A compression algorithm of hyperspectral remote sensing image based on 3-D Wavelet transform and fractal

In this paper, the 3-D wavelet-fractal coding was used to compress the hyperspectral remote sensing image. The classical eight kinds of affine transformations in 2-D fractal image compression were generalized to nineteen for the 3-D fractal image compression. Hyperspectral image date cube was first translated by 3-D wavelet and then the 3-D fractal compression coding was applied to lowest frequency subband. The remaining coefficients of higher frequency subbands were encoding by 3-D SPIHT. We use eight-fork tree division algorithm to improve the matching accuracy and reduce the time of fractal coding. The new compression method had been tested by MATLAB. The experiment results indicate that we can gain high compression ratios and the information loss is acceptable.