基于块的比特分配的无损图像压缩算法  

A Lossless Image Compression Algorithm Based on Block Bit Allocation

作　　者：吴薇[1] 陈宗哲 余文森[1] 林丽惠[1] 常化文[3] 

机构地区：[1]武夷学院数学与计算机学院&图像视频处理与信息技术研究所,福建武夷山354300 [2]龙华科技大学机械工程系,台湾桃园33306 [3]郑州轻工业学院计算机与通信工程学院,河南郑州450002

出　　处：《吉林师范大学学报（自然科学版）》2015年第3期139-143,共5页Journal of Jilin Normal University:Natural Science Edition

基　　金：国家自然科学基金青年项目(61401404);福建省中青年教师教育科研项目(JB14103);南平市指导性科技计划项目(N2014D06);武夷学院青年教师基金专项(XQ1204)

摘　　要：为了获得最佳的无损图像压缩效果,提出一种基于块的比特分配技术(block bit allocation,BBA)的图像无损压缩算法,并采用三种数字图像模式:CT、MR和DR来评价该算法.实验结果显示,此算法对比标准LempelZiv和Huffman压缩算法能将CT图像的压缩比平均增加11%到19%,在MR图像中,平均增加12%到28%.对于DR图像,此方法比Huffman算法差9%.但是,压缩和解压缩速度会更快并且可用于在线医学图像压缩.To achieve an optimal lossless image compression , an improved method using block bit allocation technology was proposed .Images from three digital modalities of computed tomography （ CT） ,magnetic resonance imaging （ MR） and digital radiography （ DR） were used to evaluate the technique .Preliminary results showed that this method could achieve a 11%to 19% increase in the compression ratio for CT images and a 12% to 28%increase in the compression ratio for MR images as compared to standard Lempel-Ziv and Huffman coding methods.For DR images,this method performed about 9% worse than Huffman coding .However,the compression and decompression of this method was much faster and could be implemented on -line for teleradiology application .

关 键 词：块的比特分配 无损图像压缩 图像压缩算法 变长编码 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]