CN108881907A - Pixel filter method and apparatus and method for video coding for coding and decoding video - Google Patents
Pixel filter method and apparatus and method for video coding for coding and decoding video Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/117—Filters, e.g. for pre-processing or post-processing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/103—Selection of coding mode or of prediction mode
- H04N19/105—Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/182—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a pixel
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/593—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques
Abstract
The present invention relates to the pixel filter method and apparatus and method for video coding for coding and decoding video.The pixel filter method includes：Take two column pixels of the two row pixels and left side above video block to be predicted as row reference sample and column reference sample respectively；And it for the pixel on the row reference sample and column reference sample close to video block to be predicted, is filtered according to the corresponding filter patterns of the Intra prediction mode selection of pixel.According to the method for the present invention and device, the prediction direction in coding and decoding video can be better adapted to, video compression ratio is improved.
Description
Technical field
The present invention relates to coding and decoding video fields, relate more specifically to a kind of pixel filter method for coding and decoding video
With device and video coding-decoding method.
Background technique
Reference sample is filtered for intra prediction in coding and decoding video field.Such as Fig. 1, show in the frame of HEVC
The schematic diagram of prediction mode.It can be seen that the intra prediction of HEVC shares 35 kinds of prediction modes, MODE NUMBER respectively correspond for：
0：Planar (plane) mode, 1：DC (mean value) mode, 2-34：33 kinds of angle prediction modes.
In general, prediction block arranges its left side one and the pixel of a line above is as reference sample (pixel), to ginseng
It examines pixel to be filtered, then according to filtered reference pixel and prediction mode, calculates the prediction picture of Current Transform unit
Element value.
The invention proposes a kind of improved pixel filter method and apparatus and video coding-decoding methods.
Summary of the invention
Brief summary of the present invention is given below, in order to provide the basic reason about certain aspects of the invention
Solution.It should be appreciated that this summary is not an exhaustive overview of the invention.It is not intended to determine key of the invention
Or pith, nor is it intended to limit the scope of the present invention.Its purpose only provides certain concepts in simplified form, with
This is as the preamble in greater detail discussed later.
A primary object of the present invention is, provides a kind of pixel filter method for coding and decoding video, including：
Take two column pixels of the two row pixels and left side above video block to be predicted as row reference sample and column reference sample respectively；With
And for the pixel on the row reference sample and column reference sample close to video block to be predicted, according to the intra prediction mode of pixel
Corresponding filter patterns are selected to be filtered.
According to an aspect of the invention, there is provided a kind of method for video coding, pixel filter as described above
Method carries out coded treatment to video block to be encoded.
According to another aspect of the invention, a kind of video encoder is provided, for executing Video coding as described above
Method.
In accordance with a further aspect of the present invention, a kind of picture decoding method is provided, as described above pixel filter side
Method treats decoded video block and is decoded processing.
According to another aspect of the invention, a kind of image decoder is provided, for executing image decoding as described above
Method.
According to a further aspect of the invention, a kind of pixel filter device for coding and decoding video is provided, including：With reference to
Sample extraction unit is configured to take two column pixels of the two row pixels and left side above video block to be predicted as row ginseng
Examine sample and column reference sample；And filter unit, it is configured as the row reference sample and column close to video block to be predicted
Pixel on reference sample is filtered according to the corresponding filter patterns of the Intra prediction mode selection of pixel.
In addition, according to another aspect of the present invention, additionally providing a kind of storage medium.The storage medium includes that machine can
The program code of reading, when executing said program code on information processing equipment, said program code makes at the information
Equipment is managed to execute according to the above method of the present invention.
In addition, in accordance with a further aspect of the present invention, additionally providing a kind of program product.Described program product includes that machine can
The instruction of execution, when executing described instruction on information processing equipment, described instruction executes the information processing equipment
According to the above method of the present invention.
By the detailed description below in conjunction with attached drawing to highly preferred embodiment of the present invention, these and other of the invention is excellent
Point will be apparent from.
Detailed description of the invention
Below with reference to the accompanying drawings illustrate embodiments of the invention, the invention will be more easily understood it is above and its
Its objects, features and advantages.Component in attached drawing is intended merely to show the principle of the present invention.In the accompanying drawings, identical or similar
Technical characteristic or component will be indicated using same or similar appended drawing reference.
Fig. 1 shows the schematic diagram of the intra prediction mode of HEVC；
Fig. 2 shows showing for the pixel filter method 200 according to an embodiment of the invention for coding and decoding video
The flow chart of example property process；
Fig. 3 shows the schematic diagram of the reference sample of video block to be predicted and extraction；
Fig. 4 A shows the schematic diagram of eight kinds of filter patterns for row reference sample, and Fig. 4 B is shown for column with reference to sample
The schematic diagram of this eight kinds of filter patterns；
Fig. 5 shows the topology example of encoder；
Fig. 6 shows the topology example of decoder；
Fig. 7 is the pixel filter device 700 for coding and decoding video shown according to another embodiment of the invention
The block diagram of exemplary configuration；And
Fig. 8 is to show the calculating that can be used for implementing the pixel filter method and apparatus for coding and decoding video of the invention
The exemplary block diagram of equipment.
Specific embodiment
Exemplary embodiment of the invention is described hereinafter in connection with attached drawing.For clarity and conciseness,
All features of actual implementation mode are not described in the description.It should be understood, however, that developing any this actual implementation
Much decisions specific to embodiment must be made during example, to realize the objectives of developer, for example, symbol
Restrictive condition those of related to system and business is closed, and these restrictive conditions may have with the difference of embodiment
Changed.In addition, it will also be appreciated that although development is likely to be extremely complex and time-consuming, to having benefited from the disclosure
For those skilled in the art of content, this development is only routine task.
Here, and also it should be noted is that, in order to avoid having obscured the present invention because of unnecessary details, in the accompanying drawings
Illustrate only with closely related device structure and/or processing step according to the solution of the present invention, and be omitted and the present invention
The little other details of relationship.
The invention proposes a kind of improved pixel filter methods for coding and decoding video, by utilizing two tops
The column reference sample of row reference sample and two left sides, and pixel is filtered according to intra prediction mode.According to
Method of the invention brings the gain of some bit rates in the increased situation of negligible complexity.
The pixel filter method for coding and decoding video of embodiment according to the present invention is described in detail with reference to the accompanying drawing
And device.It is discussed below to carry out in the following order：
1. being used for the pixel filter method of coding and decoding video
2. being used for the pixel filter device of coding and decoding video
3. to the calculating equipment for implementing the present processes and device
[1. are used for the pixel filter method of coding and decoding video]
Fig. 2 shows showing for the pixel filter method 200 according to an embodiment of the invention for coding and decoding video
The flow chart of example property process.
In step S202, take two column pixels of the two row pixels and left side above video block to be predicted as row ginseng respectively
Examine sample and column reference sample.
This 4 row (column) reference sample can be stored to buffer and be further used.
A line is replaced with two lines, and height and width are identical as a line.Replacement about sample is referred to
HEVC specification.
In step S204, for the pixel on the row reference sample and column reference sample close to predicted video block, according to
The corresponding filter patterns of the Intra prediction mode selection of pixel are filtered.
Fig. 3 shows the schematic diagram of the reference sample of video block to be predicted and extraction.Close to the row reference of predicted video block
Sample and column reference sample be in two rows in Fig. 3 below a line and the right in two column a column.
In one example, take the row reference sample of top width be predicted video block width 2 extraordinarily 1, and it is left
The height of the column reference sample on side is 2 times of the height of predicted video block.
In Fig. 3, the sample coordinate in be predicted piece current of the upper left corner is (0,0).(- 1, -1), (- 1,0), (- 1, -
2) and (- 2,0) be to be predicted piece of current outside reference sample.
Filtering when, for the pixel (- 2,0) on column reference sample, the pixel (- 1, -2) on row reference sample, (- 1, -
1) without filtering, original sample value or the sample of filling are used.Pixel (- 1,0) on column reference sample is passed
The HEVC of system is filtered.
For then carrying out following filtering in addition to others as discussed above sample.
For the pixel on the row reference sample close to video block to be predicted, based on its top a line, the column of the left side one and the right side
The weight at least one pixel in pixel that side one arranges carries out smothing filtering.
For the pixel on the column reference sample close to video block to be predicted, based on its left side one column, top a line and under
The weight of at least one pixel in the pixel of side a line carries out smothing filtering.
Used filter patterns include the multiple classifications difference divided with 33 kinds of angle intra prediction modes of HEVC
Corresponding a variety of filter patterns.
Preferably, 33 kinds of angle intra prediction mode 2-34 of HEVC are divided into 8 classifications, each classification is corresponding a kind of
Filter patterns.When being filtered, according to the current corresponding filter patterns of Intra prediction mode selection.For pre- in frame
Survey mode 0 and 1 does not use filtering method of the invention, and uses existing filtering method in HEVC；For intra prediction mode
2-34 selects corresponding filter patterns according to following table 1.
Table 1 shows the corresponding relationship of intra prediction mode and filter patterns.
Fig. 4 A shows the schematic diagram of eight kinds of filter patterns for row reference sample, and Fig. 4 B is shown for column with reference to sample
The schematic diagram of this eight kinds of filter patterns.In figures 4 a and 4b, solid dot indicates pixel samples to be filtered, dot
The number of top represents weight, and mode 1 indicates first mode, and so on.In each mode, the weight of filtering is different
's.
Specifically, the first filter patterns are：For row reference sample, pixel weight to be filtered is 4, left pixel weight
It is 2, right pixel weight is 2, and the pixel value of pixel to be filtered, left pixel and right pixel is distinguished weighted sum and is removed again
With predetermined integers；For column reference sample, pixel weight to be filtered is 4, and left pixel weight is 4, by pixel to be filtered and
The pixel value difference weighted sum of left pixel is again divided by predetermined integers.
Second filter patterns are：For row reference sample, pixel weight to be filtered is 5, and left pixel weight is 1,
Right pixel weight is 1, and upper right side pixel weight is 1, by pixel to be filtered, left pixel, right pixel and upper right side picture
The pixel value difference weighted sum of element is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 6, left side
Pixel weight is 1, and lower left side pixel weight is 1, and the pixel value of pixel to be filtered, left pixel and lower left side pixel is distinguished
Weighted sum is again divided by predetermined integers.
Third filter patterns are：For row reference sample, pixel weight to be filtered is 4, and upper right side pixel weight is 4,
By the difference weighted sum of the pixel value of pixel to be filtered and upper right side pixel again divided by predetermined integers；For column reference sample, to
Filtered pixel weight is 4, and lower left side pixel weight is 4, and the pixel value of pixel to be filtered and lower left side pixel is weighted respectively
Summation is again divided by predetermined integers.
4th filter patterns are：For row reference sample, pixel weight to be filtered is 6, and upside pixel weight is 1,
Upper right side pixel weight is 1, by the weighted sum of the pixel value of pixel to be filtered, upside pixel and upper right side pixel difference again divided by
Predetermined integers；For column reference sample, pixel weight to be filtered is 5, and upside pixel weight is 1, and downside pixel weight is
1, lower left side pixel weight is 1, and the pixel value of pixel to be filtered, upside pixel, downside pixel and lower left side pixel is distinguished
Weighted sum is again divided by predetermined integers.
5th filter patterns are：For row reference sample, pixel weight to be filtered is 4, and upside pixel weight is 4, will
The pixel value of pixel to be filtered and upside pixel distinguishes weighted sum again divided by predetermined integers；It is to be filtered for column reference sample
Pixel weight is 4, and upside pixel weight is 2, and downside pixel weight is 2, by pixel to be filtered, upside pixel and downside picture
The pixel value difference weighted sum of element is again divided by predetermined integers.
6th filter patterns are：For row reference sample, pixel weight to be filtered is 6, and upside pixel weight is 1,
Upper left side pixel weight is 1, by the weighted sum of the pixel value of pixel to be filtered, upside pixel and upper left side pixel difference again divided by
Predetermined integers；For column reference sample, pixel weight to be filtered is 5, and upside pixel weight is 1, and downside pixel weight is
1, upper left side pixel weight is 1, and the pixel value of pixel to be filtered, upside pixel, downside pixel and upper left side pixel is distinguished
Weighted sum is again divided by predetermined integers.
7th filter patterns are：For row reference sample, pixel weight to be filtered is 4, and upper left side pixel weight is 4,
By the difference weighted sum of the pixel value of pixel to be filtered and upper left side pixel again divided by predetermined integers；For column reference sample, to
Filtered pixel weight is 4, and upper left side pixel weight is 4, and the pixel value of pixel to be filtered and upper left side pixel is weighted respectively
Summation is again divided by predetermined integers.
8th filter patterns are：For row reference sample, pixel weight to be filtered is 5, and left pixel weight is 1,
Right pixel weight is 1, and upper left side pixel weight is 1, by pixel to be filtered, left pixel, right pixel and upper left side picture
The pixel value difference weighted sum of element is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 6, left side
Pixel weight is 1, and upper left side pixel weight is 1, and the pixel value of pixel to be filtered, left pixel and upper left side pixel is distinguished
Weighted sum is again divided by predetermined integers.
Preferably, predetermined integers 8.
For example, the value of pixel (solid dot) to be filtered is (4* solid dot+4* for the row reference sample under first mode
Left samples value)/8.
The present invention proposes a kind of pixel filter method, can be used for next-generation Video Codec.Side according to the present invention
Method can better adapt to the prediction direction in coding and decoding video, improve video compression ratio.
Fig. 5 is shown can be using the topology example of the encoder of pixel filter method according to the present invention.It is input to volume
Image in code device carries out image segmentation first, is divided into the block as minimal processing unit, and it is suitable to generate Z scanning
Sequence.Then, according to Z scanning sequency, intra prediction and inter-prediction are carried out to image, wherein intra prediction can use basis
Pixel filter method of the invention is realized.Then, according to prediction result, model selection is carried out.Finally, by pattern information, residual
Poor information etc. forms encoding code stream output.
Fig. 6 is shown can be using the topology example of the decoder of pixel filter method according to the present invention.It is input to solution
The code stream of code device carries out code stream analyzing first, and pattern information, residual information etc. are extracted from code stream.Then, image segmentation is carried out,
And generate Z scanning sequency.Then, model selection is carried out according to the pattern information extracted in code stream.According to the mode of selection, with
Z scanning sequency carries out intra prediction and inter-prediction, wherein intra prediction can use pixel filter side according to the present invention
Method is realized.Finally, carrying out image reconstruction according to prediction result and exporting the image of reconstruction.
The present invention is concerned with the pixel filter method and apparatus for coding and decoding video, for encoder and decoder
Specific structure no longer elaborates.
[2. are used for the pixel filter device of coding and decoding video]
Fig. 7 is the pixel filter device 700 for coding and decoding video shown according to another embodiment of the invention
The block diagram of exemplary configuration.
As shown in fig. 7, the pixel filter device 700 for coding and decoding video includes reference sample extraction unit 702 and filter
Wave unit 704.
Wherein, reference sample extraction unit 702 is configured to take two row pixels and a left side above video block to be predicted
Two column pixels of side are as row reference sample and column reference sample.
Filter unit 704 is configured as the picture on the row reference sample and column reference sample close to video block to be predicted
Element is filtered according to the corresponding filter patterns of the Intra prediction mode selection of pixel.
Wherein, filter patterns include that the multiple classifications divided with 33 kinds of angle intra prediction modes of HEVC respectively correspond
A variety of filter patterns.
Wherein, filter unit 704 is configured to：For the picture on the row reference sample close to video block to be predicted
The weight of element, at least one pixel in pixel arranged based on its top a line, the column of the left side one and the right one carries out smothing filtering；
And for the pixel on the column reference sample close to video block to be predicted, based on its left side one column, top a line and following one
The weight of at least one pixel in capable pixel carries out smothing filtering.
Wherein, multiple classifications include 8 classifications, and a variety of filter patterns include 8 kinds of filter patterns.
Wherein, corresponding first filter patterns of intra prediction mode 9,10,11；Corresponding second filtering of intra prediction mode 4-8
Mode；Intra prediction mode 2,3,33,34 corresponds to third filter patterns；Intra prediction mode 28-32 corresponds to the 4th filter patterns；
Intra prediction mode 25-27 corresponds to the 5th filter patterns；Intra prediction mode 20-24 corresponds to the 6th filter patterns；Intra prediction
Mode 17-19 corresponds to the 7th filter patterns；Intra prediction mode 12-16 corresponds to the 8th filter patterns.
Wherein, the first filter patterns are：For row reference sample, pixel weight to be filtered is 4, and left pixel weight is
2, right pixel weight is 2, by the weighted sum of the pixel value of pixel to be filtered, left pixel and right pixel difference again divided by
Predetermined integers；For column reference sample, pixel weight to be filtered is 4, and left pixel weight is 4, by pixel to be filtered and a left side
The pixel value difference weighted sum of side pixel is again divided by predetermined integers.
Second filter patterns are：For row reference sample, pixel weight to be filtered is 5, and left pixel weight is 1,
Right pixel weight is 1, and upper right side pixel weight is 1, by pixel to be filtered, left pixel, right pixel and upper right side picture
The pixel value difference weighted sum of element is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 6, left side
Pixel weight is 1, and lower left side pixel weight is 1, and the pixel value of pixel to be filtered, left pixel and lower left side pixel is distinguished
Weighted sum is again divided by predetermined integers.
Third filter patterns are：For row reference sample, pixel weight to be filtered is 4, and upper right side pixel weight is 4,
By the difference weighted sum of the pixel value of pixel to be filtered and upper right side pixel again divided by predetermined integers；For column reference sample, to
Filtered pixel weight is 4, and lower left side pixel weight is 4, and the pixel value of pixel to be filtered and lower left side pixel is weighted respectively
Summation is again divided by predetermined integers.
4th filter patterns are：For row reference sample, pixel weight to be filtered is 6, and upside pixel weight is 1,
Upper right side pixel weight is 1, by the weighted sum of the pixel value of pixel to be filtered, upside pixel and upper right side pixel difference again divided by
Predetermined integers；For column reference sample, pixel weight to be filtered is 5, and upside pixel weight is 1, and downside pixel weight is
1, lower left side pixel weight is 1, and the pixel value of pixel to be filtered, upside pixel, downside pixel and lower left side pixel is distinguished
Weighted sum is again divided by predetermined integers.
5th filter patterns are：For row reference sample, pixel weight to be filtered is 4, and upside pixel weight is 4, will
The pixel value of pixel to be filtered and upside pixel distinguishes weighted sum again divided by predetermined integers；It is to be filtered for column reference sample
Pixel weight is 4, and upside pixel weight is 2, and downside pixel weight is 2, by pixel to be filtered, upside pixel and downside picture
The pixel value difference weighted sum of element is again divided by predetermined integers.
6th filter patterns are：For row reference sample, pixel weight to be filtered is 6, and upside pixel weight is 1,
Upper left side pixel weight is 1, by the weighted sum of the pixel value of pixel to be filtered, upside pixel and upper left side pixel difference again divided by
Predetermined integers；For column reference sample, pixel weight to be filtered is 5, and upside pixel weight is 1, and downside pixel weight is
1, upper left side pixel weight is 1, and the pixel value of pixel to be filtered, upside pixel, downside pixel and upper left side pixel is distinguished
Weighted sum is again divided by predetermined integers.
7th filter patterns are：For row reference sample, pixel weight to be filtered is 4, and upper left side pixel weight is 4,
By the difference weighted sum of the pixel value of pixel to be filtered and upper left side pixel again divided by predetermined integers；For column reference sample, to
Filtered pixel weight is 4, and upper left side pixel weight is 4, and the pixel value of pixel to be filtered and upper left side pixel is weighted respectively
Summation is again divided by predetermined integers.
8th filter patterns are：For row reference sample, pixel weight to be filtered is 5, and left pixel weight is 1,
Right pixel weight is 1, and upper left side pixel weight is 1, by pixel to be filtered, left pixel, right pixel and upper left side picture
The pixel value difference weighted sum of element is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 6, left side
Pixel weight is 1, and upper left side pixel weight is 1, and the pixel value of pixel to be filtered, left pixel and upper left side pixel is distinguished
Weighted sum is again divided by predetermined integers.
Wherein, the width of row reference sample be 2 times of width of video block to be predicted again plus 1, the height of column reference sample
It is 2 times of the height of video block to be predicted.
Wherein, the coordinate for enabling the pixel in the video block upper left corner to be predicted is (0,0), then for the pixel on column reference sample
Pixel (- 1, -2), (- 1, -1) on (- 2,0), row reference sample is without filtering, to the pixel (- 1,0) on column reference sample
Carry out HEVC filtering.
Wherein, predetermined integers 8.
The details of the operations and functions of various pieces about the pixel filter device 700 for coding and decoding video can join
According to the embodiment for the pixel filter method for coding and decoding video of the invention for combining Fig. 1-4 to describe, no longer retouch in detail here
It states.
It should be noted that the pixel filter device 700 and its component units shown in Fig. 7 for coding and decoding video
Structure be only exemplary, those skilled in the art, which can according to need, modifies to structural block diagram shown in Fig. 7.
The present invention proposes a kind of pixel filter method and apparatus, which is used for video and compiles solution
Code can better adapt to the prediction direction in coding and decoding video, improve video compression ratio.
[the 3. calculating equipment to implement the present processes and device]
Basic principle of the invention is described in conjunction with specific embodiments above, however, it is desirable to, it is noted that this field
For those of ordinary skill, it is to be understood that the whole or any steps or component of methods and apparatus of the present invention, Ke Yi
Any computing device (including processor, storage medium etc.) perhaps in the network of computing device with hardware, firmware, software or
Their combination is realized that this is that those of ordinary skill in the art use them in the case where having read explanation of the invention
Basic programming skill can be achieved with.
Therefore, the purpose of the present invention can also by run on any computing device a program or batch processing come
It realizes.The computing device can be well known fexible unit.Therefore, the purpose of the present invention can also include only by offer
The program product of the program code of the method or device is realized to realize.That is, such program product is also constituted
The present invention, and the storage medium for being stored with such program product also constitutes the present invention.Obviously, the storage medium can be
Any well known storage medium or any storage medium that developed in the future.
In the case where realizing the embodiment of the present invention by software and/or firmware, from storage medium or network to having
The computer of specialized hardware structure, such as the installation of general purpose computer shown in Fig. 8 800 constitute the program of the software, the computer
When being equipped with various programs, it is able to carry out various functions etc..
In fig. 8, central processing unit (CPU) 801 is according to the program stored in read-only memory (ROM) 802 or from depositing
The program that storage part 808 is loaded into random access memory (RAM) 803 executes various processing.In RAM 803, also according to need
Store the data required when CPU 801 executes various processing etc..CPU 801, ROM 802 and RAM 803 are via bus
804 links each other.Input/output interface 805 also link to bus 804.
Components described below link is to input/output interface 805：Importation 806 (including keyboard, mouse etc.), output section
Divide 807 (including display, such as cathode-ray tube (CRT), liquid crystal display (LCD) etc. and loudspeakers etc.), storage section
808 (including hard disks etc.), communications portion 809 (including network interface card such as LAN card, modem etc.).Communications portion 809
Communication process is executed via network such as internet.As needed, driver 810 can also link to input/output interface 805.
Detachable media 811 such as disk, CD, magneto-optic disk, semiconductor memory etc. is installed in driver 810 as needed
On, so that the computer program read out is mounted to as needed in storage section 808.
It is such as removable from network such as internet or storage medium in the case where series of processes above-mentioned by software realization
Unload the program that the installation of medium 811 constitutes software.
It will be understood by those of skill in the art that this storage medium be not limited to it is shown in Fig. 8 be wherein stored with program,
Separately distribute with equipment to provide a user the detachable media 811 of program.The example of detachable media 811 includes disk
(including floppy disk (registered trademark)), CD (including compact disc read-only memory (CD-ROM) and digital versatile disc (DVD)), magneto-optic disk
(including mini-disk (MD) (registered trademark)) and semiconductor memory.Alternatively, storage medium can be ROM 802, storage section
Hard disk for including in 808 etc., wherein computer program stored, and user is distributed to together with the equipment comprising them.
The present invention also proposes a kind of program product of instruction code for being stored with machine-readable.Instruction code is read by machine
When taking and executing, can be performed it is above-mentioned according to the method for the embodiment of the present invention.
Correspondingly, it is also wrapped for carrying the storage medium of the program product of the above-mentioned instruction code for being stored with machine-readable
It includes in disclosure of the invention.Storage medium includes but is not limited to floppy disk, CD, magneto-optic disk, storage card, memory stick etc..
It should be appreciated by those skilled in the art that being exemplary what this was enumerated, the present invention is not limited thereto.
In the present specification, the statements such as " first ", " second " and " n-th " be in order to by described feature in text
On distinguish, the present invention is explicitly described.Therefore, it should not serve to that there is any limited meaning.
As an example, each step of the above method and all modules and/or unit of above equipment can
To be embodied as software, firmware, hardware or combinations thereof, and as a part in relevant device.Each composition mould in above-mentioned apparatus
Block, unit when being configured by way of software, firmware, hardware or combinations thereof workable specific means or mode be ability
Known to field technique personnel, details are not described herein.
It as an example, can be from storage medium or network to having in the case where being realized by software or firmware
Computer (such as general purpose computer 800 shown in Fig. 8) installation of specialized hardware structure constitutes the program of the software, the computer
When being equipped with various programs, it is able to carry out various functions etc..
In the description above to the specific embodiment of the invention, for the feature a kind of embodiment description and/or shown
It can be used in one or more other embodiments in a manner of same or similar, with the feature in other embodiments
It is combined, or the feature in substitution other embodiments.
It should be emphasized that term "comprises/comprising" refers to the presence of feature, element, step or component when using herein, but simultaneously
It is not excluded for the presence or additional of other one or more features, element, step or component.
In addition, method of the invention be not limited to specifications described in time sequencing execute, can also according to it
His time sequencing, concurrently or independently execute.Therefore, the execution sequence of method described in this specification is not to this hair
Bright technical scope is construed as limiting.
The present invention and its advantage it should be appreciated that without departing from the essence of the invention being defined by the claims appended hereto
Various changes, substitution and transformation can be carried out in the case where mind and range.Moreover, the scope of the present invention is not limited only to specification institute
The specific embodiment of the process of description, equipment, means, method and steps.One of ordinary skilled in the art is from of the invention
Disclosure it will be readily understood that can be used according to the present invention execute the function essentially identical to corresponding embodiment in this or
Obtain the result essentially identical with it, existing and to be developed in the future process, equipment, means, method or step.Cause
This, the attached claims are intended in the range of them include such process, equipment, means, method or step.
Based on above explanation, it is known that open at least to disclose following technical scheme：
It is attached 1, a kind of pixel filter method for coding and decoding video, including：
Take two column pixels of the two row pixels and left side above video block to be predicted as row reference sample and column ginseng respectively
Examine sample；And
For the pixel on the row reference sample and column reference sample close to the video block to be predicted, according to the frame of pixel
Inner estimation mode selects corresponding filter patterns to be filtered.
Note 2, the method according to note 1, wherein the filter patterns include pre- in 33 kinds of angle frames with HEVC
The corresponding a variety of filter patterns of multiple classifications that survey mode is divided.
Note 3, the method according to note 1, the filtering include：
For the pixel on the row reference sample close to the video block to be predicted, arranged based on its top a line, the left side one
The weight of at least one pixel in pixel arranged with the right one carries out smothing filtering；And
For the pixel on the column reference sample close to the video block to be predicted, based on its left side one column, top a line
Smothing filtering is carried out with the weight of at least one pixel in the pixel of following a line.
Note 4, the method according to note 2, wherein the multiple classification includes 8 classifications, a variety of filtering moulds
Formula includes 8 kinds of filter patterns.
It is attached 5, method according to the attached note 4, wherein
Intra prediction mode 9,10,11 corresponds to the first filter patterns；
Intra prediction mode 4-8 corresponds to the second filter patterns；
Intra prediction mode 2,3,33,34 corresponds to third filter patterns；
Intra prediction mode 28-32 corresponds to the 4th filter patterns；
Intra prediction mode 25-27 corresponds to the 5th filter patterns；
Intra prediction mode 20-24 corresponds to the 6th filter patterns；
Intra prediction mode 17-19 corresponds to the 7th filter patterns；
Intra prediction mode 12-16 corresponds to the 8th filter patterns.
Note 6, the method according to note 5, wherein
First filter patterns are：
For row reference sample, pixel weight to be filtered is 4, and left pixel weight is 2, and right pixel weight is 2,
By the pixel value difference weighted sum of pixel to be filtered, left pixel and right pixel again divided by predetermined integers；Column are referred to
Sample, pixel weight to be filtered are 4, and left pixel weight is 4, and the pixel value of pixel to be filtered and left pixel is added respectively
Power summation is again divided by predetermined integers；
Second filter patterns are：
For row reference sample, pixel weight to be filtered is 5, and left pixel weight is 1, and right pixel weight is 1,
Its upper right side pixel weight is 1, and the pixel value of pixel to be filtered, left pixel, right pixel and upper right side pixel is added respectively
Power summation is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 6, and left pixel weight is 1, left
Downside pixel weight is 1, by the pixel value difference weighted sum of pixel to be filtered, left pixel and lower left side pixel again divided by pre-
Determine integer；
Third filter patterns are：
For row reference sample, pixel weight to be filtered is 4, and upper right side pixel weight is 4, by pixel to be filtered and the right side
The pixel value difference weighted sum of upside pixel is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 4,
Its lower left side pixel weight is 4, and it is whole divided by making a reservation for again that the pixel value of pixel to be filtered and lower left side pixel is distinguished weighted sum
Number；
4th filter patterns are：
For row reference sample, pixel weight to be filtered is 6, and upside pixel weight is 1, and upper right side pixel weight is
1, by the pixel value difference weighted sum of pixel to be filtered, upside pixel and upper right side pixel again divided by predetermined integers；For column
Reference sample, pixel weight to be filtered are 5, and upside pixel weight is 1, and downside pixel weight is 1, lower left side pixel power
Weight is 1, by the pixel value difference weighted sum of pixel to be filtered, upside pixel, downside pixel and lower left side pixel again divided by pre-
Determine integer；
5th filter patterns are：
For row reference sample, pixel weight to be filtered is 4, and upside pixel weight is 4, by pixel to be filtered and upside
The pixel value difference weighted sum of pixel is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 4, thereon
Side pixel weight is 2, and downside pixel weight is 2, and the pixel value of pixel to be filtered, upside pixel and downside pixel is added respectively
Power summation is again divided by predetermined integers；
6th filter patterns are：
For row reference sample, pixel weight to be filtered is 6, and upside pixel weight is 1, and upper left side pixel weight is
1, by the pixel value difference weighted sum of pixel to be filtered, upside pixel and upper left side pixel again divided by predetermined integers；For column
Reference sample, pixel weight to be filtered are 5, and upside pixel weight is 1, and downside pixel weight is 1, upper left side pixel power
Weight is 1, by the pixel value difference weighted sum of pixel to be filtered, upside pixel, downside pixel and upper left side pixel again divided by pre-
Determine integer；
7th filter patterns are：
For row reference sample, pixel weight to be filtered is 4, and upper left side pixel weight is 4, by pixel to be filtered and a left side
The pixel value difference weighted sum of upside pixel is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 4,
Its upper left side pixel weight is 4, and it is whole divided by making a reservation for again that the pixel value of pixel to be filtered and upper left side pixel is distinguished weighted sum
Number；
8th filter patterns are：
For row reference sample, pixel weight to be filtered is 5, and left pixel weight is 1, and right pixel weight is 1,
Its upper left side pixel weight is 1, and the pixel value of pixel to be filtered, left pixel, right pixel and upper left side pixel is added respectively
Power summation is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 6, and left pixel weight is 1, left
Upside pixel weight is 1, by the pixel value difference weighted sum of pixel to be filtered, left pixel and upper left side pixel again divided by pre-
Determine integer.
Note 7, the method according to note 1, wherein the width of the row reference sample is the video block to be predicted
2 times of width again plus 1, the height of the column reference sample is 2 times of the height of the video block to be predicted.
Note 8, according to note 1 described in method, wherein enable the pixel in the video block upper left corner to be predicted coordinate be (0,
0), then for the pixel (- 2,0) on the column reference sample, the pixel (- 1, -2) on the row reference sample, (- 1, -1) no
It is filtered, HEVC filtering is carried out to the pixel (- 1,0) on the column reference sample.
Note 9, the method according to note 6, wherein the predetermined integers are 8.
10, a kind of method for video coding are attached, according to the pixel filter method as described in one of note 1-9 to be encoded
Video block carries out coded treatment.
11, a kind of pixel filter device for coding and decoding video are attached, including：
Reference sample extraction unit is configured to take two column of the two row pixels and left side above video block to be predicted
Pixel is as row reference sample and column reference sample；And
Filter unit is configured as on the row reference sample and column reference sample close to the video block to be predicted
Pixel is filtered according to the corresponding filter patterns of the Intra prediction mode selection of pixel.
Note 12, the pixel filter device according to note 11, wherein the filter patterns include 33 kinds with HEVC
The corresponding a variety of filter patterns of multiple classifications that angle intra prediction mode is divided.
Note 13, the pixel filter device according to note 11, wherein the filter unit is configured to：
For the pixel on the row reference sample close to the video block to be predicted, arranged based on its top a line, the left side one
The weight of at least one pixel in pixel arranged with the right one carries out smothing filtering；And
For the pixel on the column reference sample close to the video block to be predicted, based on its left side one column, top a line
Smothing filtering is carried out with the weight of at least one pixel in the pixel of following a line.
Note 14, the pixel filter device according to note 12, wherein the multiple classification includes 8 classifications, described
A variety of filter patterns include 8 kinds of filter patterns.
Note 15, the pixel filter device according to note 14, wherein
Intra prediction mode 9,10,11 corresponds to the first filter patterns；
Intra prediction mode 4-8 corresponds to the second filter patterns；
Intra prediction mode 2,3,33,34 corresponds to third filter patterns；
Intra prediction mode 28-32 corresponds to the 4th filter patterns；
Intra prediction mode 25-27 corresponds to the 5th filter patterns；
Intra prediction mode 20-24 corresponds to the 6th filter patterns；
Intra prediction mode 17-19 corresponds to the 7th filter patterns；
Intra prediction mode 12-16 corresponds to the 8th filter patterns.
Note 16, the pixel filter device according to note 15, wherein
First filter patterns are：
For row reference sample, pixel weight to be filtered is 4, and left pixel weight is 2, and right pixel weight is 2,
By the pixel value difference weighted sum of pixel to be filtered, left pixel and right pixel again divided by predetermined integers；Column are referred to
Sample, pixel weight to be filtered are 4, and left pixel weight is 4, and the pixel value of pixel to be filtered and left pixel is added respectively
Power summation is again divided by predetermined integers；
Second filter patterns are：
For row reference sample, pixel weight to be filtered is 5, and left pixel weight is 1, and right pixel weight is 1,
Its upper right side pixel weight is 1, and the pixel value of pixel to be filtered, left pixel, right pixel and upper right side pixel is added respectively
Power summation is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 6, and left pixel weight is 1, left
Downside pixel weight is 1, by the pixel value difference weighted sum of pixel to be filtered, left pixel and lower left side pixel again divided by pre-
Determine integer；
Third filter patterns are：
For row reference sample, pixel weight to be filtered is 4, and upper right side pixel weight is 4, by pixel to be filtered and the right side
The pixel value difference weighted sum of upside pixel is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 4,
Its lower left side pixel weight is 4, and it is whole divided by making a reservation for again that the pixel value of pixel to be filtered and lower left side pixel is distinguished weighted sum
Number；
4th filter patterns are：
For row reference sample, pixel weight to be filtered is 6, and upside pixel weight is 1, and upper right side pixel weight is
1, by the pixel value difference weighted sum of pixel to be filtered, upside pixel and upper right side pixel again divided by predetermined integers；For column
Reference sample, pixel weight to be filtered are 5, and upside pixel weight is 1, and downside pixel weight is 1, lower left side pixel power
Weight is 1, by the pixel value difference weighted sum of pixel to be filtered, upside pixel, downside pixel and lower left side pixel again divided by pre-
Determine integer；
5th filter patterns are：
For row reference sample, pixel weight to be filtered is 4, and upside pixel weight is 4, by pixel to be filtered and upside
The pixel value difference weighted sum of pixel is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 4, thereon
Side pixel weight is 2, and downside pixel weight is 2, and the pixel value of pixel to be filtered, upside pixel and downside pixel is added respectively
Power summation is again divided by predetermined integers；
6th filter patterns are：
For row reference sample, pixel weight to be filtered is 6, and upside pixel weight is 1, and upper left side pixel weight is
1, by the pixel value difference weighted sum of pixel to be filtered, upside pixel and upper left side pixel again divided by predetermined integers；For column
Reference sample, pixel weight to be filtered are 5, and upside pixel weight is 1, and downside pixel weight is 1, upper left side pixel power
Weight is 1, by the pixel value difference weighted sum of pixel to be filtered, upside pixel, downside pixel and upper left side pixel again divided by pre-
Determine integer；
7th filter patterns are：
For row reference sample, pixel weight to be filtered is 4, and upper left side pixel weight is 4, by pixel to be filtered and a left side
The pixel value difference weighted sum of upside pixel is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 4,
Its upper left side pixel weight is 4, and it is whole divided by making a reservation for again that the pixel value of pixel to be filtered and upper left side pixel is distinguished weighted sum
Number；
8th filter patterns are：
For row reference sample, pixel weight to be filtered is 5, and left pixel weight is 1, and right pixel weight is 1,
Its upper left side pixel weight is 1, and the pixel value of pixel to be filtered, left pixel, right pixel and upper left side pixel is added respectively
Power summation is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 6, and left pixel weight is 1, left
Upside pixel weight is 1, by the pixel value difference weighted sum of pixel to be filtered, left pixel and upper left side pixel again divided by pre-
Determine integer.
Note 17, the pixel filter device according to note 11, wherein the width of the row reference sample be it is described to
2 times of the width of predicted video block add 1 again, and the height of the column reference sample is 2 times of the height of the video block to be predicted.
Note 18, the pixel filter device according to note 11, wherein enable the pixel in the video block upper left corner to be predicted
Coordinate be (0,0), then for the pixel (- 2,0) on the column reference sample, the pixel (- 1, -2) on the row reference sample,
(- 1, -1) carries out HEVC filtering without filtering, to the pixel (- 1,0) on the column reference sample.
Note 19, the pixel filter device according to note 16, wherein the predetermined integers are 8.
Claims (10)
1. a kind of pixel filter method for coding and decoding video, including：
Take two column pixels of the two row pixels and left side above video block to be predicted as row reference sample and column with reference to sample respectively
This；And
For the pixel on the row reference sample and column reference sample close to the video block to be predicted, according to pre- in the frame of pixel
The corresponding filter patterns of model selection are surveyed to be filtered.
2. according to the method described in claim 1, wherein, the filter patterns include 33 kinds of angle intra prediction moulds with HEVC
The corresponding a variety of filter patterns of multiple classifications that formula is divided.
3. according to the method described in claim 1, the filtering includes：
For the pixel on the row reference sample close to the video block to be predicted, based on its top a line, the column of the left side one and the right side
The weight at least one pixel in pixel that side one arranges carries out smothing filtering；And
For the pixel on the column reference sample close to the video block to be predicted, based on its left side one column, top a line and under
The weight of at least one pixel in the pixel of side a line carries out smothing filtering.
4. according to the method described in claim 2, wherein, the multiple classification includes 8 classifications, a variety of filter patterns packets
Include 8 kinds of filter patterns.
5. according to the method described in claim 4, wherein,
Intra prediction mode 9,10,11 corresponds to the first filter patterns；
Intra prediction mode 4-8 corresponds to the second filter patterns；
Intra prediction mode 2,3,33,34 corresponds to third filter patterns；
Intra prediction mode 28-32 corresponds to the 4th filter patterns；
Intra prediction mode 25-27 corresponds to the 5th filter patterns；
Intra prediction mode 20-24 corresponds to the 6th filter patterns；
Intra prediction mode 17-19 corresponds to the 7th filter patterns；And
Intra prediction mode 12-16 corresponds to the 8th filter patterns.
6. according to the method described in claim 5, wherein,
First filter patterns are：
For row reference sample, pixel weight to be filtered is 4, and left pixel weight is 2, and right pixel weight is 2, will be to
The pixel value difference weighted sum of filtered pixel, left pixel and right pixel is again divided by predetermined integers；For column reference sample,
Pixel weight to be filtered is 4, and left pixel weight is 4, and the pixel value of pixel to be filtered and left pixel is weighted respectively and is asked
Again divided by predetermined integers；
Second filter patterns are：
For row reference sample, pixel weight to be filtered is 5, and left pixel weight is 1, and right pixel weight is 1, right
Upside pixel weight is 1, and the pixel value of pixel to be filtered, left pixel, right pixel and upper right side pixel is weighted respectively and is asked
Again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 6, and left pixel weight is 1, lower left side
Pixel weight is 1, and it is whole divided by making a reservation for again that the pixel value of pixel to be filtered, left pixel and lower left side pixel is distinguished weighted sum
Number；
Third filter patterns are：
For row reference sample, pixel weight to be filtered is 4, and upper right side pixel weight is 4, by pixel to be filtered and upper right side
The pixel value difference weighted sum of pixel is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 4, left
Downside pixel weight is 4, by the difference weighted sum of the pixel value of pixel to be filtered and lower left side pixel again divided by predetermined integers；
4th filter patterns are：
For row reference sample, pixel weight to be filtered is 6, and upside pixel weight is 1, and upper right side pixel weight is 1, will
The pixel value difference weighted sum of pixel to be filtered, upside pixel and upper right side pixel is again divided by predetermined integers；Column are referred to
Sample, pixel weight to be filtered are 5, and upside pixel weight is 1, and downside pixel weight is 1, and lower left side pixel weight is
1, it is whole divided by making a reservation for again that the pixel value of pixel to be filtered, upside pixel, downside pixel and lower left side pixel is distinguished into weighted sum
Number；
5th filter patterns are：
For row reference sample, pixel weight to be filtered is 4, and upside pixel weight is 4, by pixel to be filtered and upside pixel
Pixel value difference weighted sum again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 4, upside picture
Plain weight is 2, and downside pixel weight is 2, and the pixel value of pixel to be filtered, upside pixel and downside pixel is weighted respectively and is asked
Again divided by predetermined integers；
6th filter patterns are：
For row reference sample, pixel weight to be filtered is 6, and upside pixel weight is 1, and upper left side pixel weight is 1, will
The pixel value difference weighted sum of pixel to be filtered, upside pixel and upper left side pixel is again divided by predetermined integers；Column are referred to
Sample, pixel weight to be filtered are 5, and upside pixel weight is 1, and downside pixel weight is 1, and upper left side pixel weight is
1, it is whole divided by making a reservation for again that the pixel value of pixel to be filtered, upside pixel, downside pixel and upper left side pixel is distinguished into weighted sum
Number；
7th filter patterns are：
For row reference sample, pixel weight to be filtered is 4, and upper left side pixel weight is 4, by pixel to be filtered and upper left side
The pixel value difference weighted sum of pixel is again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 4, left
Upside pixel weight is 4, by the difference weighted sum of the pixel value of pixel to be filtered and upper left side pixel again divided by predetermined integers；With
And
8th filter patterns are：
For row reference sample, pixel weight to be filtered is 5, and left pixel weight is 1, and right pixel weight is 1, left
Upside pixel weight is 1, and the pixel value of pixel to be filtered, left pixel, right pixel and upper left side pixel is weighted respectively and is asked
Again divided by predetermined integers；For column reference sample, pixel weight to be filtered is 6, and left pixel weight is 1, upper left side
Pixel weight is 1, and it is whole divided by making a reservation for again that the pixel value of pixel to be filtered, left pixel and upper left side pixel is distinguished weighted sum
Number.
7. according to the method described in claim 1, wherein, the width of the row reference sample is the width of the video block to be predicted
2 times of degree add 1 again, and the height of the column reference sample is 2 times of the height of the video block to be predicted.
8. according to the method described in claim 1, wherein, enabling the coordinate of the pixel in the video block upper left corner to be predicted is (0,0), then
For the pixel (- 2,0) on the column reference sample, the pixel (- 1, -2) on the row reference sample, (- 1, -1) without
Filtering carries out HEVC filtering to the pixel (- 1,0) on the column reference sample.
9. a kind of method for video coding, according to pixel filter method as described in one of claim 1-8 to video to be encoded
Block carries out coded treatment.
10. a kind of pixel filter device for coding and decoding video, including：
Reference sample extraction unit is configured to take two column pixels of the two row pixels and left side above video block to be predicted
As row reference sample and column reference sample；And
Filter unit is configured as the picture on the row reference sample and column reference sample close to the video block to be predicted
Element is filtered according to the corresponding filter patterns of the Intra prediction mode selection of pixel.
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