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Scaling the Effectiveness of Existing Compressive Sensing in Multimedia Contents

by Lakshminarayana. M, Mrinal Sarvagya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 9
Year of Publication: 2015
Authors: Lakshminarayana. M, Mrinal Sarvagya

Lakshminarayana. M, Mrinal Sarvagya . Scaling the Effectiveness of Existing Compressive Sensing in Multimedia Contents. International Journal of Computer Applications. 115, 9 ( April 2015), 16-26. DOI=10.5120/20180-2396

@article{ 10.5120/20180-2396,
author = { Lakshminarayana. M, Mrinal Sarvagya },
title = { Scaling the Effectiveness of Existing Compressive Sensing in Multimedia Contents },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 9 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 16-26 },
numpages = {9},
url = { },
doi = { 10.5120/20180-2396 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:54:22.298488+05:30
%A Lakshminarayana. M
%A Mrinal Sarvagya
%T Scaling the Effectiveness of Existing Compressive Sensing in Multimedia Contents
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 9
%P 16-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

Compression has always played a crucial role in storage and transmission of heavier multimedia files. The existences of compression algorithms are more than two decade old. The normal compression algorithms are sometimes not required to process a signal in many cases where the signals are sparse. In such cases, compressive sensing highly contributes and compensates the issues of conventional compression algorithms as it performs sampling as well as compression at a same time. The concept of compressive sensing is quite new and is not much in matured stage. Our findings reported in this paper is a result of observation being carried out on all major research journals, which states that there are little amount of studies being done on compressive sensing and reconstruction of multimedia contents. The paper also discusses about the significant research gap and evaluates teh effectiveness of existing techniques.

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Index Terms

Computer Science
Information Sciences


Compressive Sensing Compressive Sampling Compression Multimedia Lossless.