CN101540900A - Method for reducing block effect in video streaming - Google Patents
Method for reducing block effect in video streaming Download PDFInfo
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- CN101540900A CN101540900A CN 200810086545 CN200810086545A CN101540900A CN 101540900 A CN101540900 A CN 101540900A CN 200810086545 CN200810086545 CN 200810086545 CN 200810086545 A CN200810086545 A CN 200810086545A CN 101540900 A CN101540900 A CN 101540900A
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Abstract
A method for reducing the block effect in video stream comprises the following steps: receiving a frame in the video stream, wherein the frame comprises a plurality of macroblocks; and each macroblock of the plurality of the microblocks consists of four blocks; judging a block of which the quantization parameter in the frame is larger than the first threshold; according to the pixel difference value of two adjacent pixels positioned on both sides of a block boundary of the blocks, judging whether the block boundary is acute and whether the block boundary is a real image edge of an object in the frame; when the block boundary is acute and is not the real image edge of the object in the frame, according to the pixel difference value of the two adjacent pixel positioned on the both sides of the block boundary, selecting filter strength of deblocking calculation; and carrying out deblocking calculation on the blocks positioned on both sides of the block boundary.
Description
Technical field
The present invention is meant a kind of method that is used for reducing the block effect in the video flowing, refers to a kind of block effect that is present in the video flowing that detects especially, and removes the method for the block effect of being detected by adjustable filtering strength.
Background technology
Along with the quick evolution of the communication technology and computer technology, image is used and is become more and more diversified.Most image application (comprising visual telephone, Internet video and the digital television broadcasting etc. of video conference, mobile phone or public exchanging telephone network) all needs to use efficient data compression method, so that a large amount of image informations is transformed into the communication channel that is fit to be transmitted in narrower frequency range, and make in the image data after rebuilding the gratifying quality of image is arranged.
In order to compress, all must lower in time domain (Temporal Domain) and the redundancy (Redundancy) on two-dimensional space quadrant (Two Dimensional Spatial Domain) to time dependent video sequence as far as possible.In MPEG (Moving Picture Experts Group) standard, be to use discrete cosine transform (Discrete Cosine Transform, DCT) be reduced in redundancy on the two-dimensional space quadrant, and use the mode of motion compensation (Motion Compensation) to be reduced in redundancy on the time field.
In the known video compress technique; usually can (or be called block for the unit of 8x8 pixel in the sampled one-tenth size of input data; Block) carry out the DCT conversion afterwards again, conversion parameter (DCTCoefficients) then quantizes to draw through the mode that the quantized value (QuantizationValues) that uses in the quantization table (Quantization Table) reaches corresponding to visual characteristic (Visual Property).Next, (Run Length Coding RLC) compresses data to see through run length coding.Thus, see through the data that DCT handles and to be converted to frequency field (Frequency Domain) from space field (Spatial Domain), and quantize to compress at the visual characteristic that human eye institute can't discover.For instance, because human eye is not sharper for the variation of high frequency, so high frequency coefficient can quantize through bigger step size (Step Size).That is, quantization table can decide according to external parameter (ExternalParameters), the situation of display characteristic (Display Characteristic), viewing distance (Watching Distance) and noise etc. for example is to carry out suitable quantification work.
Please refer to Fig. 1, Fig. 1 shown in the above-mentioned MPEG compression, the schematic diagram of a plurality of adjacent 8x8 block of pixels 100,102,104.When handling movable image, these blocks 100,102,104 can be by individual treated, to increase compression ratio (Compression Ratio) and code efficiency (CodingEfficiency).Yet, this " individual other " processing mode, what can cause that block border (BlockBoundary) between block becomes is comparatively obvious, and perceptible " block effect " (Blocking Artifacts) occur.All can produce square formula type sample (SquarePatterns, that is block effect) at horizontal zone block boundary 106 and vertical area block boundary 108, and be discovered out by human eye easily.
Tradition based on (block-based) video compression standard of block calculation in, as MPEG-2, block effect is the artificial image fault (Artifact) that the easiest a kind of quilt is discovered out.Therefore, scientific and technological circle develop successively and several methods that can reduce block effect in decode system (individual block is handled respectively).For example, can will go block filter (De-blocking filter) by loop filter (Loop filter) or the form of back system filter (Post filter) is incorporated in the decode system.Be different from loop filter, back system filter can carry out de-blocking filtering to decoded bit stream and handle outside the decoding loop of decode system.Thus, system filter in back can use in the lump with video compression standard originally.In other words, system filter in back can see through multiple possible implementation, be integrated at an easy rate any standard decoder in.
As shown in Figure 1, after the MPEG-2 decoder was to picture codec, block effect can appear on the block border of 8x8 block of pixels.Then, known back system filter can go block processes to blocks all in this picture, with tangible separator bar between the desalination block, and then promotes the quality of image in the picture.Yet in fact, the block border that is not all block of pixels all is tangible separator bar (that is block effect) for human eye, and the block in also therefore not all picture all needs block processes.In this case, if do not carry out any block detecting or selection in advance, and directly when all blocks go block processes in the picture, the block that will make some originally not need to do block processes fogs, and the computational resource that consumption systems is unnecessary, cause can't the optimization decode system efficient.
In addition, because the video flowing that decode system received may have different image characteristics, or may be produced by different image sources, for example: DVD or Digital Television etc., therefore if all 8x8 block of pixels are gone block processes with identical filtering strength, then may have the phenomenon of image fog or go the situation of block processes undercapacity that (being still to have obvious separator bar between block) takes place, and then influence the quality of overall image.Yet because the application of MPEG more and more widely (for example: DVD and Digital Television etc.), the demand of going the block filtering technique that can use for the mpeg coded video medium also becomes important extraordinarily.
Summary of the invention
Therefore, main purpose of the present invention promptly is to provide a kind of method and relevant apparatus thereof that is used for reducing the block effect in the video flowing.
The present invention discloses a kind of method that is used for reducing the block effect in the video flowing, and this method includes the picture that receives in this video flowing, and this picture includes a plurality of macro blocks, and each macro block of these a plurality of macro blocks is made up of four blocks; Find out in this picture quantization parameter greater than the block of first threshold; Whether the pixel according to adjacent two pixels of the block border both sides that are positioned at these blocks is poor, judge that this block border is whether sharp keen and be the real image edge of object in this picture; In this block border is sharp keen and during for the real image edge of object in this picture, poor according to the pixel of adjacent two pixels of these block border both sides, selects to go the filtering strength of block computing; And the block that is positioned at these block border both sides is carried out this go the block computing.
Description of drawings
Fig. 1 shows the schematic diagram of a plurality of adjacent 8x8 block of pixels in the known MPEG compression;
Fig. 2 is used for reducing the schematic diagram of the flow process of the block effect in the video flowing for the present invention;
The 3rd figure is the decompress schematic diagram of a plurality of adjacent macroblocks in the picture that produces of the MPEG-2 decoder of the embodiment of the invention;
The 4th figure and the 5th figure are respectively the schematic diagram that being positioned at of the embodiment of the invention has a plurality of pixels of the vertical area block boundary of block effect and horizontal zone block boundary both sides;
The 6th figure and the 7th figure be respectively the embodiment of the invention go before the block computing and go the block computing after corresponding to the schematic diagram of the pixel value of the pixel of block border both sides; And
The 8th figure is the functional block diagram of the video decoding system of the embodiment of the invention.
The primary clustering symbol description
100,102,104 blocks
106 horizontal zone block boundaries
108 vertical area block boundaries
20 flow processs
200,210,220,230,240,250,260 steps
MB1～MB9 macro block
P1～P8 pixel
The pix_diff pixel value difference
TH2 second threshold value
TH3 the 3rd threshold value
80 video decoding systems
81 Video Decoders
82 remove block device
83 memories
810 variable-length code (VLC) decoders
820 inverse quantization unit
830 anti-discrete cosine converting units
840 motion compensation units
Embodiment
Please refer to Fig. 2, Fig. 2 is used for reducing the schematic diagram of the flow process 20 of the block effect in the video flowing for the present invention.Flow process 20 is the video flowings that decoder produced that are used to meet Moving Picture Experts Group-2, and it includes the following step:
Step 200: beginning.
Step 210: receive the picture in this video flowing.
Step 220: judge that quantization parameter is greater than the block of first threshold in this picture.
Step 230:, judge this block border whether sharp keen (Sharp) and whether be the real image edge (Real Edge) of object in this picture according to the pixel value difference of adjacent two pixels of the block border both sides that lay respectively at these blocks.
Step 240: select to go the filtering strength of block computing.
Step 250: the block that is positioned at these block border both sides is carried out this go the block computing.
Step 260: finish.
According to flow process 20, behind the picture of the present invention in receiving this video flowing, at first find out and have the block of quantization parameter (Quantization Parameter) in this picture greater than first threshold.Then, the present invention judges according to the pixel value difference of adjacent two pixels of the block border both sides that lay respectively at these blocks whether whether sharp keen reaching is the real image edge of object in this picture to this block border.When this block border is sharp keen and is not the real image edge of object in this picture, the present invention can be according to the pixel value difference of adjacent two pixels that lay respectively at these block border both sides, select suitably to go the filtering strength of block computing, and the block of these block border both sides is carried out this go the block computing.Wherein, this picture in this video flowing includes a plurality of macro blocks (Macro-block), and each macro block of these a plurality of macro blocks is made up of four 8x8 block of pixels.
Therefore, the present invention is before carrying out the de-blocking filtering processing, the decoded information (as quantization parameter) and the image characteristics (as the pixel value difference between block) of decoding and producing according to the MPEG-2 decoder, detect the block and the block border thereof that have block effect in this picture, significantly to promote the efficient of decode system.In addition, the present invention carries out the de-blocking filtering computing by adjustable filtering strength to the relevant block with block effect, removing block effect effectively, and obtains the required quality of image.About the detail operations of flow process 20 of the present invention, please continue with reference to following explanation.
Usually know known to the knowledgeable as this area tool, the decoded information that the MPEG-2 decoder is decoded and produced, as in the picture corresponding to the information such as quantization parameter of each macro block, generally can in the process that this video flowing is decompressed, obtain.Wherein, quantization parameter is big more, and it is also big more that representative is used for the step size (StepSize) of quantizing pixel value, has therefore that the block of relatively largeization parameter is relatively also easy more to form block effect with other block.Therefore, the present invention is by judging that quantization parameter detects the block (step 220) that may have block effect in advance, and the block border of these blocks carried out the subsequent step of flow process 20 greater than the block of this first threshold in the picture.
Please refer to Fig. 3, Fig. 3 is the decompress schematic diagram of a plurality of adjacent macroblocks MB1～MB9 in the picture of generation of the MPEG-2 decoder of the embodiment of the invention.In the 3rd figure, each macro block of macro block MB1～MB9 is made up of four 8x8 block of pixels.For instance, if the quantization parameter of macro block MB5 is greater than this first threshold, the present invention then judges on the block border of each block among the macro block MB5 may have block effect, that is to say, the block of the block border both sides of its each block (that is the dash area block among the 3rd figure), all need carry out the subsequent step of flow process 20, to eliminate the block effect that may exist.Because the de-blocking filtering computing generally is respectively vertical area block boundary and horizontal zone block boundary with block effect to be handled, therefore when handling the vertical area block boundary, the quantization parameter that in the two adjacent region pieces block is arranged about needing only is greater than this first threshold, and the present invention then judges between these adjacent two blocks may have block effect; Similarly, when the processing horizontal block border, as long as the quantization parameter that in the two adjacent region pieces block is arranged is greater than this first threshold up and down, then this horizontal zone block boundary between these adjacent two blocks is judged as and may has block effect, and needs to carry out the subsequent step of flow process 20.Preferably, in the present invention this first threshold is not a certain value, and it can adjust according to the needs of the actual quality of image and treatment efficiency.
Therefore, when the block border of a block in the picture has been judged block effect and has existed, the present invention can be according to the pixel value difference of adjacent two pixels of the block border both sides that are positioned at this block, judges this block border whether sharp keen (Sharp) and whether be the real image edge (step 230) of object in this picture.For instance, please refer to Fig. 4 and Fig. 5, Fig. 4 and Fig. 5 are respectively the schematic diagram that the embodiment of the invention is positioned at the pixel P1～P8 of vertical area block boundary with block effect and horizontal zone block boundary both sides.At first, the present invention calculates the pixel value difference pix_diff of adjacent two pixels that are positioned at the block border both sides, that is the margin of image element between pixel P4 and P5 among Fig. 4 and Fig. 5, wherein, pixel value difference pix_diff is preferably with one on the occasion of expression, and it is the absolute value that is equal to real pixel difference between pixel P4 and P5.If pixel value difference pix_diff is greater than the second threshold value TH2, the present invention judges that then this block border is sharp keen, and judges then whether this block border is the real image edge of object in this picture.Preferably, in the present invention this second threshold value is not a certain value, and it also can adjust according to the needs of the actual quality of image and treatment efficiency.
Next, the present invention judges according to pixel value pix_diff whether this block border is the real image edge of object in this picture.If this pixel value difference pix_diff is multiplied by the product of the quantization parameter gained of this block border both sides block respectively less than the 3rd threshold value TH3, judge that then this block border is not the real image edge of object in this picture.Up to the present, if this block border is judged as sharp keen and during for the real image edge of object in this picture, represent and have the block defective on this block border really, the block that therefore is positioned at these block border both sides must carry out follow-up de-blocking filtering computing; On the contrary, if this block border is the real image edge of object in this picture, then this block border need not gone the block computing, to avoid causing the situation of image fog.
Preferably, the present invention can be in advance according near the smoothness of image this block border (or claiming area image characteristic), decide the 3rd threshold value TH3, the 3rd threshold value TH3 can be selected by the first default value group, and this first default value group includes numerical value such as 0.5,1,1.5,2 and 2.5.For instance, when near image this block border is when belonging to smooth region (Smooth Region), the value differences that is positioned at two adjacent pixels of these block border both sides generally may be that block effect causes, rather than the real image edge of object in this picture.Therefore, for the smooth region in this picture, the 3rd threshold value TH3 can select higher value.On the contrary, when near image this block border is when belonging to complex region (ComplexRegion), the value differences that is arranged in two adjacent pixels of these block border both sides then probably is the real image edge of picture object, and therefore the 3rd threshold value TH3 can select smaller value relatively.Therefore, the present invention can correctly detect the block that has block effect according to area image characteristic and quantization parameter, carrying out follow-up de-blocking filtering computing, and then avoids the situation of excessive fuzzy image or filtering strength deficiency to take place.
When block border is judged as sharp keen and during for the real image edge of object in this picture, the present invention must carry out the de-blocking filtering computing to the block of these block border both sides, there is block effect on this block border with reduction, and then improves the quality of image.For instance, the present invention can select the filtering strength (step 240) that goes the block computing corresponding to this block border both sides block according to the pixel value difference pix_diff of adjacent two pixels that are positioned at these block border both sides.Preferably, this filtering strength that goes the block computing is the demand according to image quality, the pixel value difference pix_diff of adjacent two pixels of these block border both sides is multiplied by a plurality of different weights, go the accuracy and the elasticity of block computing with lifting, wherein, these a plurality of weights can be selected by the second default value group, and this second default value group includes numerical value such as 1/8,2/8,3/8,4/8,5/8,6/8,7/8,8/8,9/8 and 10/8, and is not limited thereto.
After suitably selecting to remove the filtering strength of block computing, the present invention begins adjacent two blocks of these block border both sides are carried out de-blocking filtering computing (step 250).In known techniques, go block processes at four corresponding pixels of these block border both sides, that is the pixel P1 among Fig. 4 and Fig. 5～P8, the present invention can be according near the smoothness (or claiming the area image characteristic) of image this block border, determine the filter range that this goes the block computing, suitably to change the pixel value of this corresponding quantity in block border both sides.For example, when near image this block border is when belonging to smooth region, this goes the filter range of block computing to comprise to be arranged in three corresponding pixels of this block border both sides block, that is the pixel P2 among Fig. 4 and Fig. 5～P7; On the contrary, when near image this block border is when belonging to complex region, this goes the filter range of block computing then only to comprise to be arranged in two corresponding pixels of this block border both sides block, that is the pixel P3 among Fig. 4 and Fig. 5～P6, with sharpness or the excessive fuzzy image of avoiding reducing image in the picture.
On the other hand, if this picture is an alternating expression (Interlaced) image frame, the present invention can carry out this to strange figure field (Odd Image Field) and bigraph field (Even Image Field) respectively and go the block computing.That is to say, in handling the alternating expression picture during horizontal zone block boundary, the present invention can carry out the de-blocking filtering processing to odd column pixel and even column pixel respectively, for example: this is carried out when going the block computing in strange figure field, this filter range of going the block computing is to comprise to be positioned at this horizontal zone block boundary two corresponding odd column pixels of both sides up and down, that is the pixel P1 among Fig. 5, P3, P5 and P7; And the dual graph field is when going the block computing, and this goes the filter range of block computing then to comprise to be positioned at this horizontal zone block boundary two corresponding even column pixels of both sides up and down, that is pixel P2, P4, P6 and P8 among Fig. 5.
At last, go the filter range of block computing according to this, the present invention can see through institute and suitably select filtering strength, increases or reduce the pixel value of two corresponding pixels that are positioned at these block border both sides respectively, dwindling its value differences, and then reduce the block effect that exists on this block border.That is to say, two formed pixel centerings of corresponding pixel, the pixel with less pixel value is in carrying out this when going the block computing, and its pixel value will increase corresponding filtering strength, the pixel value of another pixel then can deduct this filtering strength, to dwindle the right value differences of this pixel.Preferably, the present invention can adjust all reformed pixel values after finishing this and going the block computing, is located between 0 to 255.
Please refer to Fig. 6 and Fig. 7, Fig. 6 and Fig. 7 be respectively the embodiment of the invention go before the block computing and go the block computing after corresponding to the schematic diagram of the pixel value of the pixel P1～P8 of block border both sides.In Fig. 6 and Fig. 7, pixel P1～P8 is corresponding to the pixel P1 among Fig. 4 and Fig. 5～P8, and this block border then can be vertical area block boundary or horizontal zone block boundary.Suppose pixel P4 and P5 between pixel value difference pix_diff be not the real image edge of object in the picture greater than the second threshold value TH2 and this block border, the embodiment of the invention can be carried out a de-blocking filtering computing to pixel P1～P8 according to the area image characteristic of this block border.In the present embodiment, when if image is a complex region near this block border, the embodiment of the invention can see through suitable filtering strength, and each two the corresponding pixel that is positioned at these block border both sides are carried out this de-blocking filtering computing (being pixel to P4 and P5 and pixel to P3 and P6).If corresponding to pixel P4 and P5 and pixel are selected as following two numerical value shown in the 7th figure respectively to the filtering strength of P3 and P6: (4/8*pix_diff) reach (2/8*pix_diff), then the pixel value of pixel P4 and P5 will increase and reduce (4/8*pix_diff) respectively, and the pixel value of pixel P3 and P6 then increases and reduce (2/8*pix_diff) respectively.Thus, the embodiment of the invention can reduce the value differences of block border both sides, and then reduces the block effect that exists on this block border.
Therefore, the present invention is before carrying out the de-blocking filtering processing, the decoded information (as quantization parameter) and the image characteristics (as the pixel value difference between block) of decoding and producing according to the MPEG-2 decoder, detect the block and the block border thereof that have block effect in this picture, significantly to promote the efficient of decode system.In addition, the present invention carries out the de-blocking filtering computing by adjustable filtering strength to the relevant block with block effect, removing block effect effectively, and the quality of optimization image.
Please refer to Fig. 8, Fig. 8 is the functional block diagram of the video decoding system 80 of the embodiment of the invention.Video decoding system 80 includes Video Decoder 81, removes block device 82 and memory 83.Video Decoder 81 is the decoders that meet Moving Picture Experts Group-2, it includes variable-length code (VLC) (Variable LengthCode, VLC) decoder 810, inverse quantization (Inverse Quantization) unit 820, anti-discrete cosine converting unit 830 and motion compensation units 840.The associative operation of Video Decoder 81 is that this area tool knows that usually the knowledgeable knows, and does not give unnecessary details in this.Memory 83 is coupled to Video Decoder 81, the decoded information (for example quantization parameter etc.) that is used for storing in the MPEG-2 decompression process and is produced.After the MPEG-2 video flowing saw through Video Decoder 81 receptions and decoding, video decoding system 80 can input to block device 82 with the decoded video stream that Video Decoder 81 is produced, with the filtering block effect.
It should be noted that block device 82 is to be used for realizing flow process 20 of the present invention, its associative operation repeats no more, and this area tool knows that usually the knowledgeable can realize removing block device 82 by any hardware or software, all belongs to scope of the present invention as long as have identical function.
In sum, the present invention provides a kind of method that reduces the block effect in the video flowing, and it is present in block effect in the video flowing in order to detecting, and reduces the block effect of being detected by adjustable filtering strength.In addition, all parameters among the present invention all can be adjusted according to the needs of the quality of image and treatment efficiency, therefore can significantly promote the accuracy and the elasticity of de-blocking filtering computing.
The above only is the preferred embodiments of the present invention, and all equalizations of being done according to claim scope of the present invention change and modify, and all should belong to covering scope of the present invention.
Claims (13)
1. method that is used for reducing the block effect in the video flowing, this method comprises:
Receive the picture in this video flowing, this picture includes a plurality of macro blocks, and each macro block of these a plurality of macro blocks is made up of four blocks;
Find out in this picture quantization parameter greater than the block of first threshold;
According to the pixel value difference of adjacent two pixels of the block border both sides that are positioned at these blocks, judge that this block border is whether sharp keen and whether be the real image edge of object in this picture;
In this block border is sharp keen and during for the real image edge of object in this picture, according to the pixel value difference of adjacent two pixels of these block border both sides, selects to go the filtering strength of block computing; And
The block that is positioned at these block border both sides is carried out this go the block computing.
2. the method for claim 1, wherein this first threshold is adjusted according to the required quality of image and treatment efficiency.
3. the method for claim 1, wherein according to the pixel value difference of adjacent two pixels of these block border both sides that are positioned at these blocks, judge that this block border is whether sharp keen and whether be that the real image edge of object in this picture comprises:
According to the pixel value difference and second threshold value of adjacent two pixels of these block border both sides, judge whether this block border is sharp keen; And
According to the quantization parameter of pixel value difference, the 3rd threshold value and this block border both sides block of adjacent two pixels of these block border both sides, judge whether this block border is the real image edge of object in this picture.
4. method as claimed in claim 3, wherein this second threshold value is to adjust according to the required quality of image and treatment efficiency.
5. method as claimed in claim 3, wherein the 3rd threshold value is to adjust according near the smoothness of image this block border, the required quality of image and treatment efficiency.
6. method as claimed in claim 5, wherein the 3rd threshold value is by the selected numerical value of the first default group, this first default group includes 0.5,1,1.5,2 and 2.5.
7. the method for claim 1, wherein this filtering strength that goes the block computing is that the pixel value difference of adjacent two pixels of these block border both sides is multiplied by the selected numerical value by the second default group, and this second default group includes 1/8,2/8,3/8,4/8,5/8,6/8,7/8,8/8,9/8 and 10/8.
8. the method for claim 1 also comprises:
Judge near the smoothness of the image of this block border of these blocks.
9. method as claimed in claim 8, wherein the block that is positioned at these block border both sides is carried out this and go the block computing to comprise:
Image is judged as when level and smooth near this block border, according to selected filtering strength, adjusts the pixel value difference that is arranged in three corresponding pixels of this block border both sides block; And
When image is judged as complexity near this block border,, adjust the pixel value difference that is arranged in two corresponding pixels of this block border both sides block according to selected filtering strength.
10. method as claimed in claim 8, wherein the block that is positioned at these block border both sides being carried out this, to go the block computing be according to selected filtering strength, adjusts the pixel value difference that is arranged in the corresponding pixel of this block border both sides block.
11. method as claimed in claim 8, wherein the block that is positioned at these block border both sides is carried out this and go the block computing, comprise: at this picture is alternating expression image frame and this block border when being the horizontal zone block boundary, and the strange figure field of both sides block and bigraph field are carried out this and gone the block computing up and down to this horizontal zone block boundary respectively.
12. method as claimed in claim 11, also comprise: image is judged as when level and smooth near this horizontal zone block boundary, adjusts respectively to be arranged in this horizontal zone block boundary pixel value difference of two corresponding odd column pixels of both sides block and the pixel value difference of two corresponding even column pixels up and down.
13. the method for claim 1, wherein this video flowing is produced by the decoder that meets Moving Picture Experts Group-2.
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| CN103947208A (en) * | 2011-09-13 | 2014-07-23 | 联发科技股份有限公司 | Method and apparatus for reduction of deblocking filter |
| CN104717478A (en) * | 2015-02-04 | 2015-06-17 | 四川长虹电器股份有限公司 | Method for detecting and repairing blocking effect in 3D player |
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| CN108337509A (en) * | 2018-04-06 | 2018-07-27 | 北京慧摩尔科技有限公司 | The noise-reduction method and device of block distortion |
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| CN103947208A (en) * | 2011-09-13 | 2014-07-23 | 联发科技股份有限公司 | Method and apparatus for reduction of deblocking filter |
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| CN108337509A (en) * | 2018-04-06 | 2018-07-27 | 北京慧摩尔科技有限公司 | The noise-reduction method and device of block distortion |
| CN108521575A (en) * | 2018-04-06 | 2018-09-11 | 天津米步科技有限公司 | The noise-reduction method and device of picture noise |
| CN108521575B (en) * | 2018-04-06 | 2019-12-27 | 天津米步科技有限公司 | Method and device for reducing noise of image noise |
| CN113556541A (en) * | 2020-04-24 | 2021-10-26 | 瑞昱半导体股份有限公司 | Image processing method and related encoder |
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