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Title: Review of compressed sensing in imaging : algorithms and applications
Authors: Raviselvam Sujithra
Keywords: DRNTU::Engineering::Bioengineering
Issue Date: 2013
Abstract: Compressed sensing is a fast growing field in signal and image processing. If x is a given vector which can either be an image or a signal about which we have a prior knowledge that it is sparse in either of the basis, then this signal x can be reconstructed from much lesser measurements than the number of measurements which usually is considered to be necessary to give proper reconstruction. This can be done by using a measurements or sensing matrix of order m x n which is independently and identically distributed (IID) for which m<<n. This paper will review compressed sensing technique, steps involved in it and multiple algorithms that can be used to implement those steps and also representative applications of compressed sensing.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCBE Theses

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