基于模糊逻辑的无损视频压缩的算法

Lossless video compression method based on fuzzy logic

数字视频领域对高质量视频的需求使得无损压缩的应用范围越来越广,为此设计了基于模糊逻辑的无损视频压缩算法。该算法采用基于模糊逻辑的方法计算相邻帧的分块间的相似性以及分块的块内相似性,来确定时间预测与空间预测的选择,时间预测中定义了一种新的运动估计的匹配准则,最后通过相似度估计Golomb编码的最优参数,在无须复杂统计模型的情况下实现低复杂度、快速高效的Golomb编码。实验结果表明,与无损压缩算法JPEG-LS相比,在压缩率上有很大提高。

Lossless video coding is increasingly used because of the need of high quality videos in digital video areas. For this reason, a lossless video compression algorithm based on fuzzy logic was designed in this paper. It utilized fuzzy-logic- based method to calculate the correlation between two subblocks from neighbor frames and the interior correlation in the subblock, which can be used to decide the selection between temporal prediction and spatial prediction. A new matching rule of motion estimation was defined in temporal prediction. At last, the correlation can be adopted to estimate the parameter of Golomb coding and realize fast and efficient Golomb coding without complex calculation of estimation. The experimental results show that the proposed method has significant improvement in coding efficiency compared with the JPEG-LS.