A multiscale relaxation algorithm for SNR maximization in nonorthogonal subband coding

A novel technique enhances nonorthogonal multiresolution transforms for image encoding by minimizing the L(super 2) reconstruction error. This is done on the possible set of encoded images. A multiscale relaxation algorithm computes the suboptimal solutions by using intra- and inter-scale noise feedback filters, and this maximizes the signal-to-noise ratio. The coding problem involves high-dimensional discrete optimization.