Compressive Sensing based Image Reconstruction Algorithms – A Performance Review

Dr. Vasudha S; Anupama H; Dr. S Shanthala; Dr. H.R. Mahadevaswamy

Compressive Sensing based Image Reconstruction Algorithms – A Performance Review

Authors: Dr. Vasudha S, Anupama H, Dr. S Shanthala, Dr. H.R. Mahadevaswamy

Unique Paper ID: 144669
Volume: 4
Issue: 1
PageNo: 367-371

Keywords: Compressive Sensing Matching Pursuit Basis Pursuit Greedy algorithm Sparse representation Smoothed L0 norm

Abstract:
Compressive Sensing (CS) is a powerful high resolution image modelling technique which has been successfully applied in digital image processing and various computer vision applications. This paper will portrait the current image reconstruction algorithms, their drawbacks and an overview of performance metrics such as image quality and PSNR improvements. The performance metric modelling is carried to trade-off choice of reconstruction algorithm with the quality of the reconstructed image considering various applications.

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Cite This Article

ISSN: 2349-6002
Volume: 4
Issue: 1
PageNo: 367-371

Compressive Sensing based Image Reconstruction Algorithms – A Performance Review

Available:https://ijirt.org/Article?manuscript=144669

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Impact Factor
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UGC Approved
Journal no 47859

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