基于加权率失真优化SPIHT算法的干涉多光谱图像压缩

基于空间调制型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加权率失真优化多级树集合分裂(SPIHT)光谱压缩算法。该算法根据干涉多光谱图像在时域和频域的特点,推导出时域中随着光程差的增大,干涉图像对频域中光谱曲线的形状影响越大。因此,在光程差方向上,逐渐提升率失真函数的斜率,增大对图像的保护程度,不仅弥补了SPIHT算法在码率分配上的不足,而且有效地保护了频域中的光谱信息。实验结果表明,无论在时域还是频域,该算法与现有算法相比,性能有明显改进。

Compression of Interference Spectral Image Based on Weighted Rate-Distortion Optimization for SPIHT

Based on the imaging characteristics of the spatially modulated imaging interferometer,the new compression method for interference spectral images,weighted rate-distortion optimization for set partitioning in hierarchical trees (SPIHT),is proposed.According to the image features in time and frequency domain,it is deduced by the proposed method that,with the increase of the optical path difference in time domain,the effect of interference spectral images on the spectral curve profile in frequency domain is increasing.In the optical path difference direction,the slope ratio of rate distortion is lifted increasingly,and the protection for images is enhanced, which not only makes up the deficiency of code rate distribution in SPIHT,but also protects the spectral information in frequency domain efficiently.The experimental results show that the proposed algorithm achieves improved performance over the conventional algorithm in time and frequency domain.