication number
- CN102457696B CN102457696B CN2010105138715A CN201010513871A CN102457696B CN 102457696 B CN102457696 B CN 102457696B CN 2010105138715 A CN2010105138715 A CN 2010105138715A CN 201010513871 A CN201010513871 A CN 201010513871A CN 102457696 B CN102457696 B CN 102457696B
- Authority
- CN
- China
- Prior art keywords
- image frame
- image
- interpolation
- pixel value
- pixel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Abstract
The invention provides an image processing device and an image processing method. The image processing device comprises an image detection unit, an image interpolation unit and an image mixing unit; the image detection unit is used for detecting pixel difference value between an image picture and an image picture before or after the image picture, and outputting a weighted value according to the pixel difference value; the image interpolation unit interpolates pixel values for the image picture by using an in-field interpolation method and an inter-field interpolation method; and the image mixing unit mixes the pixel value interpolated by the in-field interpolation method and the pixel value interpolated by the inter-field interpolation method according to the weighted value, so as to restore the image picture.
Description
Technical field
The present invention relates to a kind of multimedia processing apparatus and multi-media processing method, and be particularly related to a kind of image processor and image treatment method.
Background technology
In recent years, the computer operational capability is grown up rapidly, and the medium of numeral has become the mankind to express the best instrument of intention and the imagination.Wherein, the utilization that digitized video is processed and the development of coherent video product, allow people be utilized digital mode to note down, preserve hasty and casual in life.
Yet the data quantity of digitized video is all huge completely, therefore many digital storage or compression standard all adopt YUV_4:2:0 color form, to reduce the data quantity of digitized video.Afterwards, when wish is play digitized video, then transfer digital image data to YUV_4:2:2 color form by YUV_4:2:0 color form by image output device.Under YUV_4:2:0 color form, the color information that digitized video is vertical only has and originally reduces front half of sampling (down-sampling).If add with interleaving mode (interlaced) and produce digitized video, the situation that color goes offline can be more serious, when the change color of high frequency is arranged especially in the vertical direction, the image of reduction has color sawtooth clearly, or even comb shape phenomenon (combing).
In addition, when digital image data transfers YUV_4:2:2 color form to by YUV_4:2:0 color form, image output device is all the filter that uses high exponent number usually.But high exponent number vertical filtering needs a large amount of data storage, seriously raises the cost, and if use the filter of low exponent number, digitized video is relatively fuzzy.
At MPEG (Motion Picture Experts Group, the mpeg group) or the YUV_4:2:0 color form under other compression standards turn YUV_4:2:2 color form, can be at interleaving mode (interlaced) or pattern (progressive) is lower in proper order carries out.When decompressing, the mode that the front end compressor circuit uses in the time of can be by compression offers the rear end image output device with flag (flag) form and is decompressed.According to flag (flag) information, image output device can reduce the visual side-effect that YUV_4:2:0 color form produces.
Yet, part front end compressor circuit may correctly not set flag (flag) information, when therefore the rear end image output device is decompressed, can YUV_4:2:0 color form be reduced into to YUV_4:2:2 color form in poor decompression mode, and then produce more serious visual side-effect.
Summary of the invention
The invention provides a kind of image processor, it determines the target image of wish reduction and the correlation of opening image before and after it in mobile detection mode (motion detection), reduce the color form, the visual side-effect produced when effectively reducing compression.
The invention provides a kind of image processor, it comprises an image detecting unit, an image interpolation unit and an image mixed cell.The pixel value difference (pixel difference value) of image detecting unit in order to detect an image frame and its toe-out image frame or its posttension image frame, and export a weighted value according to pixel value difference.Image interpolation unit is with an interior interpolation method (itntra-field interpolation) and interpolation method (inter-field interpolation) between, the pixel value of interpolation image frame.The image mixed cell mixes the pixel value interpolated with interpolation method in field according to weighted value and reaches with the interpolated pixel value of interpolation method between field, with reverting image.
In one embodiment of this invention, above-mentioned image interpolation unit comprises interpolation unit between an interior interpolation unit and.In, the interpolation unit is with the pixel value of interpolation method interpolation image frame in field.Between, the interpolation unit is with the pixel value of interpolation method interpolation image frame between field.
In one embodiment of this invention, when in above-mentioned field, the interpolation unit is with the pixel value of interpolation method interpolation image frame in field, according to the pixel value of the pixel value interpolation target pixel points of pixel contiguous around a target pixel points of image frame.
In one embodiment of this invention, when between above-mentioned field, the interpolation unit is with the pixel value of interpolation method interpolation image frame between field, the pixel value according to a target pixel points of image frame corresponding pixel in a strange figure (odd field) of toe-out image frame or a bigraph field (even field) or posttension image frame a strange figure or a bigraph field, the pixel value of interpolation target pixel points.
In one embodiment of this invention, above-mentioned image frame comprises a Qi Tuchang and a bigraph field.The image detecting unit compares respectively strange figure field and a Qi Tuchang of bigraph field and toe-out image frame and a Qi Tuchang and a bigraph field of a bigraph field or posttension image frame of image frame, to obtain pixel value difference.
In one embodiment of this invention, the pixel value of above-mentioned image frame comprises GTG value, color-values or brightness value.
The invention provides a kind of image treatment method, it is suitable for an image processor.Image treatment method comprises the steps.Detect a pixel value difference of an image frame and its toe-out image frame or its posttension image frame.Export a weighted value according to pixel value difference.With interpolation method between an interior interpolation method and, the pixel value of interpolation image frame.Mixing the pixel value interpolated with interpolation method in field according to weighted value reaches with the interpolated pixel value of interpolation method between field, with reverting image.
In one embodiment of this invention, interpolation method between interpolation method and field in field, in the step of the pixel value of interpolation image frame, during with the pixel value of interpolation method interpolation image frame in field, according to the pixel value of the pixel value interpolation target pixel points of pixel contiguous around a target pixel points of image frame.
In one embodiment of this invention, interpolation method between interpolation method and field in field, in the step of the pixel value of interpolation image frame, during with the pixel value of interpolation method interpolation image frame between field, the pixel value according to a target pixel points of image frame corresponding pixel in a strange figure of the toe-out image frame or a bigraph field or posttension image frame a strange figure or a bigraph field, the pixel value of interpolation target pixel points.
In one embodiment of this invention, above-mentioned image frame comprises a Qi Tuchang and a bigraph field.In the step of the pixel value difference of detecting image picture and its toe-out image frame or its posttension image frame, compare respectively strange figure field and a Qi Tuchang of bigraph field and toe-out image frame and a Qi Tuchang and a bigraph field of a bigraph field or posttension image frame of image frame, to obtain pixel value difference.
Based on above-mentioned, in an embodiment of the present invention, image processor and image treatment method thereof decide wish reduction target image in the mobile detection mode with its before and after the pixel value difference of an image, and then weighted value during decision restore target image frame.
For above-mentioned feature and advantage of the present invention can be become apparent, special embodiment below, and coordinate accompanying drawing to be described in detail below.
The accompanying drawing explanation
The block schematic diagram of the image processor that Fig. 1 is one embodiment of the invention.
The schematic diagram of the mobile detection mode that Fig. 2 is one embodiment of the invention.
The pixel value difference that Fig. 3 is one embodiment of the invention and the mapping relations figure of weighted value.
The pixel schematic diagram of interpolation method in the field that Fig. 4 is one embodiment of the invention.
The flow chart of steps of the image treatment method that Fig. 5 is one embodiment of the invention.
Reference numeral:
100: image processor; 110: the image detecting unit;
120: image interpolation unit; 122: interpolation unit in;
124: interpolation unit between; 130: the image mixed cell;
S, S ': image signal; α: weighted value;
I
1, I
2: image frame; f
0, f
2: the bigraph field;
F
1, f
3: Qi Tuchang; D1, D2: pixel value difference;
C_intra, C_inter: the 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.
Embodiment
In exemplary embodiment of the present invention, when image processor reverts to YUV_4:2:2 at the color form image frame by YUV_4:2:0, can be with reference to GTG gradient and color information (spatial domain).Simultaneously, under interleaving mode, the amount of movement that image processor also can considered pixel, in the hope of finding the most effective reference point in time-domain.Afterwards, image processor goes out the high vertical resolution of color with reference point and the relevant weighted value interpolation obtained again, and effectively reduces the visual side-effect produced while compressing.
In exemplary embodiment hereinafter, be that to take the chromatic value (chroma) of interpolation target pixel points be example, but the present invention is not limited to this.
The block schematic diagram of the image processor that Fig. 1 is one embodiment of the invention.Please refer to Fig. 1, in the present embodiment, image processor 100 comprises an image detecting unit 110, an image interpolation unit 120 and an image mixed cell 130.At this, image interpolation unit 120 comprises interpolation unit 124 between an interior interpolation unit 122 and.
In the present embodiment, image detecting unit 110 is after receiving image signal S, can detect the target image picture (being this image frame) of want interpolation and the pixel value difference of its toe-out image frame or its posttension image frame, and export a weight value α to image mixed cell 130 according to this pixel value difference.
On the other hand, image interpolation unit 120 also can receive image signal S, with interpolation target image picture.In the present embodiment, interpolation unit 122 pixel values with interpolation method interpolation target image picture in field in, and the pixel value C_intra after the output interpolation is to image mixed cell 130.Simultaneously, between, interpolation unit 124 is with the pixel value of interpolation method interpolation target image picture between field, and the pixel value C_inter after the output interpolation is to image mixed cell 130.
Then, the weight value α that image mixed cell 130 determines according to image detecting unit 110 again, pixel value C_intra, C_inter after composite image interpolation unit 120 is interpolated, with reverting image, image output signal S '.At this, pixel value C_intra, C_inter after image interpolation unit 120 is interpolated are for example the chromatic values of the pixel in the target image picture.
Therefore, the flag that the image processor 100 of the present embodiment does not need to rely on the front end compressor circuit and provides is carried out image reduction.Even the front end compressor circuit is not correctly set the flag information, but image processor 100 still interpolation go out the high vertical resolution of color, effectively to promote the image output quality.
Specifically, image detecting unit 110 is for example a dynamic image detector (motion detector), it decides the pixel value difference of the pixel value of target image picture and its toe-out or posttension image frame in the mobile detection mode, and then determines image mixed cell 130 weight value α in reverting image time institute foundation.
The schematic diagram of the mobile detection mode that Fig. 2 is one embodiment of the invention.Please refer to Fig. 1 and Fig. 2, in the present embodiment, is for example to carry out under interleaving mode during the image frame compression.Therefore, the image frame I that image detecting unit 110 receives
1, I
2For example include respectively bigraph field f
0, f
2An and strange figure f
1, f
3, the GTG value of symbol 1 represent pixel point wherein, symbol ● the chromatic value of represent pixel point, and symbol
Represent the GTG value of the target pixel points of wanting interpolation in the present embodiment.
In interleaving mode, bigraph field and strange figure field only include respectively the data of interlacing in the raw video picture.The bigraph field can show the image signal of even-line interlace line, and strange figure the image signal that can show odd-numbered scan lines, and both are staggered demonstrations.Because bigraph field and strange figure field only include respectively the data of interlacing in the raw video picture, therefore, with regard to same figure field, the color information on vertical direction only has originally half, and neighbor pixel is common with reference to a chromatic value.So, when reverting image, the essential interpolation of image processor 100 lacks the chromatic value of the pixel of chromatic value.
For example,, at bigraph field f
2In, the pixel P on vertical direction
0, P
2Common reference image vegetarian refreshments P
0Chromatic value; Pixel P
4, P
6Common reference image vegetarian refreshments P
4Chromatic value, by that analogy.So, the essential interpolation pixel P in image interpolation unit 120
2, P
6Chromatic value, with reverting image.
In Fig. 2, if the interpolation target of image interpolation unit 120 is image frame I
2, with regard on time relationship, image frame I
1For its toe-out image frame.On the contrary, if the interpolation target of image interpolation unit 120 is image frame I
1, with regard on time relationship, image frame I
2For its posttension image frame.In the present embodiment, the interpolation target of image interpolation unit 120 is for example image frame I
2Pixel P
2(in Fig. 2 with
Mean), so image frame I
1For image frame I
2The toe-out image frame.
As toe-out image frame I
1On object while moving, at image frame I thereafter
2Upper corresponding pixel, its pixel value also can produce significant variation difference.For example, at Qi Tuchang f
1In, as corresponding pixel points P
3' object of position is while moving, a strange figure f
3Pixel P
3GTG value and chromatic value and pixel P
3' GTG value and chromatic value compare, can have a pixel value difference be changed significantly (GTG difference or colourity difference) between the two.Similarly, at bigraph field f
0In, as corresponding pixel points P
4' object of position is while moving, bigraph field f
2On pixel P
4GTG value and chromatic value and pixel P
4' GTG value and chromatic value compare and also have a pixel value difference (GTG difference or colourity difference) between the two.
Therefore, in the present embodiment, as toe-out image frame I
1On object while moving, image detecting unit 110 is for example compared pixels point P
3' and P
3Or P
4' and P
4Pixel value, to obtain pixel value difference.In the present embodiment, image detecting unit 110 is that to take relatively toe-out image frame and target image picture be example, and the present invention is not limited to this.In other embodiments, image detecting unit 110 also can compare posttension image frame and target image picture, or compares toe-out and posttension image frame and target image picture simultaneously, and obtains pixel value difference.
Therefore, whether image detecting unit 110 has mobile mobile detection mode with the object on above-mentioned detecting image picture, decide the pixel value difference of the pixel value of target image picture and its toe-out or posttension image frame, and then determine the weight value α of image mixed cell 130 reverting image time institute reference.
In other words, the image detecting unit compares respectively strange figure field and the strange figure field of bigraph field and toe-out image frame and strange figure field and the bigraph field of bigraph field or posttension image frame of image frame, to obtain pixel value difference.And then, after obtaining pixel value difference, the image detecting unit produces weighted value more accordingly, and exports the image mixed cell to.
The pixel value difference that Fig. 3 is one embodiment of the invention and the mapping relations figure of weighted value.Please refer to Fig. 1 to Fig. 3, in the present embodiment, image detecting unit 110, after by above-mentioned mobile detection mode, determining pixel value difference, can, according to the mapping relations figure of Fig. 3, produce weight value α.Then, image mixed cell 130 is again being for example that the proportionate relationship of C_intra * α+C_inter * (1-α) is carried out reverting image.
For example, take dynamic image as example, the object on its image frame often has obvious change, so the pixel value difference D1 of image detecting unit 110 detecting gained is larger.According to Fig. 3, this pixel value difference D1 is mapped in α=1.So, when image mixed cell 130 reverting image, be for example to carry out reverting image with the proportionate relationship of C_intra * 1+C_inter * 0.Image mixed cell 130 now only according in the interpolation result of interpolation unit 122, carry out reverting image.
In addition, take static image as example, the object on its image frame is not significantly change usually, so the pixel value difference D2 of image detecting unit 110 detecting gained is less.According to Fig. 3, this pixel value difference D2 is mapped in α=0.So, when image mixed cell 130 reverting image, be for example to carry out reverting image with the proportionate relationship of C_intra * 0+C_inter * 1.Image mixed cell 130 now only according between the interpolation result of interpolation unit 124, carry out reverting image.
Therefore, according to the difference of image frame intensity of variation, the weight value α that image detecting unit 110 shines upon according to Fig. 3 also has the difference on degree.Be with, in exemplary embodiment of the present invention, image processor 100 can be according to the intensity of variation of image frame, adjust adaptively pixel value C_intra after interpolated with interpolation method in field and interpolated with interpolation method between field after pixel value C_inter between proportionate relationship, carry out reverting image, the flag that not needing to rely on the front end compressor circuit provides is carried out image reduction.So, even the front end compressor circuit is not correctly set the flag information, but image processor 100 still interpolation go out the high vertical resolution of color, effectively to promote the image output quality.
With regard to interpolation unit 124 between field, take the interpolation chromatic value as example, it is to carry out the chromatic value of interpolation target pixel points with interpolation method between field, between its midfield, the interpolation method is for example that between field, interpolation unit 124, with the chromatic value of toe-out or posttension same position pixel, comes interpolation to go out the chromatic value of target pixel points in the present embodiment.
In other words, when between, interpolation unit 124 is with the pixel value of interpolation method interpolation image frame between field, the pixel value according to target pixel points corresponding pixel in the strange figure field of the strange figure field of toe-out image frame or bigraph field or posttension image frame or bigraph field, the pixel value of interpolation target pixel points.
With regard to interpolation unit 122 in field, take the interpolation chromatic value as example, it is to carry out the chromatic value of interpolation target pixel points with interpolation method in field.When in, the interpolation unit is with the pixel value of interpolation method interpolation image frame in field, it is the pixel value according to the pixel value interpolation target pixel points of pixel contiguous around the target pixel points of image frame.
Specifically, the pixel schematic diagram of interpolation method in the field that Fig. 4 is one embodiment of the invention.Please refer to Fig. 1 to Fig. 4, shown in Fig. 4 is at image frame I
2Bigraph field f
2In, the target pixel points P of interpolation that interpolation unit 122 is wanted in
2And 8 pixel T, the B, L, R, the P that are close on every side
1", P
3", P
4" and P
5".
In Fig. 4, pixel P
1", T, P
3" article one line and the pixel P at place
4", B, P
5" the 3rd line at place, its GTG value and chromatic value all exist, and pixel L, P
2, the R place the second line only have the GTG value.Therefore, in the present embodiment, in, interpolation unit 122 will be by interpolation method interpolation target pixel points P in field hereinafter
2Chromatic value.
At first, at interpolation pixel P
2Chromatic value before, in, pixel P can first be determined in an interpolation unit 122
2The GTG value and around it GTG difference between GTG value of 8 contiguous pixels whether be greater than a grey scale critical value.For example, an interior interpolation unit 122 can calculate pixel P
2GTG value and the difference of the mean value of the GTG value of 8 contiguous pixels around it, then make comparisons with grey scale critical value, get both the greater as effective grey scale critical value.
Above-mentioned judgment mode, its source code illustration 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)
Wherein valid_th is effective grey scale critical value, and coring_th is grey scale critical value, and y
P2, y
P1 ", y
T, y
P3 ", y
L, y
R, y
P4 ", y
B, y
P5 "Be respectively pixel P
2GTG value and the GTG value of 8 contiguous pixels around it.
Then, an interior interpolation unit 122 is again according to pixel T, B, P
1", P
3", P
4", p
5" chromatic value between relation decide interpolation target pixel points P
2Chromatic value the time, the weighted value ω of pixel T.
For example,, if pixel P
1" chromatic value while approaching the chromatic value of pixel T, pixel T can obtain two weight numbers (vote).On the contrary, if pixel P
1" chromatic value while approaching the chromatic value of pixel B, pixel B can obtain two weight numbers.If pixel P
1" chromatic value and for example, during the chromatic value difference close (differ and be less than effective grey scale critical value valid_th) of pixel T, B, pixel T, B each can obtain a weight number.Similarly, pixel T, B are by pixel P
3", P
4", P
5" the weight number obtained also can be determined by aforesaid way.
For example, suppose pixel T, B, P
1", P
3", P
4", P
5" chromatic value be respectively 100,200,120,120,150,150, pixel T is respectively by pixel P
1", P
3", P
4", P
5" the weight numerical example that obtains 2,2,1,1 (summation weight number is 6) in this way, and pixel B is respectively by pixel P
1", P
3", P
4", P
5" the weight numerical example that obtains 0,0,1,1 (summation weight number is 2) in this way.
Therefore, interior interpolation unit 122 meeting decides interpolation target pixel points P according to the ratio of the summation weight number of pixel T, B
2Chromatic value the time, the weighted value ω of pixel T.
Above-mentioned judgment mode, its source code illustration 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}
Chroma wherein
P "Represent each pixel (P
1", P
3", P
4", P
5") chromatic value, chroma
T, chroma
BBe respectively the chromatic value of pixel T, B, and vote
T, vote
BFor obtained weight number.
After the weighted value ω that determines pixel T, a formula that interior interpolation unit 122 foundations are beneath is to target pixel points P
2Chromatic value carry out interpolation:
x＝ω×t+(1-ω)×b
Wherein x, t, b are respectively pixel P
2, T, B chromatic value.
Therefore, in the present embodiment, in, interpolation unit 122 is by interpolation method interpolation target pixel points P in above-mentioned field
2Chromatic value.
The flow chart of steps of the image treatment method that Fig. 5 is one embodiment of the invention.Please refer to Fig. 1 and Fig. 5, the image regulating method of the present embodiment comprises the steps.
At first, in step S500, by image detecting unit 110, the pixel value difference of detecting target image picture and its toe-out image frame or its posttension image frame, and according to pixel value difference output weighted value.
On the other hand, in step S502, by image interpolation unit 120, with interpolation method between interpolation method in field and field, the pixel value of interpolation image frame.
Then, in step S504, by image mixed cell 130, mix the pixel value interpolated with interpolation method in field according to weighted value and reach with the interpolated pixel value of interpolation method between field, with reverting image.
It should be noted, in the present embodiment, although the step S500 shown in Fig. 5 the invention is not restricted to this before step S502.Actual, while carrying out interpolation, step S500, S502 can carry out simultaneously.
In addition, the image regulating method of embodiments of the invention can be obtained enough teachings, suggestion and implementation in the narration of the exemplary embodiment of Fig. 1～Fig. 4, therefore repeats no more.
In sum, in exemplary embodiment of the present invention, image processor and image treatment method thereof decide the target image and the pixel value difference of its toe-out or posttension image of wish reduction in the mobile detection mode, and then weighted value during decision restore target image frame.Therefore, the flag that image processor does not need to rely on the front end compressor circuit and provides is carried out image reduction.Even the front end compressor circuit is not correctly set the flag information, but image processor still interpolation go out the high vertical resolution of color, effectively to promote the image output quality.
Although the present invention discloses as above with embodiment; but it is not in order to limit the present invention; any person of ordinary skill in the field; without departing from the spirit and scope of the present invention; when doing a little change and retouching, therefore protection scope of the present invention is as the criterion when looking the scope that claims define.
Claims (11)
1. an image processor comprises:
One image detecting unit, in order to detect a pixel value difference of an image frame and its toe-out image frame or its posttension image frame, and export a weighted value according to this pixel value difference;
One image interpolation unit, with interpolation method between an interior interpolation method and, the pixel value of this image frame of interpolation; And
One image mixed cell, mixing the pixel value interpolated with this interior interpolation method according to this weighted value reaches with the interpolated pixel value of interpolation method between this, to reduce this image frame, wherein this pixel value difference represents the image frame intensity of variation of this image frame and its toe-out image frame or its posttension image frame.
2. image processor according to claim 1, wherein this image interpolation unit comprises:
An interior interpolation unit, with the pixel value of this interior this image frame of interpolation method interpolation; And
Interpolation unit between one, with the pixel value of this image frame of interpolation method interpolation between this.
3. image processor according to claim 2, when wherein this interior interpolation unit is with the pixel value of this interior this image frame of interpolation method interpolation, according to the pixel value of this target pixel points of pixel value interpolation of pixel contiguous around a target pixel points of this image frame.
4. image processor according to claim 2, when wherein between this, the interpolation unit is with the pixel value of this image frame of interpolation method interpolation between this, according to the pixel value of a target pixel points of this image frame corresponding pixel in a strange figure of this toe-out image frame or a bigraph field or this posttension image frame a strange figure or a bigraph field, the pixel value of this target pixel points of interpolation.
5. image processor according to claim 1, wherein this image frame comprises a Qi Tuchang and a bigraph field, this image detecting unit respectively relatively this image frame should strange figure and a Qi Tuchang of this bigraph field and this toe-out image frame and a Qi Tuchang and bigraph field of a bigraph field or this posttension image frame, to obtain this pixel value difference.
6. image processor according to claim 1, wherein the pixel value of this image frame comprises GTG value, color-values or brightness value.
7. an image treatment method, be suitable for an image processor, and this image treatment method comprises:
Detect a pixel value difference of an image frame and its toe-out image frame or its posttension image frame, wherein this pixel value difference represents the image frame intensity of variation of this image frame and its toe-out image frame or its posttension image frame;
Export a weighted value according to this pixel value difference;
With interpolation method between an interior interpolation method and, the pixel value of this image frame of interpolation; And
Mixing the pixel value interpolated with this interior interpolation method according to this weighted value reaches with the interpolated pixel value of interpolation method between this, to reduce this image frame.
8. image treatment method according to claim 7, wherein at this with an interior interpolation method and interpolation method between this, in the step of the pixel value of this image frame of interpolation, during with the pixel value of this interior this image frame of interpolation method interpolation, according to the pixel value of this target pixel points of pixel value interpolation of pixel contiguous around a target pixel points of this image frame.
9. image treatment method according to claim 7, wherein at this with an interior interpolation method and interpolation method between this, in the step of the pixel value of this image frame of interpolation, during with the pixel value of this image frame of interpolation method interpolation between this, according to the pixel value of a target pixel points of this image frame corresponding pixel in a strange figure of this toe-out image frame or a bigraph field or this posttension image frame a strange figure or a bigraph field, the pixel value of this target pixel points of interpolation.
10. image treatment method according to claim 7, wherein this image frame comprises a Qi Tuchang and a bigraph field, at this, detect in the step of a pixel value difference of an image frame and its toe-out image frame or its posttension image frame, relatively being somebody's turn to do of this image frame very schemed field and a Qi Tuchang of this bigraph field and this toe-out image frame and a Qi Tuchang and a bigraph field of a bigraph field or this posttension image frame respectively, to obtain this pixel value difference.
11. image treatment method according to claim 7, wherein the pixel value of this image frame comprises GTG value, color-values or brightness value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010105138715A CN102457696B (en) | 2010-10-14 | 2010-10-14 | Image processing device and image processing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010105138715A CN102457696B (en) | 2010-10-14 | 2010-10-14 | Image processing device and image processing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102457696A CN102457696A (en) | 2012-05-16 |
| CN102457696B true CN102457696B (en) | 2013-12-04 |
Family
ID=46040300
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010105138715A Expired - Fee Related CN102457696B (en) | 2010-10-14 | 2010-10-14 | Image processing device and image processing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102457696B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104754266B (en) * | 2013-12-30 | 2018-11-13 | 杭州海康威视数字技术股份有限公司 | Intelligent FTP backups kinescope method and system |
| CN108093302B (en) * | 2017-12-25 | 2020-05-12 | 北京新片场传媒股份有限公司 | Method and system for compressing and transmitting video stream file |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW200634721A (en) * | 2005-03-31 | 2006-10-01 | Asustek Comp Inc | A color clone technology for video color enhancement |
| CN101031029A (en) * | 2007-04-04 | 2007-09-05 | 华为技术有限公司 | Method and apparatus for processing video image |
| CN101232597A (en) * | 2007-01-25 | 2008-07-30 | 佳能株式会社 | Motion estimation apparatus and control method thereof |
-
2010
- 2010-10-14 CN CN2010105138715A patent/CN102457696B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW200634721A (en) * | 2005-03-31 | 2006-10-01 | Asustek Comp Inc | A color clone technology for video color enhancement |
| CN101232597A (en) * | 2007-01-25 | 2008-07-30 | 佳能株式会社 | Motion estimation apparatus and control method thereof |
| CN101031029A (en) * | 2007-04-04 | 2007-09-05 | 华为技术有限公司 | Method and apparatus for processing video image |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102457696A (en) | 2012-05-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7203381B2 (en) | Image processing method, image processing apparatus, and image processing program | |
| EP2012527B1 (en) | Visual processing device, visual processing method, program, display device, and integrated circuit | |
| Chen et al. | A low-complexity interpolation method for deinterlacing | |
| US20060056515A1 (en) | Video evaluation device, frame rate determination device, video process device, video evaluation method, and video evaluation program | |
| CN103369208B (en) | Self adaptation interlace-removing method and device | |
| CN103119939B (en) | For identifying the technology of blocking effect | |
| EP2080362A2 (en) | Systems and methods for a motion compensated picture rate converter | |
| CN1536890A (en) | Adaptive alternation-removing method of dynamic image and its equipment | |
| Jeon et al. | Designing of a type-2 fuzzy logic filter for improving edge-preserving restoration of interlaced-to-progressive conversion | |
| CN102025960A (en) | Motion compensation de-interlacing method based on adaptive interpolation | |
| CN102457696B (en) | Image processing device and image processing method | |
| CN100505860C (en) | An adaptive interpolation method and device to maintain image resolution | |
| CN100346641C (en) | De-interlacing device capable of de-interlacing a video field adaptively and associated method | |
| TW200906167A (en) | Motion detecting method | |
| Jeon et al. | Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing | |
| CN102364933A (en) | Motion-classification-based adaptive de-interlacing method | |
| CN101309376B (en) | Method and device for eliminating alternate line | |
| CN103780863A (en) | High-resolution image generation method and device | |
| CN201222771Y (en) | High speed edge self-adapting de-interlaced interpolation device | |
| Jeon et al. | Fuzzy weighted approach to improve visual quality of edge-based filtering | |
| Wang et al. | A linear edge model and its application in lossless image coding | |
| KR101509552B1 (en) | Method for generating distances representative of the edge orientations in a video picture, corresponding device and use of the method for deinterlacing or format conversion | |
| US20120082394A1 (en) | Image processing apparatus and image processing method | |
| Chen et al. | An improvement of edge-adaptive image scaling algorithm based on sobel operator | |
| Chang et al. | A genetic algorithm approach to image sequence interpolation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20131204 Termination date: 20141014 |
|
| EXPY | Termination of patent right or utility model |