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A Coefficient-Level Adaptive Quantization Method

An adaptive quantization and coefficient-level technology, applied in digital video signal modification, image communication, electrical components, etc., can solve the problems of inability to adapt to coarse quantization and fine quantization, and achieve the effect of video coding performance improvement

Active Publication Date: 2019-03-26
XIDIAN UNIV
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Problems solved by technology

[0006] In view of the above-mentioned defects in the prior art, the technical problem to be solved by the present invention is to provide a coefficient-level adaptive quantization method, which is different from block-level quantization, and the present invention is specific to the transform coefficients in a block, and the method can be adaptive to important Different transform coefficients with different characteristics are quantized differently, which is a more effective quantization, which improves the performance of video coding and solves the problem that the current block-level quantization method ignores the difference in the contribution of different transform coefficients in the TU, and cannot adapt to coarse quantization and fine quantization. The problem

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  • A Coefficient-Level Adaptive Quantization Method

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[0047] Such as figure 1 As shown, a coefficient-level adaptive quantization method is characterized in that it comprises the following steps:

[0048] S101. Perform orthogonal transform coding on the residual data to obtain transform coefficients;

[0049] S102. Scan the transformation coefficients stored in raster order, and use scan[i] to record the original raster scan coefficient index, but at this time it is already a new coefficient index order, where i is the new scan coefficient index, i=0,1 ,...N*N-1, where N=4,8,16,32;

[0050] S103. Construct a Gaussian quantization weight function, use the scan[i] obtained in S102 here, assign the attenuated weight value w(scan[i]) to the transformation coefficients whose importance becomes smaller in turn, and do corresponding dequantization at the same time Revise;

[0051] S104, the calculation of c in the weight function needs to consider different sequence sizes, because the energy concentration of TUs in different sizes is...

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Abstract

The present invention discloses a coefficient-level adaptive quantization method, characterized in including the steps of: predicting that the distribution of transform coefficients obtained after residual data is transformed has a certain characteristic which determines different importance of different coefficients; scanning coefficients in transform blocks using a transform coefficient scanning method; performing distinguishing quantization on the coefficients in the blocks in sequence in this scanning order, specifically, indirectly changing quantization parameters by assigning weights to quantization multiplier factors; and continuously attenuating the weights using Gaussian functions, so that the steepness can also be controlled. Meanwhile, a corresponding modification is made at the inverse quantization part. The method discloses by the present invention is specific to coefficient-level quantization, also has an adaptive characteristic, enables the residual to be fully compressed, is a coefficient-level adaptive quantization method capable of finely controlling quantization, and solves the problem that the current block-level quantization method cannot be adapted to coarse quantization and fine quantization because of neglecting the difference of the contribution of different transform coefficients in a transform unit (TU).

Description

technical field [0001] The invention relates to the technical field of high-definition video processing, in particular to a coefficient-level adaptive quantization method. Background technique [0002] Vision is the most important way for humans to perceive the world, and video plays a key role in various vision-related applications. However, video is an information carrier with a huge amount of data. If it wants to be used in practice, it must adopt efficient data compression and coding. Following the H.264 / AVC video coding standard, VCEG and MPEG formed a Joint Collaboration Team on Video Coding (JCT-VC) to formulate a new generation of high-performance video coding standard: HEVC (High Efficiency Video Coding) . Compared with the previous generation of video standards, HEVC saves 50% bit rate under the same video quality. [0003] HEVC follows the previous prediction-transform hybrid coding framework, including modules such as intra-frame prediction, inter-frame predic...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/124H04N19/122H04N19/61
CPCH04N19/122H04N19/124H04N19/61
Inventor 宋锐李三春李云松贾媛王养利赵园伟
Owner XIDIAN UNIV
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