Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/54336
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.
URI: http://hdl.handle.net/10356/54336
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCBE Theses

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