摘要
根据干涉多光谱图像的特点,提出一种基于分布式信源编码的干涉多光谱图像压缩算法。干涉多光谱图像序列的相邻图像之间具有明显的平移特性,编码端通过块匹配算法检测出相邻帧间的相对位移量,联合块匹配算法估计的边信息帧进行比特平面码率估计,采用基于率失真提升的感兴趣区域编码,调整图像不同区域的率失真斜率来进行更合理的码率分配。实验结果表明,该算法比传统算法更好地保护了多光谱图像的光谱信息,在不同压缩比的情况下,满足卫星干涉多光谱图像压缩系统要求,易于硬件实现,更适于星上环境的应用。
According to the analyses of the interferential multispectral images, a new compression algorithm based on distributed source coding is proposed. There are apparent shift features between the image series, the relative shift between two in,ages is detected by the match algorithm at bitplane with the estimated side information frame. Then our the encoder. Our algorithm estimates the rate of each algorithm adopts a regions of interest （ROI） coding algorithm, in which the rate-distortion lifting procedure is carried out to allocate coding rate in reason according to the difference significance of image regions. The experimental results show that the proposed algorithm achieves improved spectral performance over the conventional algorithms. With different compression ratios, the algorithm satisfies the requirements of interference multi-spectral image compression system, and efficiently reduces the cost of computation and memory usage.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2008年第8期1463-1468,共6页
Acta Optica Sinica
基金
国家自然科学基金重点项目(60532060)
国家自然科学基金(60507012
60672117)资助课题
关键词
信息光学
干涉多光谱图像压缩
分布式信源编码
率失真
information optics
interference multi-spectral image compression
distributed source coding
ratedistortion
