Sparse Representations and Compressive Sensing for Imaging and Vision

丛 书 名：SpringerBriefs in Electrical and Computer Engineering

版本说明：2013

作     者：Vishal M. Patel Rama Chellappa 

I S B N：(纸本) 9781461463801 

出 版 社：Springer New York 

出 版 年：2013年

页      数：107页

主 题 词：Sparse representations. 

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：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.