摘要
针对大尺寸图像进行分块小波变换带来的块效应问题,采用重叠分块的方法,对各重叠块分别进行整数小波变换,并在分析单块图像整数小波变换的基础上提出了基于子带位平面的编码算法;解码时,对逆变换后得到的各个块按照原空间位置重叠相加,即可得到重建图像.实验表明,该算法复杂度低,占用内存少,速度快,无块效应,且各块的码率分配接近于最优方案,适合于遥感图像的高质量压缩编码.
In order to avoid block-effects caused by block-based wavelet transform, a compression algorithm based on overlapped block wavelet transform is presented. The original image is divided into overlapped blocks and each block is processed by integer-to-integer wavelet transform. Then the wavelet transform coefficients bits are coded by subband bit-plane coding (SBPC) algorithm. While decoding the reconstruct image can be obtained by reverse transformed blocks overlapping in the original place. With fast coding speed and no block-effects in the reconstruct image, the algorithm needs low memory for the large size image, which is suitable for remote-sensing image compression.
出处
《武汉大学学报(理学版)》
CAS
CSCD
北大核心
2004年第3期351-354,共4页
Journal of Wuhan University:Natural Science Edition
基金
国家重点实验室开放研究基金(WKL10070401)
关键词
重叠块小波变换
子带位平面编码
MQ算术编码
遥感图像压缩
overlapped block-based wavelet transform
subband bit-plane coding
MQ arithmetic coding
remote-sensing image compression@