一种图像自适应预测分组编码无损压缩方法  

A Sort of Image Lossless Compression Method Based on Self-adaptive Prediction and Group Encoding

作　　者：刘丽莉[1] 付东翔[1] 王亚刚[1] 

机构地区：[1]上海理工大学光电工程与计算机学院,上海200093

出　　处：《微电子学与计算机》2012年第10期148-151,156,共5页Microelectronics & Computer

摘　　要：结合经典无损预测编码方法和变长编码思想,提出了一种有自适应性的预测分组编码方法.通过自适应预测编码对不同纹理特征的图像均能有效地做去相关性处理,再结合图像数据分布规律通过分组编码实现图像的无损压缩.实验结果表明这套方法具有高压缩比和高压缩效率的特点.A self-adaptive prediction and group encoding method is proposed in combination with classic lossless prediction coding method and variable length encoding method. The pixel relevance of images with different texture features can be eliminated effectively through self-adaptive prediction encoding, after which the image lossless compression can be realized by group encoding in combination with regularities of distribution of image pixel values. The experiment results show that the proposed method has the features of high compression ratio and compression efficiency.

关 键 词：自适应 预测分组编码方法 相关性 无损压缩 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]