Method for processing quantization distortion information of DCT coefficient in video coding

Abstract

The invention relates to a method for processing quantization distortion information of the DCT coefficient in video coding, which comprises the steps of S1, loading a distribution model of the DCT coefficient, wherein the distribution model of the DCT coefficient is composed of a Laplacian distribution part and a uniform distribution part; S2, optimizing the uniform distribution part of the distribution model of the DCT coefficient; S3, determining a quantization distortion estimated value function DLPTCM according to the distribution model of the DCT coefficient and a quantization reconstruction method; and S4, optimizing the quantization distortion estimated value function according to the optimized tail uniform distribution part of the distribution model of the DCT coefficient. Compared with the prior art, a quantization distortion estimation algorithm is calculated for a DZ+UTQ quantization method on the basis of a quantization distortion calculation method and the distribution model of the DCT coefficient, and the quantization distortion estimation algorithm in allusion to the construction rules well solves the application thereof in other optimization algorithm fields.

Description

technical field [0001] The invention relates to the field of video optimization and compression, in particular to a method for processing quantization distortion information of DCT coefficients in video coding. Background technique [0002] The quantization of DCT coefficients is the re-planning of the value order of the coefficients after the DCT transformation of the image, and the process inevitably produces certain distortions. The size of the quantization distortion value is determined by the sum of the errors between the initial value and the reconstructed value: [0003] [0004] Where: DCT coefficient sequence is {x i , i=1, 2, 3,..., n}, where n represents the number of data, corresponding to the reconstruction value [0005] Quantization distortion estimation is based on the real value of quantization distortion, which is transformed into a simple parameter calculation formula. The key to transforming the calculation method of quantization distortion lies i...

AI Technical Summary

Problems solved by technology

[0014] At present, the quantitative reconstruction rule of p=0 is widely used in the research of quantization distortion estimation algorithm, but the quantization distortion estimation algorithm with reconstruction rule of p=1 / 2 has not been perfected

In addition, the quantization distortion estimation algorithm is mainly used in the optimization design of the quantization table, the rate-distortion optimization, and the optimization quantization algorithm. Therefore, the lack of the quantization distortion estimation algorithm with the reconstruction rule p=1 / 2 limits the p= Wide Application of 1 / 2 Quantization and Reconstruction Rules in Coding and Compression Algorithms

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