Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity

摘要: This book presents the state of art in sparse and multiscale image signal processing, covering linear transforms, such as wavelet, ridgelet, or curvelet non-linear transforms based on median mathematical morphology operators. Recent concepts sparsity morphological diversity are described exploited for various problems denoising, inverse problem regularization, decomposition, blind source separation, compressed sensing. weds theory practice examining applications areas astronomy, biology, physics, digital media, forensics. A final chapter explores a paradigm shift showing that previous limits to information sampling extraction can be overcome very significant ways. Matlab IDL code accompany these methods reproduce experiments illustrate reasoning methodology research available download at associated Web site.