电子学报2018，Vol.46Issue(4)：969-974,6.DOI:10.3969/j.issn.0372-2112.2018.04.027
一种基于纹理方向自适应预测和游程哥伦布编码的帧存无损压缩算法
A Frame Memory Lossless Compression Using Grain Directional Adaptive Prediction and Golomb Run-Length Entropy Coding
摘要
Abstract
To improve the compression performance,a frame memory lossless compression using grain-directional adaptive prediction and Golomb run-length entropy coding is proposed.First,the optimal reference pixels were obtained through double-scan and multi-directional prediction;then,the pixel differences were calculated and entropy-coded through Golomb and run-length.In this way,the compression performance is improved.Simulation results show that compared with those of reference frame lossless compression based on intra prediction and Golomb entropy coding,the average compression ratio is increased by 16％ while the average coding time is reduced when using the proposed algorithm.关键词
参考帧/无损压缩/预测/熵编码Key words
reference frame/lossless compression/prediction/entropy coding分类
信息技术与安全科学引用本文复制引用
罗瑜,唐博..一种基于纹理方向自适应预测和游程哥伦布编码的帧存无损压缩算法[J].电子学报,2018,46(4):969-974,6.基金项目
国家自然科学基金(No.81573624) （No.81573624）
陕西省自然科学基金(No.2014K14-02-02) （No.2014K14-02-02）
