Embedded zerotree wavelet coding of multispectral images
We propose two algorithms based on the embedded zerotree wavelet approach to encode multispectral images. The Said-Pearlman algorithm is adapted to the case of multispectral images by considering spectral vectors of pixels rather than isolated pixels and by carrying out either VQ or KLT on these vectors, so as to take into account interband dependencies. Numerical experiments on a sample multispectral image show a very good performance for both algorithms.