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Infra-frame prediction method

A technology for intra-frame prediction and block prediction, applied in television, electrical components, image communication, etc., can solve the problem of high computational complexity, achieve the effect of improving computing speed and reducing the amount of computing

Inactive Publication Date: 2008-07-16
BEIJING UNIV OF TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0027] The purpose of the present invention is to provide an intra-frame prediction method for the defects of the prior art, to solve the problem of high computational complexity of the existing intra-frame prediction method, improve the speed of intra-frame prediction encoding, and facilitate the real-time application

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Embodiment 1

[0042] FIG. 4 is a flow chart of Embodiment 1 of the intra prediction method of the present invention. The intra prediction method includes:

[0043] Step 41: Select a 4×4 pixel brightness block to be predicted as the current block;

[0044] Step 42: judging whether the current block is a central block, if so, execute step 43, otherwise, execute step 44;

[0045] Step 43: Calculate the energy function of the prediction block of the current block and the residual of the current block in all prediction modes, and determine candidate prediction modes according to the energy functions in different prediction modes, and perform step 45;

[0046] Step 44: Use available prediction modes as candidate prediction modes, and perform step 45;

[0047] Step 45: Calculate the rate-distortion cost parameters of the candidate prediction modes, and select the candidate prediction mode with the smallest rate-distortion cost parameter as the optimal prediction mode of the current block.

[004...

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Abstract

The invention relates to an intra-frame prediction method, comprising the following steps that: a 4x4 pixel luma block to be predicted is chosen to be as a current block; whether the current block is the center block is judged, if yes, energy functions of the residual error between prediction blocks of the current block and the current block in all predicting modes and a candidate predicting mode is determined according to the energy functions in different predicting modes, otherwise, a usable predicting mode is taken as the candidate predicting mode; a rate-distortion cost parameter in the candidate predicting mode is calculated, the candidate predicting mode with the minimal rate-distortion cost parameter is taken as the optimal predicting mode of the current block. The invention determines the candidate predicting mode according to the residual error energy function and determines the optimal predicting mode by calculating the rate-distortion cost parameter of the candidate predicting mode so as to decrease the number of the predicting modes which need to calculate the rate-distortion cost parameter, thereby reducing the amount of computation.

Description

technical field [0001] The present invention relates to an intra-frame prediction method, in particular to an intra-frame prediction method capable of effectively improving operation speed. Background technique [0002] The new-generation video coding standard H.264 / AVC has good network performance and is suitable for interactive and non-interactive application environments. It has received great attention since its release, and its notable advantage is high compression efficiency. Figure 1 shows the frame diagram of the encoder of the H.264 / AVC standard, and its working process can be divided into a forward channel and a reconstruction channel according to the data flow direction. current frameF n The encoding of the original image is to encode the macroblock of 16×16 pixels. The macroblock encoding is divided into intra-frame coding and inter-frame coding. In the intra-frame coding and inter-frame coding, the predicted macroblock P is obtained from the reconstructed frame...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N7/32H04N7/50H04N19/103H04N19/147H04N19/159
Inventor 尹宝才施云惠冯会晓孙艳丰李敬华
Owner BEIJING UNIV OF TECH
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