Sparse image and signal processing

About “Sparse image and signal processing”

This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. It examines applications in diverse fields including astronomy, biology, physics, digital media, and forensics, while describing recent concepts of sparsity and morphological diversity for tasks such as denoising, inverse problem regularization, sparse signal decomposition, blind source separation, and compressed sensing.