A Performance Comparative Analysis of Block Based Compressive Sensing and Line Based Compressive Sensing

Compressive sensing (CS) is an innovative idea that has opened new areas for viable communication of correlated data. In this paper, a comparative performance analysis of two different variants of compressive sensing i.e. block based compressive sensing (BCS) and line based compressive censing (LCS)...

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Main Authors: M. Ebrahim, S. H. Adil, D. Nawaz
Format: Article
Language:English
Published: D. G. Pylarinos 2018-04-01
Series:Engineering, Technology & Applied Science Research
Subjects:
Online Access:https://etasr.com/index.php/ETASR/article/view/1946
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spelling doaj-a6345dab640c419a846bfdfee252c3012020-12-02T12:37:29ZengD. G. PylarinosEngineering, Technology & Applied Science Research2241-44871792-80362018-04-0182507A Performance Comparative Analysis of Block Based Compressive Sensing and Line Based Compressive SensingM. Ebrahim0S. H. Adil1D. Nawaz2Department of Computer Science, Iqra University, Karachi, PakistanDepartment of Computer Science, Iqra University, Karachi, PakistanDepartment of Computer Science, Iqra University, Karachi, PakistanCompressive sensing (CS) is an innovative idea that has opened new areas for viable communication of correlated data. In this paper, a comparative performance analysis of two different variants of compressive sensing i.e. block based compressive sensing (BCS) and line based compressive censing (LCS) schemes is performed for natural images. The idea is to evaluate which variant performs better in terms of reconstruction quality and provides easy initial solution. The experimental analysis demonstrates that LCS scheme can enhance the image reconstruction at lower subrates by 0.5 dB to 2.5 dB, when compared to the BCS scheme. https://etasr.com/index.php/ETASR/article/view/1946compressive sensingblock based approachline based approachreconstructionimage
collection DOAJ
language English
format Article
sources DOAJ
author M. Ebrahim
S. H. Adil
D. Nawaz
spellingShingle M. Ebrahim
S. H. Adil
D. Nawaz
A Performance Comparative Analysis of Block Based Compressive Sensing and Line Based Compressive Sensing
Engineering, Technology & Applied Science Research
compressive sensing
block based approach
line based approach
reconstruction
image
author_facet M. Ebrahim
S. H. Adil
D. Nawaz
author_sort M. Ebrahim
title A Performance Comparative Analysis of Block Based Compressive Sensing and Line Based Compressive Sensing
title_short A Performance Comparative Analysis of Block Based Compressive Sensing and Line Based Compressive Sensing
title_full A Performance Comparative Analysis of Block Based Compressive Sensing and Line Based Compressive Sensing
title_fullStr A Performance Comparative Analysis of Block Based Compressive Sensing and Line Based Compressive Sensing
title_full_unstemmed A Performance Comparative Analysis of Block Based Compressive Sensing and Line Based Compressive Sensing
title_sort performance comparative analysis of block based compressive sensing and line based compressive sensing
publisher D. G. Pylarinos
series Engineering, Technology & Applied Science Research
issn 2241-4487
1792-8036
publishDate 2018-04-01
description Compressive sensing (CS) is an innovative idea that has opened new areas for viable communication of correlated data. In this paper, a comparative performance analysis of two different variants of compressive sensing i.e. block based compressive sensing (BCS) and line based compressive censing (LCS) schemes is performed for natural images. The idea is to evaluate which variant performs better in terms of reconstruction quality and provides easy initial solution. The experimental analysis demonstrates that LCS scheme can enhance the image reconstruction at lower subrates by 0.5 dB to 2.5 dB, when compared to the BCS scheme.
topic compressive sensing
block based approach
line based approach
reconstruction
image
url https://etasr.com/index.php/ETASR/article/view/1946
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