Coding optimization method for high-definition video

Abstract

The invention discloses a coding optimization method for a high-definition video, and the method comprises the steps: prejudging the size of a current prediction unit: obtaining candidate prediction modes through steps 1)-3) for the coding of the prediction unit if the size of the current prediction unit is greater than a threshold value, or else obtaining candidate modes of the prediction unit through employing a sobel operator for the coding of the prediction unit; 1), dividing direction modes in prediction modes into a plurality of groups, selecting one representative mode from each group, taking the non-direction modes as one group and selecting one representative mode; 2), carrying out the rough mode selection cost value calculation of each representative mode, and obtaining a rough mode selection cost value HSAD of each representative mode; 3), selecting a plurality of representative modes with the minimum HSAD, carrying out the rough mode selection cost calculation of other prediction modes in a group where each representative mode is located, obtaining the HSAD of the corresponding prediction mode, and selecting a plurality of prediction modes with the minimum HSAD as the candidate prediction mode.

Description

technical field [0001] The invention relates to the field of computer image coding, in particular to a coding optimization method for ultra-high-definition video. Background technique [0002] With the development of science and technology and the advent of the era of large screens, traditional high-resolution images can no longer meet the increasing visual needs of the public. The broadcasting media industry is also pursuing more perfect and clear images and accelerating the improvement of video resolution. Therefore, Ultra-high-definition video has gradually become a development hotspot. [0003] Compared with high-definition video, ultra-high-definition video has many advantages. It has higher resolution and larger data volume. The color allows the audience to get a more immersive feeling. [0004] However, the large increase in data volume also makes ultra-high-definition video face great difficulties in data transmission and data storage. In order to ensure coding eff...

AI Technical Summary

Problems solved by technology

Compared with the previous coding standards, the HEVC coding standard has greatly increased computational complexity, and the coding time required for coding ultra-high-definition video sequences is too long, and most of the current optimization algorithms based on the HEVC coding standard are oriented to ordinary high-definition videos. Well combined with the characteristics of ultra-high-definition video

Images