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A Three-Description Lattice Vector Quantization Predictive Side Decoding Method

A technology of vector quantization and decoding method, which is applied in the field of three-description lattice vector quantization predictive decoding algorithm, can solve the problem of insufficient consideration of description correlation, etc., and achieve the effect of improving image quality

Active Publication Date: 2019-03-29
HOHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing three-description lattice vector quantization methods decode each description individually when partial descriptions are received, without fully considering the correlation between descriptions

Method used

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  • A Three-Description Lattice Vector Quantization Predictive Side Decoding Method
  • A Three-Description Lattice Vector Quantization Predictive Side Decoding Method
  • A Three-Description Lattice Vector Quantization Predictive Side Decoding Method

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Embodiment Construction

[0035] Let’s first introduce the symbols used in this article in detail: use x to represent a vector composed of wavelet coefficients, and the vector x(i,j) is located in the i-th row and j-th column of the entire image; the vector x(i,j) after quantization The fine grid point is denoted as λ(i,j), and λ k '(i, j) represents the kth coarse grid point obtained by the index assignment mapping of the fine grid point, where k=1,2,3; the index assignment mapping that maps one fine grid point to three coarse grid points The function is represented by α(), and the corresponding inverse mapping function is denoted as α -1 (); the reconstruction value of the vector x(i,j) is used to express.

[0036] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0037] On the encoding side, such as figure 1 As shown in , to perform three-description wavelet transform image coding on an input image, the steps are as follows:

[0038] First,...

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Abstract

A three-description grid-type vector quantification prediction side decoding algorithm relates to a multi-description coding field. According to the algorithm, through utilizing different correlations of different sub-bands in wavelet transformation image coding and correlations between indexes according to an existing multi-description-grid-type vector quantification index distribution method, and prediction side decoding is performed on the condition that only two descriptions in three descriptions are received and on the condition that only one description in three descriptions is received. Compared with the prior art, the algorithm is advantageous in that index correlation between different vectors and same vectors are sufficiently utilized so that higher image decoding quality can be obtained on the condition of performing side decoding on two descriptions and performing side decoding on one description.

Description

technical field [0001] The invention relates to the field of multi-description coding, in particular to a three-description lattice type vector quantization predictive decoding algorithm. Background technique [0002] Aiming at the problem of robust transmission of compressed images, multiple description coding (Multiple Description Coding, referred to as MDC) technology provides an effective solution. Multiple description coding technology codes the same image signal to generate multiple different coded versions. Each version is called a description and is transmitted independently over the unreliable network. At the receiving end, each description can independently provide a rough reconstructed image signal with acceptable quality, and more descriptions can be combined to obtain a reconstructed image with better quality. Since the image coded using MDC technology can still be reconstructed even if part of the description is lost, it does not require retransmission of los...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/39H04N19/63
CPCH04N19/39H04N19/63
Inventor 徐媛媛
Owner HOHAI UNIV