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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D. G. Pylarinos
2018-04-01
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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.
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topic |
compressive sensing block based approach line based approach reconstruction image |
url |
https://etasr.com/index.php/ETASR/article/view/1946 |
work_keys_str_mv |
AT mebrahim aperformancecomparativeanalysisofblockbasedcompressivesensingandlinebasedcompressivesensing AT shadil aperformancecomparativeanalysisofblockbasedcompressivesensingandlinebasedcompressivesensing AT dnawaz aperformancecomparativeanalysisofblockbasedcompressivesensingandlinebasedcompressivesensing AT mebrahim performancecomparativeanalysisofblockbasedcompressivesensingandlinebasedcompressivesensing AT shadil performancecomparativeanalysisofblockbasedcompressivesensingandlinebasedcompressivesensing AT dnawaz performancecomparativeanalysisofblockbasedcompressivesensingandlinebasedcompressivesensing |
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