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Context-based modeling method and system in transform domain of image/video

A context and transformation domain technology, applied in image communication, digital video signal modification, electrical components, etc., can solve problems such as merging, approximate coefficient block merging, failure to jump out of the simple Zigzag scanning method, etc., to improve coding efficiency, The effect of stream length reduction

Inactive Publication Date: 2017-04-26
宁波观原网络科技有限公司
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  • Description
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  • Application Information

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Problems solved by technology

However, this technology has the following defects and deficiencies: Although this method uses the run-length method to encode the continuous 0 coefficients between two non-zero coefficients, this method does not combine other typical coefficients. Merge, and still fail to jump out of Zigzag's simple scanning method
However, this method still fails to fundamentally solve the disadvantages of the Zigzag scanning mode, and its adaptive scanning of transform coefficients is still carried out for a single coefficient, and does not merge coefficient blocks with similar properties. Therefore, this method The coding efficiency is still not satisfactory

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  • Context-based modeling method and system in transform domain of image/video
  • Context-based modeling method and system in transform domain of image/video
  • Context-based modeling method and system in transform domain of image/video

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Embodiment 1 2

[0046] Embodiment 1 Two-dimensional Markov modeling

[0047] In order to further demonstrate the innovation of the ABE method of the present invention, the most core processing process in many image and video compression standards and systems, that is, the entropy coding of quantized two-dimensional DCT coefficients is taken as an example. Traditional DCT coding system and block diagram of ABE coding system of the present invention are as figure 2 shown. Similar to the traditional DCT coding system, the ABE system also firstly inputs the image for DCT transformation and quantization, but unlike the Zigzag used in the traditional system, the ABE system adopts a more flexible adaptive block evolution method, thus having higher coding efficiency.

[0048] After quantization, most of the non-significant DCT coefficients are quantized to 0, while the remaining non-zero, ie significant coefficients, tend to gather along a certain direction. On the contrary, a large number of non...

Embodiment 2

[0054] Embodiment 2 image compression application

[0055] This embodiment includes the following steps:

[0056] The first step is to perform coefficient transformation on the input image;

[0057] The coefficient transformation described above can adopt DCT transformation or KLT (Karhunen-Loeve) transformation, or use other existing known transformation methods to combine with the following traversal methods, and it can be verified by experiments that it can achieve the same level as the present embodiment and Figure 7 A similar effect is shown in .

[0058] The coefficient transform can also be additionally quantized;

[0059] In the second step, context-based modeling of the transform coefficients and determination of the initial state s 0 ;

[0060] The initial state in this embodiment is coded in a generalized radius manner, and the initial state can be any of the following:

[0061] i) A number of coefficient blocks with a value of 1 gathered in the lowest frequen...

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Abstract

A modeling method and system based on the context in the transform domain of an image / video in the image / video coding / decoding and other processing technical fields. Compression or other processing can be performed on dynamic or static images by approximating a natural image to a two-dimensional Markov random field which has radial and reverse radial relevance simultaneously in the DCT transform domain or another transform domain and depicting the direction relevance of an image signal in a two-dimensional change domain using the model.

Description

technical field [0001] The present invention relates to a method and system in the field of image / video coding and decoding and other processing technologies, in particular to a method and system for describing the anisotropic correlation of natural images in a certain transformation domain (such as discrete cosine transform (DCT) domain) The two-dimensional Markov random field (Markov random field) modeling method and its system. Background technique [0002] Current image / video processing techniques, such as compression, reconstruction, enhancement, analysis, etc., are mostly performed in the transform domain. Commonly used transform domains include discrete cosine transform (DCT), discrete Fourier transform (DFT), and hada code transform. The function of the transform is to concentrate the energy in the image / video signal in a few transform coefficients, thereby significantly reducing the statistical redundancy in the signal. There are many descriptions of this process ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/625
CPCH04N19/122
Inventor 武筱林牛毅
Owner 宁波观原网络科技有限公司