色彩再现的多光谱图像压缩

针对多光谱图像在色度高保真再现等领域的应用，为提高压缩效率，进一步存储传输，提出了WF系列编码方法，设计了APWS_RA算法，进而提出了一种低复杂度、光照稳定性好且支持跨设备再现的WF_APWS_RA压缩算法。首先研究了现有的基于光谱均方误差的小波嵌入编码原理，提出了色感应失真准则和视觉特性矩阵W;同时，优化了APWS编码算法的码率分配，形成APWS_RA编码算法;最后，结合以上技术，以色度误差准则指导编码，对视觉加权后的多光谱图像数据进行aPWS_rA编码，命名为WF_APWS_RA。WF_APWS_RA算法融合人眼视觉特性矩阵W，利用吸引力传播(Affinity Propagation)聚类挖掘加权图像的谱间冗余，小波变换去除其空间冗余，最后结合误差补偿机制和码率分配策略进行小波编码。实验表明，在相同比特率下，较现有低复杂度经典编码算法，WF系列编码方法能更有效地保留光谱中的色度信息，APWS_RA算法的重建光谱误差最小，WF_APWS_RA算法的重建色度精度优势明显。

Multispectral Image Compression Algorithms For Color Reproduction

In order to improve multispectral images compression efficiency and further facilitate their storage and transmission for the application of color reproduction and so on, in which fields high color accuracy is desired, WF serial methods is proposed, and APWS_RA algorithm is designed. Then the WF_APWS_RA algorithm, which has advantages of low complexity, good illuminant stability and supporting consistent color reproduction across devices, is presented. The conventional MSE based wavelet embedded coding principle is first studied. And then color perception distortion criterion and visual characteristic matrix W are proposed. Meanwhile, APWS_RA algorithm is formed by optimizing the rate allocation strategy of APWS. Finally, combined above technologies, a new coding method named WF_APWS_RA is designed. Colorimetric error criterion is used in the algorithm and APWS_RA is applied on visual weighted multispectral image. In WF_APWS_RA, affinity propagation clustering is utilized to exploit spectral correlation of weighted image. Then two-dimensional wavelet transform is used to remove the spatial redundancy. Subsequently, error compensation mechanism and rate pre-allocation are combined to accomplish the embedded wavelet coding. Experimental results show that at the same bit rate, compared with classical coding algorithms, WF serial algorithms have better performance on color retention. APWS_RA preserves least spectral error and WF_APWS_RA algorithm has obvious superiority on color accuracy.