Table of Contents
Table of Contents
Preface
Chapter 1. Compressed Sensing, the ASBSR-Method of Image Sampling and Reconstruction, and the Problem of Digital Image Acquisition with the Lowest Possible Sampling Rate
(L. P. Yaroslavsky, Dept. of Physical Electronics, School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel)
Chapter 2. The Compressed Sensing Super Resolution of Multiple Images
(Wael H. Saafin, PhD, Department of Computer Science, Loughborough University, Loughborough, UK)
Chapter 3. Image Compressed Sensed Recovery Using Saliency-Based Adaptive Sensing and Residual Reconstruction
(Ali Akbari, Maria Trocan, and Bertrand Granado, Institut Superieur d’Electronique de Paris (ISEP), Paris, France, and others)
Index