Intra-frame prediction mode selection method in combination with texture spatial correlation

Abstract

The invention discloses an intra-frame prediction mode selection method in combination with texture spatial correlation. The method comprises the following steps: S1, carrying out statistical analysison the utilization rate of each prediction mode when different quantization parameters are adopted under different prediction units in an intra-frame prediction mode selection process, and selectingfour main texture prediction directions in a texture prediction direction based on a statistical result; s2, analyzing each main texture prediction direction and calculating an image pixel value deviation of a prediction unit, judging whether a prediction unit is smooth or not by utilizing the image pixel value deviation, and when the prediction unit is judged to be smooth, using a DC mode and a Planar mode as the input of a rate distortion optimization stage to obtain an optimal prediction mode; and if not, constructing a texture prediction candidate set based on a multi-reference line technology as the input of a rate distortion optimization stage, and then terminating rate distortion optimization in advance by sequentially utilizing a first adaptive threshold model constructed based onSATD cost and a second adaptive threshold model constructed based on RD cost to obtain an optimal prediction mode.

Description

technical field [0001] The invention relates to the field of multimedia coding, in particular to an intra-frame prediction mode selection method combined with texture spatial correlation. Background technique [0002] Vision is the main way for human beings to perceive and understand the external world. American experimental psychologist Chi Ruitra has confirmed through a large number of experiments that 83% of the information obtained by human beings comes from vision. As the main carrier of visual information, video has gradually become an indispensable part of people's lives. With the development of the Internet, smart phones and multimedia technologies, video presentation methods have become more diverse, and people's experience of video perception has also improved. It is mainly reflected in the following two aspects: first, the sharp increase in the amount of video data, which mainly refers to the continuous improvement of spatial resolution, and now high-definition vi...

AI Technical Summary

Problems solved by technology

[0005] The present invention studies the problem of intra-frame prediction mode selection. Intra-frame coding is one of the most time-consuming functional modules in the HEVC standard. The intra-frame prediction of the luminance component provides 35 types of prediction for each size of the prediction unit. Compared with the H.264 / AVC standard, the intra prediction direction is more finely divided, but the prediction complexity is also greatly increased. In addition, the HEVC standard uses the method of traversing all intra prediction modes, which consumes a lot of calculations in redundant In the redundant prediction mode, the prediction efficiency is reduced, which is not conducive to the real-time application of the HEVC standard

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