大孔径静态干涉多光谱图像压缩算法

The Image Compression Algorithm of the Large Aperture Static Imaging Interference Spectrometry

基于大孔径静态干涉成像光谱仪的成像特点,提出了一种适合于干涉多光谱图像的不等重要性权值率失真优化等级树压缩算法。该算法根据干涉多光谱图像在空间和频域的特点,对小波系数从空间方向树上按空间域中各光程差对恢复光谱信息的贡献重要性不同赋予不同的重要性权值,这样不仅弥补了SPIHT算法在码率分配上的不足,而且有效的保护了频域中的光谱信息。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8倍压缩比下,满足该类干涉多光谱图像压缩系统的质量要求。

Based on the analyses of the characteristics of the large aperture static Imaging spectrometry,a new compression algorithm based on Weighted Rate-Distortion Optimization truncation of Hierarchical Trees is proposed.Based on the features of images in temporal domain and Fourier domain,the spatial orientation tree wavelet coefficients are evaluated by different weighted value according to the different significance of the reconstructed spectrum,which not only remedies the defects in bit stream allocation in S...