基于小波域分块和码率分配的高分辨率图像低复杂度压缩方法  

A low complexity compression method based on block partition in wavelet region

作　　者：康维国[1] 李云松[1] 王柯俨[1] 宋娟[1] 

机构地区：[1]西安电子科技大学综合业务网国家重点实验室,陕西西安710071

出　　处：《中国体视学与图像分析》2009年第2期162-167,共6页Chinese Journal of Stereology and Image Analysis

基　　金：国家自然科学基金(60802076);国家自然科学基金(60532060);西安电子科技大学博士后创新基金(创05025)

摘　　要：本文提出了一种适于高分辨率图像的低复杂度图像压缩方法,高分辨率图像小波变换后在小波域进行分块,然后采用EBCOT方法并行压缩,对各分块图像根据纹理复杂度分配码率,解决了采用传统图像域分块方法造成的图像不同区域由于复杂性差异较大而引起的简单部分恢复质量很好,而复杂度高的部分恢复质量差甚至不可用的问题,同时避免了图像域分块引起的"方块效应"。实验结果表明,本文算法重建效果十分接近全局压缩效果,尤其适合各区域复杂度差异很大的遥感图像;算法复杂度低,易于硬件实现,适于遥感图像的星载实时压缩。A low complexity compression method for high resolution image based on block partition in wavelet region is proposed. The image is partitioned into blocks in wavelet domain and then compressed separately with EBCOT. The bitrate for each block is allocated according to the texture complexity of the block. The proposed method eliminates the ＂block effect＂ caused by traditional block partition in pixel domain, and solves the problem caused by traditional block partition that the areas with simple texture are good in reconstruction quality while those with complicated texture are too poor to be used because of the uneven distribution of texture complexity. The experimental results show that the compression performance of the proposed method is quite similar to the results obtained by global compression. The complexity of the proposed method is quite low and it can be easily implemented in hardware. Our compression method is particularly suitable for the high resolution remote sensing image with uneven distribution of texture complexity.

关 键 词：图像压缩 小波域分块 码率分配 重要性排序 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]