Sparse Representations and Compressive Sensing for Imaging and Vision

Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measurements, the signal is then reconstructed by non-linear procedure. Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways. In this book, we highlight some of the key mathematical insights underlying sparse representation and compressed sensing and illustrate the role of these theories in classical vision, imaging and biometrics problems.

List of contents

Introduction.- Compressive Sensing.- Compressive Acquisition.- Compressive Sensing for Vision.- Sparse Representation-based Object Recognition.- Dictionary Learning.- Concluding Remarks.

Summary

Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal.  These measurements are usually much smaller than the number of samples that define the signal.  From these small numbers of measurements, the signal is then reconstructed by non-linear procedure.  Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways.  In this book, we highlight some of the key mathematical insights underlying sparse representation and compressed sensing and illustrate the role of these theories in classical vision, imaging and biometrics problems.

Product details

• Authors: Rama Chellappa, Ramalingam Chellappa, Vishal Patel, Vishal M Patel, Vishal M. Patel
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 18.12.2012
• EAN: 9781461463801
• ISBN: 978-1-4614-6380-1
• No. of pages: 102
• Dimensions: 156 mm x 237 mm x 7 mm
• Weight: 188 g
• Illustrations: X, 102 p. 41 illus.
• Series: SpringerBriefs in Electrical and Computer Engineering; SpringerBriefs in Electrical and Computer Engineering
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; C, engineering, Computer Vision, Image Processing and Computer Vision, Signal, Image and Speech Processing, Signal Processing, Optical data processing, Speech processing systems, Image processing, Signal, Speech and Image Processing