HEVC coding size rapid determining method based on texture complexity

Abstract

The invention relates to an HEVC coding size rapid determining method based on texture complexity. According to the method, sub-sampling at the ratio of 16:1 is conducted on LCUs, subsequent time spent in calculating the texture complexity is shortened to 1/16 of original time, and then a two-stage determining mechanism is introduced; firstly, an ASAD model is used for preliminarily determining the texture complexity of blocks obtained after sub-sampling is conducted on the LCUs, erroneous judgment is prevented by setting two threshold values, and large-size coding units are adopted for the LCUs with simple texture, and small-size coding units are adopted for the LCU with complex texture; secondly, based on upper-stage determination results, an MAD model is adopted, whether coding units in other sizes are added or not is determined, and the accuracy of texture determining is improved. By means of the HEVC coding size rapid determining method based on the texture complexity, the algorithm complexity can be reduced greatly, the texture can be accurately determined, and the algorithm accuracy is improved.

Description

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AI Technical Summary

Benefits of technology

This technology helps speed up processing times while still maintaining accurate data analysis capabilities. It uses advanced techniques such as 16% subsampling or 2 levels of detection instead of older methods like binary search (BFS) that require more computational resources compared to previous algorithms. By performing these technical improvements, this method allows for faster and easier identification of different types of content within image blocks without relying solely upon predetermined criteria.

Problems solved by technology

This patents discusses how compression techniques like VC or MPEG help make images look better when displayed on devices that require higher resolution than what they were previously capable of handling. However, there may also exist variations between screen sizes and colors due to factors such as pixel arrangement within the display device itself. These differences result from various sources including manufacturing tolerances, environmental conditions during use, and human activity. To address this problem, some current standards propose specific algorithms called adaptive loop filtering (ALF) algorithm, where the decoded frames are adjusted based upon their own content rather than just its original type.

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