摘要
星载干涉多光谱图像序列通过图像匹配实行定位形成光谱序列 ,相邻图像之间具有很强的相关性 ,与一般图像序列不同的是 ,相邻图像之间具有明显的平移特点。为了充分利用这一特点实现有效的图像压缩 ,同时减少编码系统复杂度 ,提出了一种新的图像序列编码方法 ,通过小波域系数匹配算法检测出相邻图像之间的相对位移量 ,然后对差值图像进行类似于单幅图像的编码 ,从而提高了总体编码效率。本算法具有与相同单幅图像编码算法相当的低复杂度特点 ,只需要对单幅图像与模板的差值进行基于小波变换的编码 ,从而避免了基于三维小波变换的编码算法对系统存储量要求大以及编码延时大的缺陷。仿真结果表明 ,本算法比基于三维小波变换的编码算法效果更好。
Satellite multi-spectral image series are produced by image location, so there is strong correlation between neighbor images. The difference from usual image series is that there are apparent shift features between the image series. In order to use this feature to improve the compression efficiency and decrease the complexity of the coding system, a novel multi-spectrical image series coding algorithm is proposed. When the relative shift between two images is detected by the match algorithm in wavelet field, the error image between the images is coded in stead of the following image coding such that the whole coding efficiency is improved. The algorithm is simpler than the one based on three-dimensional wavelet transform, and the disadvantage with large memory requirement and big coding delay is overcome. The simulation results show that better effect is achieved than the one based on three-dimensional wavelet transform.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2004年第11期1499-1502,共4页
Acta Optica Sinica
