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Sparse Image and Signal Processing

Description

This book is well organized, and it covers the theory and application of multiscale imaging and image processing. The authors provide Matlab algorithms for wavelet, ridgelet and curvelet transformations, as well as numerical experiments with detailed Matlab and IDL code for each chapter. A detailed list of the references provides further exploration of recent publications in the area.

The book's contents are well prepared for graduate-level students or advanced undergraduates who work in the field of image and signal processing or computer science. The book is also an indispensable resource for professionals looking to adopt innovative concepts for improving the performance of image processing.


Keywords

Sparsity Sparse Image Signal Processing Wavelet Ridgelet Curvelet Noise Morphological Diversity Sphere Compressed Sensing Incoherence Data Denoising Poisson Noise Multiresolution

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