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Method and apparatus for estimating video distortion in AVS video encode

A technology of video distortion and video coding, applied in the field of video coding and decoding, which can solve the problems of long RDO time-consuming and many hardware resources, etc.

Inactive Publication Date: 2009-04-15
江苏民乐惠商务科技有限公司
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  • Application Information

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Problems solved by technology

The present invention adopts a new method to approach D, which basically solves the problems of RDO time-consuming and excessive hardware resources

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  • Method and apparatus for estimating video distortion in AVS video encode
  • Method and apparatus for estimating video distortion in AVS video encode
  • Method and apparatus for estimating video distortion in AVS video encode

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Embodiment Construction

[0059] The design idea of ​​the present invention is applicable to any AVS standard encoder, and will be further described below in conjunction with the accompanying drawings and the 8-parallel pixel pipeline structure.

[0060] In order to process the data sent to the RDO in real time, the present invention adopts an 8-pixel parallel structure during hardware implementation, and saves hardware cost and reduces pipeline depth to the greatest extent. In order to solve the problem that the area is too large and the clock cycle is not enough when the RDO hardware is implemented, the present invention has made corrections and replacements to the traditional algorithm, and proposed several approximate schemes, these schemes include: splitting the traditional quantization module in hardware implementation For the pre-scale module (Pre-Scale) and the quantization module, a post-scale (Suf-Scale) module is added after dequantization; the algorithm uses the distortion degree (D) in the ...

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Abstract

The invention discloses a video distortion estimation method in AVS video coding and a device thereof and belongs to the field of video coding and decoding. The method is as follows: carrying out integer transform on the data of an inputted residue difference value and carrying out zooming on the conversion coefficients; then carrying out quantification on the data after the zooming and simultaneously memorizing the data after the zooming, carrying out inverse quantization on the data after the quantification and comparing the outputted inverse quantization data and the memorized data after the zooming to obtain a distortion value the pixel of which is quantified and inversely quantified. The device comprises a residue difference module, a conversion module, a pre-zooming module, an FIFO module, a quantization module, an inverse quantization module, a post zooming module and a distortion adding module. Compared with the prior art, the invention greatly improves the decision time and reduces the depth of a production line. Simultaneously the arithmetic of the invention is closer to the real distortion and improves the video quality.

Description

technical field [0001] The invention relates to a video distortion estimation method in AVS video coding and a device thereof. The method is mainly used in the field of information source processing, especially in the field of video coding and decoding. Background technique [0002] In video coding and decoding, there are trade-offs between different modes of video in both motion estimation and mode decision-making. The second-generation audio and video standard proposes a cost function C=D+λR based on RDO (Rate-Distortion Optimization). Among them, D represents the degree of distortion of the video, R represents the number of bits required to encode the video, and λ represents the weight factor of D and R, which is the Lagrange daily number. [0003] The AVS standard is a new video coding technology with independent property rights and independent innovation technology. At present, the video part (AVS-P2) has officially become a national standard. AVS video coding adopts ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/32H04N19/105H04N19/147H04N19/597
Inventor 曹喜信彭小明张兴
Owner 江苏民乐惠商务科技有限公司
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