Satellite image compression by directional decorrelation of wavelet coefficients
Xavier Delaunay, Marie Chabert, Vincent Charvillat, Géraldine Morin, R. Ruiloba · IEEE International Conference on Acoustics Speech and Signal Processing · 2008
This paper presents a satellite image compression scheme based on a post-processing of the wavelet transform of images. The bandelet transform is a directional post-processing of wavelet coefficients. Thanks to a low computational complexity, this transform is a good candidate for future on-board satellite image compression systems. First, we analyze the ability of the bandelets to exploit directional correlations between wavelet coefficients. This study leads to an improved post-processing with a better decorrelation of adjacent wavelet coefficients in the vertical or in the horizontal direction taking into account the wavelet subband orientations. To perform even better decorrelation, bases are also build by principal component analysis (PCA). This results in an improved compression performance without increasing the computational complexity.