Quantized optimization method used for high-efficiency video coding

A technology of high-efficiency video coding and optimization method, applied in the field of video coding, can solve problems such as large time complexity

Active Publication Date: 2014-07-23
SOUTHWEST JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

[0003] Although HEVC has greatly improved the compression efficiency compared with H.264, it still faces two main problems: speed optimization and visual perception optimization.
[0005] At the same time, HEVC uses Rate Distortion Optimized Quantization (RDOQ) in the quantization process. Each transform coefficient has several candidate quantization values. To determine the final quantization value, it is necessary to calculate the rate for each candidate value. Distortion cost, because the cost calculation of each division mode of CU, PU, ​​and TU must be quantized in the end, so RDOQ brings a lot of time complexity to the entire encoding process

Method used

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  • Quantized optimization method used for high-efficiency video coding
  • Quantized optimization method used for high-efficiency video coding
  • Quantized optimization method used for high-efficiency video coding

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Experimental program
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Embodiment

[0035] A. Visual Perception Threshold Calculation

[0036] Input a transformation unit TU, the encoder will perform DCT transformation (32x32, 16x16, 8x8, 4x4) according to the size of the TU, and then perform visual perception threshold calculation on the transformed coefficient block.

[0037] The model for calculating the visual perception threshold in the DCT domain usually consists of three parts: basic threshold, brightness adaptive coefficient, and texture mask.

[0038] When calculating the basic threshold, since there are four different sizes of transform blocks in HEVC, and the basic threshold of the AC coefficient is compared with the basic threshold of the DC coefficient, it is basically according to the radial distance between the position of the AC coefficient and the position of the DC coefficient. Exponential growth, so the basic threshold suitable for DCT transformation of different sizes can be designed according to the growth relationship between the positio...

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Abstract

The invention provides a quantized optimization method used for high-efficiency video coding (HEVC). Through performing visual perception threshold calculation on each transform unit (TU), a perception threshold of each transformation coefficient is obtained. In a quantization period, based on the thresholds, candidate quantization values are screened for each transformation coefficient and quantized values are restrained. At last, in a TU division mode selection period, visual perception information of a transform block is used to perform pre-judgment on the division mode of the TUs. The quantized optimization method used for the HEVC does not need to make any change on a decoder and a coding compression efficiency is improved and the coding speed is increased on the premise that a video subjective perception quality is kept to be unchanged.

Description

technical field [0001] The invention belongs to the field of video coding, and in particular relates to research on a visual perception-based quantization optimization method for HEVC. Background technique [0002] With the advancement of video capture and display technology, people's demand for video quality is constantly increasing. In recent years, even Ultra High Definition (Ultra High Definition) TVs have appeared, with a resolution of 8Kx4K (7680×4320), and the amount of video data The explosive growth of , urgently needs new coding tools to improve the compression ratio. At present, the high-efficiency video coding standard HEVC formulated by the Joint Collaborative Team on Video Coding (JCT-VC) jointly established by VCEG and MPEG has a compression efficiency about 40% higher than that of H.264. [0003] Although HEVC has greatly improved the compression efficiency compared with H.264, it still faces two main problems: speed optimization and visual perception optimi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/124H04N19/625
Inventor 刘翔凯彭强任健鹏闫川石也军
Owner SOUTHWEST JIAOTONG UNIV
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