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Method for improving digital signal conversion performance, digital signal conversion method and device

A digital signal and performance technology, applied in the direction of digital video signal modification, image communication, electrical components, etc., can solve the problems of large transformation distortion, insufficient core de-correlation, and not good enough, so as to achieve the effect of high transformation performance

Active Publication Date: 2018-03-23
ZHEJIANG UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] It can be seen that whether it is H.265 or the AVS2 standard that is still being formulated, there is still room for improvement in the design of its transformation process (including the transformation kernel matrix and transformation process). Therefore, in video image coding, the existing The de-correlation of the digital signal transformation kernel is not strong enough, the degree of orthogonality and normalization is not good enough, resulting in excessive transformation distortion and unsatisfactory transformation performance

Method used

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  • Method for improving digital signal conversion performance, digital signal conversion method and device
  • Method for improving digital signal conversion performance, digital signal conversion method and device
  • Method for improving digital signal conversion performance, digital signal conversion method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0096] In an actual 8×8 transformation process, the realization of the transformation has the following requirements: each coefficient in the transformation kernel matrix A is an integer, and the storage space of each coefficient does not exceed 9 bits, namely

[0097] If α=3, β=γ=1, the transformation kernel matrix A must satisfy at the same time:

[0098] (a) [DCT(i,j)×Factor]-2≤A(i,j)≤[DCT(i,j)×Factor]+2

[0099](b) J(A)

[0100] The TH value is obtained according to the following:

[0101] The matrix M is in The matrix obtained by rounding and rounding according to formula (1) is as follows:

[0102]

[0103] Through calculation, J(M)=0.015159 can be obtained. Set the threshold TH=J(M).

[0104] Written in a set form is A∈{S:J(S)<0.015159}, and A satisfies the above condition (a). Through this constraint, several finite transformation kernel matrices can be obtained. An example of a certain transformation kernel matrix A is given below:

[0105]

[0106...

Embodiment 2

[0108] In an actual 16×16 transformation process, the realization of the transformation has the following requirements: each coefficient in the transformation kernel matrix A is an integer, and the storage space of each coefficient does not exceed 8 bits, ie Factor=256.

[0109] If α=2, β=γ=1, the transformation kernel matrix A must satisfy at the same time:

[0110] (a) [DCT(i,j)×Factor]-2≤A(i,j)≤[DCT(i,j)×Factor]+2

[0111] (b) J(A)

[0112] The TH value is obtained according to the following:

[0113] The matrix M is the 16×16 transformation kernel specified in the H.265 standard, as follows:

[0114]

[0115] Through calculation, J(M)=0.13377 can be obtained. Set the threshold TH=J(M).

[0116] Written in a set form is A∈{S:J(S)<0.13377}, and A satisfies the above condition (a). Through this constraint, several finite transformation kernel matrices can be obtained. An example of a certain transformation kernel matrix A is given below:

[0117]

[0118] J(A)...

Embodiment 3

[0120] In an actual 8×8 transformation process, the realization of the transformation has the following requirements: each coefficient in the transformation kernel matrix A is an integer, and the storage space of each coefficient does not exceed 8 bits, namely

[0121] If α=2, β=γ=1, the transformation kernel matrix A must satisfy at the same time:

[0122] (a) [DCT(i,j)×Factor]-2≤A(i,j)≤[DCT(i,j)×Factor]+2

[0123] (b) J(A)

[0124] The TH value is obtained according to the following:

[0125] The matrix M is the 8×8 transformation kernel matrix specified in the H.265 standard, as follows:

[0126]

[0127] Through calculation, J(M)=0.038484 can be obtained. Set the threshold TH=J(M).

[0128] Written in a set form is A∈{S:J(S)<0.038484}, and A satisfies the above condition (a). Through this constraint, several finite transformation kernel matrices can be obtained. An example of a certain transformation kernel matrix A is given below:

[0129]

[0130] Throu...

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Abstract

The present invention proposes a method and device for improving digital signal conversion performance and a digital signal conversion method and device, wherein the method for improving digital signal conversion performance includes: constructing a transformation kernel matrix A with N rows and N columns, and making the transformation kernel matrix A satisfies two conditions (a) and (b) at the same time: (a)[DCT(i,j)×Factor]‑2≤A(i,j)≤[DCT(i,j)×Factor]+2( b) J(A)<TH; where, J ( A ) = α × dist ( A ) + β × the norm ( A ) + gamma × north ( A ) α + β + gamma The invention can ensure higher conversion performance for digital signal processing.

Description

technical field [0001] The invention relates to the technical field of digital signal processing, in particular to a method and device for improving digital signal conversion performance, and a digital signal conversion method and device. Background technique [0002] As a digital signal processing method, video and image coding technology is the basis and key to the wide application of digital video and image, an important multimedia information. Under the current block-based video coding hybrid framework, video coding generally includes the following four blocks: predictive coding, transformation and quantization, entropy coding, and loop filtering. The main function of the transformation is to remove the correlation between the prediction residuals and concentrate the energy of the residuals, which is beneficial to the subsequent entropy coding and improves the efficiency of video coding as a whole. [0003] In JPEG, MPEG-1 / 2 / 4, H.261 and other video image coding standar...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/625
CPCH04N19/176H04N19/122H04N19/96H04N19/154H04N19/625H04N19/70
Inventor 朱兴国虞露陈杰
Owner ZHEJIANG UNIV
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