南京邮电大学学报（自然科学版）2011，Vol.31Issue(4)：61-66,6.
基于二维小波变换的图像压缩新算法
A New Image Compression Algorithm Based on Two-dimensional Wavelet Transform
摘要
Abstract
In order to realize high-speed image transmission with high-quality and use minimum wavelet coefficients to display the image,an image compression algorithm is proposed based on two-dimensional wavelet transformation.Firstly,the image is decomposed with two-dimensional wavelet to obtain a series of wavelet coefficients for each subband.Secondly,all wavelet coefficients of low-frequency subband are retained.Thirdly,important coefficients are extracted according to entropy criterion of normalized energy sequence.When the ratio of remainder coefficients entropy value and its maximum entropy value is relatively big (0.9 or so),these remainder coefficients can be neglected and data compression is realized.Finally,important coefficients of each subband are quantized and encoded.In the receiving terminal the image is reconstructed according to received digital signal.Experiments with compressed image signals verify the correctness and effectiveness of this algorithm.The results have shown that this algorithm is simple and feasible,and its search workload is small.It provides a new effective method for image compression and has practical application value.关键词
二维小波变换/图像压缩/能量序列/熵准则Key words
two-dimensional wavelet transform/image compression/energy sequence/entropy criterion分类
信息技术与安全科学引用本文复制引用
张翠芳,朱莉娟..基于二维小波变换的图像压缩新算法[J].南京邮电大学学报（自然科学版）,2011,31(4):61-66,6.基金项目
国家自然科学基金(60902065)资助项目 （60902065）
