自适应提升小波在干涉高光谱压缩中的应用

An adaptive wavelet transformation used on interference hyperspectral image compression

为了更好地提高干涉高光谱图像的压缩性能,针对干涉成像光谱仪的成像原理,提出了一种自适应方向预测提升小波变换的方法,在帧序列方向的提升小波变换中,以自适应方向获得最佳预测值,并且改变传统三维提升小波的变换顺序,消除大部分干涉条纹冗余,大量实验证明本文方法得到的高频子带小波系数相对于传统方法在指定码率的情况下重构图像可以获得更高的信噪比,恢复的光谱曲线具有更小的均方误差.

To get better performance of interference hyperspectral image compression, according to the imaging principle ofinterference hyperspectral image, we propose an adaptive direction prediction wavelet transform forLWT （ Lifting Wavelet Transformation ） , to get the best predicted values through adaptive direction in the LWT on the frame direction, and change the order of the traditional wavelet transform. The experiment results prove that the proposed method can get higher SNR at the same bpppb compared with the traditional method, and can get smaller MSE in the recovered spectral curve.