CN115499663A - Image compression method and device for different-degree reconstructed pixels with reference to single coding mode - Google Patents

Abstract

The invention provides a method or a device for encoding and decoding an image, which integrates inter-frame prediction and intra-frame block copying into a single encoding mode and uses reconstructed pixels with at least two different perfections as reference pixels. Reconstructed pixels of different perfection are taken from different regions of the reference pixel range. The reference pixel range of the encoding mode is divided into at least two different regions having different perfection reconstructed pixels. The first perfection of reconstructed pixels is reconstructed pixels that are neither DF nor SAO processed, while the other perfection of reconstructed pixels are DF and/or SAO processed reconstructed pixels.

Description

Image compression method and device for different-degree reconstructed pixels with reference to single coding mode

The present application is a divisional application of the following original applications:

application date of the original application: 2015-06-08

Application No. of the original application: 2015103081378

The invention of the original application is named: image compression methods and apparatus in which reference pixels are taken from more or less reconstructed pixels.

Technical Field

The invention relates to a digital video compression coding and decoding system, in particular to a method and a device for coding and decoding a composite image and a video containing a computer screen image.

Background

As televisions and displays enter ultra high definition (4K) and ultra high definition (8K) resolutions and new generation cloud computing and information processing models and platforms, typically represented by remote desktops, are developed and popularized, the demand for video image data compression is also moving towards higher resolutions and composite images including camera-captured images and computer screen images. Ultra-high compression ratio and extremely high quality data compression for video images are indispensable techniques.

The method fully utilizes the characteristics of 4K/8K images and computer screen images to carry out ultrahigh-Efficiency compression on Video images, and is also a main target of the latest international Video compression standard HEVC (High Efficiency Video Coding) and other international standards, domestic standards and industrial standards in the process of preparation.

The natural form of a digital video signal of an image is a sequence of images. A frame of image is usually a rectangular area composed of several pixels, and a digital video signal is a video image sequence composed of tens of frames to thousands of frames of images, sometimes also referred to simply as a video sequence or sequence. Encoding a digital video signal is to encode one frame by one frame of image. At any one time, the frame of picture being encoded is referred to as the current encoded picture. Similarly, decoding a compressed video stream (abbreviated as a bitstream, which is also referred to as a bitstream) of a digital video signal is to decode a frame-by-frame compressed image bitstream. At any one time, the frame of picture being decoded is referred to as the current decoded picture. Either the current encoded picture or the current decoded picture is collectively referred to as the current picture.

In encoding (and corresponding decoding) of a frame of picture in almost all international standards for video picture Coding, such as MPEG-1/2/4, h.264/AVC and HEVC, a frame of picture is divided into sub-pictures of blocks MxM pixels, called Coding blocks (i.e., decoding blocks from the decoding point of view, collectively called Coding blocks) or "Coding units (Coding units abbreviated as CUs)", and the sub-pictures are encoded block by block, with the CU as the basic Coding Unit. A commonly used size for M is 4,8, 16, 32, 64. Therefore, encoding a sequence of video images is to encode each coding unit, i.e., CU, of each frame image, one CU after another. At any one time, the CU being encoded is referred to as the current encoded CU. Similarly, decoding a code stream of a video image sequence also decodes each CU of each frame image one by one, and finally reconstructs the entire video image sequence. At any one time, the CU being decoded is referred to as the currently decoded CU. The current encoded CU or the current decoded CU is collectively referred to as the current CU.

In order to adapt to the difference of the content and the property of each part of the image in a frame of image, the most effective coding is carried out in a targeted mode, and the sizes of CUs in a frame of image can be different, namely 8x8, 64x64 and the like. In order to enable CUs of different sizes to be seamlessly spliced, a frame of image is usually divided into "Largest Coding Units (LCUs)" having NxN pixels and having the same size, and then each LCU is further divided into a plurality of CUs having a tree structure and not necessarily the same size. Accordingly, an LCU is also referred to as a "Coding Tree Unit (CTU)". For example, one frame image is first divided into LCUs of 64 × 64 pixels (N = 64) of identical size. One LCU is composed of 3 CUs of 32 × 32 pixels and 4 CUs of 16 × 16 pixels, and thus 7 CUs in a tree structure constitute one CTU. And another LCU consists of 2 CU of 32x32 pixels, 3 CU of 16x16 pixels, and 20 CU of 8x8 pixels. Such 25 treelized CUs constitute another CTU. A frame of picture is coded, i.e. a CU in a CTU is coded in sequence. In the HEVC international standard, LCU is synonymous with CTU. A CU equal in size to a CTU is referred to as a CU with depth 0. A CU obtained by dividing a CU having a depth of 0 into upper, lower, left, and right halves is referred to as a CU having a depth of 1. A CU obtained by dividing a CU having a depth of 1 into upper, lower, left, and right halves is referred to as a CU having a depth of 2. A CU obtained by dividing a CU having a depth of 2 in upper, lower, left, and right directions is referred to as a CU having a depth of 3. At any one time, the CTU being encoded is referred to as the current encoded CTU. At any one time, the CTU being decoded is referred to as the current decoding CTU. The currently encoded CTU or the currently decoded CTU is collectively referred to as the current CTU.

A CU may also be further divided into sub-regions. Sub-regions include, but are not limited to, prediction Units (PUs), transform Units (TUs), asymmetric partitioning (AMP) regions.

A color pixel typically consists of 3 components. The two most commonly used pixel color formats are the GBR color format, which consists of a green component, a blue component, a red component, and the YUV color format, which consists of one luminance (luma) component and two chrominance (chroma) components. The color format commonly referred to as YUV actually includes a plurality of color formats, such as the YCbCr color format. Therefore, when encoding one CU, one CU may be divided into 3 component planes (G plane, B plane, R plane, or Y plane, U plane, V plane), and the 3 component planes may be encoded separately; it is also possible to bundle 3 components of a pixel into one 3-tuple and encode the whole CU consisting of these 3-tuples. The former arrangement of pixels and their components is called planar format (planar format) of the image (and its CU), while the latter arrangement of pixels and their components is called packed format (packed format) of the image (and its CU). Both the GBR color format and the YUV color format of a pixel are 3-component representation formats of the pixel.

In addition to the 3-component representation format of the pixel, another common prior art representation format of the pixel is the palette index representation format. In the palette index representation format, the value of a pixel may also be represented by the index of the palette. The palette space stores the numerical or approximate numerical values of the 3 components of the color of the pixel that needs to be represented, and the address of the palette is referred to as the index of the color of the pixel stored in this address. One index may represent one component of the color of the pixel and one index may also represent 3 components of the color of the pixel. The palette may be one or more. In the case of multiple palettes, a complete index is actually composed of both a palette index (indicating which one of the multiple palettes) and an index of the palette of that index. The index representation format of a pixel is to represent the pixel by an index. If pixels in an image region (e.g., a coded block or a decoded block) cannot all be represented by palette colors (i.e., for at least one pixel in the image region, there is no palette color and its index where the 3 components have the same or approximately the same value as the pixel), then there is usually a special index in the palette called escape color to represent pixels that cannot be represented by normal palette colors. Therefore, if the index of a pixel is an index of an escape color, the pixel needs to express its color with an additional dedicated 3 components. The normal color and the escape color in the palette are called as palette colors, but the escape color is a virtual color, and there is no physical space in the palette for storing the color, and there is only one special virtual index. The index of the escape color is typically the last index of the palette. The index representation format of a pixel is also known in the art as the index color (extended color) or pseudo color (pseudo color) representation format of the pixel, or often directly referred to as an index pixel (extended pixel) or pseudo pixel (pseudo pixel) or pixel index or index. The index is sometimes also referred to as an index. Rendering pixels in their indexed rendering format is also referred to as indexing or indexing.

Other common prior art pixel representation formats include the CMYK representation format and the grayscale representation format.

The YUV color format can be further subdivided into a plurality of seed formats depending on whether down-sampling is performed on the color components: 1 pixel is YUV4:4:4 pixel color format consisting of 1Y component, 1U component and 1V component; the YUV4:2:2 pixel color format is formed by 2Y components, 1U component and 1V component of left and right adjacent 2 pixels; the YUV4:2:0 pixel color format is formed by 4Y components, 1U component and 1V component by 4 pixels which are arranged at 2x2 spatial positions and are adjacent left, right, upper and lower. One component is typically represented by 1 number of 8 to 16 bits. The YUV4:2:2 pixel color format and YUV4:2:0 pixel color format are obtained by down-sampling the chrominance components of the YUV4:4:4 pixel color format. A pixel component is also referred to as a pixel sample (sample) or simply a sample (sample).

The most basic element in encoding or decoding may be one pixel, one pixel component, or one pixel index (i.e., index pixel). A pixel or a pixel component or an index pixel, which is the most basic element of encoding or decoding, is collectively referred to as a pixel sample, sometimes also commonly referred to as a pixel value, or simply a sample.

In the present invention and the present patent application, the terms "pixel sample", "pixel value", "sample", "index pixel" and "pixel index" are synonymous, and depending on the context, it may be clear whether "pixel" or "one pixel component" or "index pixel" or any of the three at the same time. If it is not clear from the context, any of the three is represented at the same time.

In the present invention and the present patent application, a coding block or a decoding block (collectively referred to as a coding/decoding block) is a region composed of several pixel values. The shape of the codec block may be rectangular, square, parallelogram, trapezoid, polygon, circle, ellipse, and other various shapes. The rectangle also includes a rectangle whose width or height is one pixel value and degenerates into a line (i.e., a line segment or a line shape). Each codec block may have a different shape and size in a frame of image. In a frame of image, some or all of the coding and decoding blocks may have mutually overlapped parts, or all of the coding and decoding blocks may not overlap each other. A coding/decoding block may be composed of "pixels", or "components of pixels", or "index pixels", or a mixture of these 3, or any 2 of these 3. From the viewpoint of video image encoding or decoding, a coding/decoding block refers to a region of a frame of image on which encoding or decoding is performed, and includes, but is not limited to, at least one of: a maximum coding unit LCU, a coding tree unit CTU, a coding unit CU, a sub-region of a CU, a prediction unit PU, a transform unit TU.

A significant feature of computer screen images is that there are usually many similar or even identical pixel patterns (pixel patterns) within the same frame image. For example, chinese characters or foreign language characters frequently appearing in computer screen images are composed of a few basic strokes, and many similar or identical strokes can be found in the same frame of image. Menus, icons, etc. that are commonly found in computer screen images also have many similar or identical patterns. Therefore, various copying methods are generally used in the existing image and video compression technologies, including at least the following copying methods:

1) Intra block copy is intra block matching or intra motion compensation or block matching or block copy. The basic operation of block copy coding or decoding is to copy, for a currently coded block or a currently decoded block (referred to simply as a current block), a reference block of the same size (the same number of pixel samples) as the current block from the reconstructed set of reference pixel samples, and assign the value of the reference block to the current block. The copy parameter of the block copy manner includes a displacement vector of the current block, indicating a relative position between the reference block and the current block. A current block has a displacement vector.

2) The intra-microblock copying is intra-microblock matching or microblock copying. In micro-block copy, a current block (e.g., 8x8 pixel sample) is divided into several micro-blocks (e.g., a micro-block of 4x2 pixel sample, a micro-block of 8x2 pixel sample, a micro-block of 2x4 pixel sample, or a micro-block of 2x8 pixel sample), and the basic operation of micro-block copy encoding or decoding is to copy a reference micro-block from a reconstructed set of reference pixel samples and assign the value of the reference micro-block to the current micro-block for each encoded or decoded micro-block in the current block (referred to as the current micro-block). The copy parameters of the microblock copy mode include a displacement vector of the current microblock, which represents the relative position between the reference microblock and the current microblock. A current tile has a displacement vector. There are as many displacement vectors as there are as many tiles into which a current block is divided.

3) The intra-frame line (or stripe) copy is the intra-frame stripe matching or stripe copying. A bar is a tile of height 1 or width 1, such as a tile of 4x1 or 8x1 or 1x4 or 1x8 pixel samples. The basic operation of slice copy coding or decoding is to copy a reference slice from within the reconstructed set of reference pixel samples for each coded or decoded slice (referred to simply as the current slice) in the current block, and assign the value of the reference slice to the current slice. Obviously, stripe replication is a special case of micro-block replication. The replication parameters of the stripe replication approach include a displacement vector of the current stripe, representing the relative position between the reference stripe and the current stripe. A current bar has a displacement vector. There are as many displacement vectors as there are how many slices into which a current block is divided.

4) Intra-string copy, i.e., intra-string matching or pixel string copy. In pixel string replication, a currently encoded block or a currently decoded block (referred to simply as the current block) is divided into several variable-length pixel sample strings. Here, a string is a string of pixels in a two-dimensional region of an arbitrary shape arranged to have a length much greater than its width (e.g., a string of 1 pixel sample in width and 37 pixel samples in length or a string of 2 pixel samples in width and 111 pixel samples in length, typically but not limited to, a length being an independent encoding or decoding parameter and a width being a predetermined or derived parameter from other encoding or decoding parameters). The basic operation of string copy encoding or decoding is to copy, for each encoded or decoded string in the current block (referred to simply as the current string), a reference string from within the reconstructed set of reference pixel samples and assign the value of the reference string to the current string. The copy parameters of the string copy mode include the displacement vector and copy length, i.e., copy size, of the current string, which respectively represent the relative position between the reference string and the current string and the length, i.e., the number of pixel samples, of the current string. The length of the current string is also the length of the reference string. A current string has a displacement vector and a copy length. There are as many displacement vectors and as many copy lengths as there are strings into which a current block is divided.

5) Palette index string replication, or palette or index string replication. In the palette coding and corresponding decoding method, a palette is first constructed or obtained, then part or all of the pixels of a current coding block or a current decoding block (referred to as a current block) are represented by indexes of the palette, and then the indexes are coded and decoded, including but not limited to: dividing the index of a current block into several index strings with variable length, namely, carrying out index string copy coding and decoding. The basic operation of index string copy coding or decoding is to copy a reference index string from the set of indexed reconstructed reference pixel samples for each index coded string or index decoded string in the current block (referred to as the current index string for short), and assign the index value of the reference index string to the current index string. The copy parameters of the index string copy mode include a displacement vector and a copy length, i.e., a copy size, of the current index string, which respectively represent a relative position between the reference index string and the current index string and a length of the current index string, i.e., the number of corresponding pixel samples. The length of the current index string is also the length of the reference index string. A current index string has a displacement vector and a copy length. There are as many displacement vectors and as many copy lengths as there are index strings into which a current block is divided.

6) The index string replication and pixel string replication mixed fusion replication mode is called an index-pixel string fusion replication mode for short. When a current coding block or a current decoding block (called as a current block for short) is coded or decoded, a pixel string copy mode is adopted for part or all pixels, and an index string copy mode is adopted for part or all pixels.

Other copy methods include a rectangular copy method, a copy method in which a plurality of copy methods are mixed, and the like.

The block in the block copy scheme, the tile in the tile copy scheme, the stripe in the stripe copy scheme, the string in the string copy scheme, the rectangle in the rectangle copy scheme, and the pixel index string in the palette index scheme are collectively referred to as a pixel sample segment, which is simply a sample segment. The basic constituent element of a sample segment is a pixel or pixel component or pixel index. A sample segment has a copy parameter indicative of a relationship between the current pixel sample segment and the reference pixel sample segment. Thus, a sample segment is the smallest unit of a copy operation having the same copy relationship. A replication parameter comprises a number of replication parameter components, the replication parameter components comprising at least: displacement vector horizontal component, displacement vector vertical component, 1-dimensional displacement vector, linear address, relative linear address, index, palette linear address, relative index, palette relative linear address, copy length, copy width, copy height, rectangle width, rectangle length, unmatched pixel (also known as no reference pixel, i.e., non-copied pixel that is not copied from elsewhere).

In various copy schemes, the pixel samples or indices need to be arranged in a certain order. The arrangement is also referred to as a scanning mode. The scanning methods can be classified into the following types according to the path shape:

a) The horizontal zigzag scanning mode is also called a horizontal raster scanning mode. The pixel samples or indices of a coding block or decoding block (collectively referred to as a coding block) are arranged in rows and columns, all in the same direction (all left to right or all right to left) within all rows. The rows can be arranged from top to bottom or from bottom to top.

B) The vertical zigzag scanning is also called vertical raster scanning. The pixel samples or indices of a coding block or decoding block (collectively referred to as a coding block or a decoding block) are arranged in columns, and are arranged in the same direction (all from top to bottom or all from bottom to top) in all columns. The columns may be arranged from left to right or from right to left.

C) A horizontal arcuate scan pattern. The pixel samples or indices of a coding block or decoding block (collectively referred to as a coding block) are arranged in one row, in one direction (e.g., from left to right) in odd rows and in the other (opposite) direction (e.g., from right to left) in even rows. The rows can be arranged from top to bottom or from bottom to top.

D) A vertical arcuate scan pattern. The pixel samples or indices of a coding block or decoding block (collectively referred to as a coding block) are arranged in columns in one direction (e.g., top-down) in odd columns and in the other (opposite) direction (e.g., bottom-up) in even columns. The columns may be arranged from left to right or from right to left.

Note that "copy" is an operation of reconstruction and decoding, and the corresponding encoding operation is "match". Therefore, various copying methods such as a block matching method, a micro-block copying method, a line copying method, a pixel string copying method, an index string copying method, and the like are also referred to as a block matching method, a micro-block matching method, a line matching method, a pixel string matching method, an index string matching method, and the like.

In various existing copy methods, a reference pixel is an imperfect reconstructed pixel that is neither processed by a Deblocking Filter (DF) step nor a Sample Adaptive Offset (SAO) step. There may be a large error between the imperfect reconstructed pixel and the final perfect reconstructed pixel, resulting in a large error between the reference pixel and the original pixel, which reduces the compression efficiency of the image.

Disclosure of Invention

To solve the problem in the prior art of image video encoding and decoding, the present invention provides a method or apparatus for image encoding and decoding in which reference pixels are taken from at least two reconstructed pixels of different perfection. That is, a first portion of the reference pixels are refinement I reconstructed pixels, a second portion of the reference pixels are refinement II reconstructed pixels, a third portion of the reference pixels are refinement III reconstructed pixels, and so on. Preferably, the reconstructed pixels of different perfection are taken from different positions, i.e. different regions, of the image. Preferably, the reference pixels of a reference pixel sample segment are comprised of reconstructed pixels of at least two different perfections. Preferably, the reference pixels of a reference pixel sample segment are taken from at least two different regions of the image, the different regions having different degrees of perfection of the reconstructed pixels. According to the invention, the reference pixel range of the copy mode is divided into at least two different regions having reconstructed pixels of different perfection. According to the invention, in the copy mode, reference pixels of a reference pixel sample segment corresponding to a current pixel sample segment of a current coding or decoding block (collectively referred to as a coding or decoding block) are taken from at least two different regions having different levels of perfection of reconstructed pixels.

The invention is characterized in that the reference pixel is taken from K (K is more than or equal to 2, and usually K is less than or equal to 4) reconstructed pixels with different perfection degrees. For example, the reconstructed pixels are taken from the following 3 different perfections:

1) A reconstructed pixel that has not been subjected to either DF or SAO processing;

2) Reconstructed pixels processed by vertical edge DF;

3) All DF and SAO processed reconstructed pixels.

In the present invention, preferably, a reference pixel sample segment (a reference pixel sample string or a reference pixel sample block) corresponding to a current pixel sample segment (a current pixel sample string or a current pixel sample block) in the current CU is composed of K (K ≧ 2, usually K ≦ 4) reconstructed pixels with different degrees of sophistication. That is, a portion of the reference pixels of the reference pixel sample segment are the reconstructed pixels of perfection I, and the remaining portion of the reference pixels are the reconstructed pixels of the other K-1 perfections different from the perfection I.

In the present invention, it is preferred that the legal desirable reference pixel range for a current segment of pixel samples in the current CU is comprised of K (K ≧ 2, usually K ≦ 4) regions of different perfection reconstructed pixels. For example, it is composed of 3 regions.

In the present invention, preferably, the reference pixels of a reference pixel sample segment corresponding to a current pixel sample segment in the current CU are taken from K (K ≧ 2, usually K ≦ 4) regions of different perfection reconstructed pixels in the legal and desirable reference pixel range. For example, reference pixels of one reference pixel sample string are taken from regions of 3 different perfection reconstructed pixels, and reference pixels of another reference pixel sample block are taken from regions of 2 different perfection reconstructed pixels.

The most basic unique technical characteristic of the coding method or the device is that when a current coding block is coded in a copying mode, reference pixels of copying operation are taken from K (K is more than or equal to 2, and usually K is less than or equal to 4) reconstructed pixels with different perfection degrees. Fig. 1 is a schematic diagram of an encoding method or apparatus of the present invention. Preferably, the replication mode is one of the following modes or a fusion thereof: prediction mode (including intra-frame prediction or inter-frame prediction), intra-frame block copy mode, micro-block copy mode, stripe copy mode, string copy mode, index string copy mode; the copy operation is one of the following operations or a fusion thereof: prediction operation, intra block copy operation, micro block copy operation, strip copy operation, string copy operation, index string copy operation; accordingly, the reference pixels are reference pixels in a predictor (block), a reference block, a reference micro-block, a reference strip, a reference string, a palette, respectively.

The most basic special technical characteristic of the decoding method or the device is that when a video code stream of a current decoding block is decoded in a copying mode, reference pixels of copying operation are taken from K (K is more than or equal to 2, and usually K is less than or equal to 4) reconstructed pixels with different perfection degrees. Fig. 2 is a schematic diagram of a decoding method or apparatus of the present invention. Preferably, the replication mode is one of the following modes or a fusion thereof: prediction mode (including intra-frame prediction or inter-frame prediction), intra-frame block copy mode, micro-block copy mode, stripe copy mode, string copy mode, index string copy mode; the copy operation is one of the following operations or a fusion thereof: prediction operation, intra block copy operation, micro block copy operation, stripe copy operation, string copy operation, index string copy operation; accordingly, the reference pixels are reference pixels in a predictor (block), a reference block, a reference micro-block, a reference strip, a reference string, a palette, respectively.

According to an aspect of the present invention, there is provided an image encoding method or apparatus, including at least steps or modules for performing the following functions and operations:

at least 2 reconstructed pixels with different perfection degrees are adopted as reference pixels to carry out copy coding on the current coding block, and a video code stream containing information of copy parameters is generated.

According to another aspect of the present invention, there is also provided an image decoding method or apparatus, including at least steps or modules for performing the following functions and operations:

and analyzing the video code stream to acquire the information of the copy parameters, and copying and decoding the current decoding block by adopting at least 2 reconstructed pixels with different perfection degrees as reference pixels.

The invention is suitable for encoding and decoding the images in the pack format. The present invention is also equally applicable to encoding and decoding of component plane format images.

The technical features of the present invention have been described above with reference to several specific embodiments. Other advantages and effects of the present invention will be readily apparent to those skilled in the art from the disclosure herein. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention.

Drawings

Fig. 1 is a schematic diagram of an encoding method or apparatus of the present invention.

Fig. 2 is a schematic diagram of a decoding method or apparatus of the present invention.

Detailed Description

The following are further implementation details or variations of the present invention.

Examples or modifications 1

In the encoding method or device or the decoding method or device, the duplication encoding or decoding is one of the following encoding or decoding modes or a fusion thereof: predictive encoding or decoding, intra block copy encoding or decoding, micro block copy encoding or decoding, slice copy encoding or decoding, string copy encoding or decoding, index string copy encoding or decoding; the copy operation is one of the following operations or a fusion thereof: prediction operation, intra block copy operation, micro block copy operation, stripe copy operation, string copy operation, index string copy operation; accordingly, the reference pixels are reference pixels in a predictor (block), a reference block, a reference micro-block, a reference strip, a reference string, a palette, respectively.

Examples or modifications 2

In the coding method or device or the decoding method or device, the legal and desirable reference pixel range is composed of K (K is more than or equal to 2, and usually K is less than or equal to 4) regions with different perfect reconstruction pixels.

Examples of embodiment or modification 3

In the coding method or device or the decoding method or device, a legal and desirable reference pixel range of one current pixel sample value segment in the current coding block or the current decoding block consists of K (K is more than or equal to 2, and usually K is less than or equal to 4) regions with reconstructed pixels with different perfection degrees.

Examples of embodiment or modification 4

In the encoding method or device or the decoding method or device, the reference pixel of a reference pixel sample segment corresponding to a current pixel sample segment in the current encoding block or decoding block is taken from K (K is more than or equal to 2, and usually K is less than or equal to 4) regions of reconstructed pixels with different perfection degrees in a legal and desirable reference pixel range.

Examples or modifications 5

In the encoding method or apparatus or the decoding method or apparatus, the at least 2 reconstructed pixels with different perfection degrees at least include at least 2 reconstructed pixels of the following 3 reconstructed pixels:

1) Perfecting a reconstructed pixel of the degree I;

2) Perfecting reconstructed pixels of degree II;

3) And perfecting the reconstructed pixel of degree III.

Examples of embodiment or modification 6

In the encoding method or apparatus or the decoding method or apparatus according to embodiment or variation 5, the reconstructed pixels of the perfection degrees I, II, and III are:

1) A reconstructed pixel that has not been subjected to either DF or SAO processing;

2) Reconstructed pixels processed by vertical edge DF;

3) All DF and SAO processed reconstructed pixels.

Examples of embodiment or modification 7

In the encoding method or apparatus or the decoding method or apparatus according to embodiment or variation 5 or 6, the reconstruction pixels of the perfection levels I, II, III are respectively from the following regions in the current image:

1) The current CTU and the rightmost four columns of CTUs to the left and to the more left of the current CTU;

2) Four rows above the region that has not been reconstructed or the region of the 1);

3) The legal desirable reference pixel range does not belong to the area of either 1) or 2).

Claims (10)

1. An image encoding method that combines inter prediction and intra block copy into a single encoding mode, comprising at least the steps of:

1) Constructing at least 2 reconstructed pixels with different perfection degrees;

2) Encoding the encoding mode of the encoding block by using at least the reconstructed pixel as a reference pixel;

3) Generating a video code stream at least containing the information of the coding mode;

the at least 2 different levels of sophistication include at least one level of sophistication that has not been subjected to at least deblocking filtering and sample adaptive compensation.

2. An image encoding apparatus that combines inter prediction and intra block copy into a single encoding mode, comprising at least the following modules:

1) The reconstruction pixel construction module is used for constructing at least 2 reconstruction pixels with different perfection degrees;

2) The encoding module is used for encoding the encoding block in the encoding mode by adopting at least the reconstructed pixel as a reference pixel;

3) The video code stream generating module is used for generating a video code stream at least containing the information of the coding mode;

the at least 2 different perfection levels include at least one perfection level that has not been subjected to at least deblocking filtering and sample adaptive compensation processing.

3. An image decoding method that combines inter prediction and intra block copy into a single coding mode, comprising at least the steps of:

1) Analyzing the video code stream to obtain information at least containing the coding mode;

2) Constructing at least 2 reconstructed pixels with different perfection degrees;

3) Decoding a decoded block using at least the encoding mode and employing at least the reconstructed pixels as reference pixels for the encoding mode;

the at least 2 different levels of sophistication include at least one level of sophistication that has not been subjected to at least deblocking filtering and sample adaptive compensation.

4. The decoding method according to claim 3, wherein:

the decoding block is a decoding area of the image and comprises at least one of the following: a largest coding unit LCU, a coding tree unit CTU, a coding unit CU, a sub-region of a CU, a prediction unit PU.

5. The decoding method according to claim 3, wherein:

the reference pixel range of the encoding mode is divided into at least two regions having different perfection reconstructed pixels.

6. The decoding method according to claim 3, characterized by comprising one or any combination of the following features:

the method is characterized in that:

the at least 2 reconstructed pixels with different perfections at least comprise the following 2 reconstructed pixels:

1) The reconstructed pixels of the first perfection are reconstructed pixels which are not subjected to DF nor SAO processing;

2) The reconstructed pixels of the second perfection are the reconstructed pixels processed by all DF and SAO;

the reconstructed pixels with different perfection degrees are respectively taken from different areas of the reference pixel range of the image;

and (2) characteristic:

the at least 2 different perfection reconstructed pixels are the following 2 reconstructed pixels:

1) The first perfection of reconstructed pixels is those that have not been both DF nor SAO processed;

2) The second perfection of reconstructed pixels is DF and/or SAO processed reconstructed pixels;

the reconstructed pixels with different perfection degrees are respectively taken from different areas of a reference pixel range of the image;

and (3) feature:

the at least 2 different perfection reconstructed pixels are two or more of the following reconstructed pixels:

1) The first perfection of reconstructed pixels is those that have not been both DF nor SAO processed;

2) Other perfection reconstructed pixels are DF and/or SAO processed reconstructed pixels;

the reconstructed pixels with different perfection degrees are respectively taken from different areas of the reference pixel range of the image.

7. An image decoding apparatus that merges inter prediction and intra block copy into a single coding mode, comprising at least the following modules:

1) The video code stream analyzing module analyzes the video code stream to obtain information at least containing the coding mode;

2) The reconstruction pixel construction module is used for constructing at least 2 reconstruction pixels with different perfection degrees;

3) A decoding module for decoding the encoding mode for a decoded block using at least the encoding mode and employing at least the reconstructed pixels as reference pixels;

the at least 2 different levels of sophistication include at least one level of sophistication that has not been subjected to at least deblocking filtering and sample adaptive compensation.

8. The decoding apparatus according to claim 7, wherein:

the decoding block is a decoding area of the image and comprises at least one of the following: a largest coding unit LCU, a coding tree unit CTU, a coding unit CU, a sub-region of a CU, a prediction unit PU.

9. The decoding apparatus according to claim 7, wherein:

the reference pixel range of the encoding mode is divided into at least two regions having different perfection reconstructed pixels.

10. The decoding apparatus according to claim 7, comprising one or any combination of the following features:

the method is characterized in that:

the at least 2 reconstructed pixels with different perfection degrees at least comprise the following 2 reconstructed pixels:

1) The first perfection of reconstructed pixels is those that have not been both DF nor SAO processed;

2) The second perfection of reconstructed pixels is the reconstructed pixels processed by all DF and SAO;

the reconstructed pixels with different perfection degrees are respectively taken from different areas of the reference pixel range of the image;

and (2) feature:

the at least 2 different perfection reconstructed pixels are the following 2 reconstructed pixels:

1) The first perfection of reconstructed pixels is those that have not been both DF nor SAO processed;

2) The reconstructed pixels of the second perfection are the reconstructed pixels processed by DF and/or SAO;

the reconstructed pixels with different perfection degrees are respectively taken from different areas of the reference pixel range of the image;

and (3) feature:

the at least 2 different perfection reconstructed pixels are two or more of the following reconstructed pixels:

1) The first perfection of reconstructed pixels is those that have not been both DF nor SAO processed;

2) Other perfection reconstructed pixels are DF and/or SAO processed reconstructed pixels;

the reconstructed pixels with different perfection degrees are respectively taken from different areas of the reference pixel range of the image.

Images