DocumentCode
117663
Title
A performance comparison of existing de-blurring algorithms for digital images
Author
Prajitha, C. ; Pradeepa, D.
Author_Institution
Dept. of Electr. & Electron. Eng., Dr. Mahalingam Coll. of Eng. & Technol., Pollachi, India
fYear
2014
fDate
6-8 March 2014
Firstpage
1
Lastpage
5
Abstract
In this brief, we present a performance comparison of the existing deblurring algorithms viz., Lucy-Richardson, LPA-ICI algorithm, Sparse Prior algorithm, Wavelet transform in terms of Peak Signal To Noise Ratio (PSNR). We used standard test images which are subjected to motion blur and restored using state-of-art approaches. Experimental results using MATLAB revealed that wavelet transform algorithm fair better PSNR compared to the other approaches.
Keywords
image restoration; wavelet transforms; LPA-ICI algorithm; Lucy-Richardson; MATLAB; PSNR; deblurring algorithm; digital image; motion blur; peak signal to noise ratio; performance comparison; sparse prior algorithm; test image; wavelet transform algorithm; Cameras; Deconvolution; Degradation; Image restoration; PSNR; Signal processing algorithms; Transforms; Blur Types; Deblurring Techniques; Image Restoration;
fLanguage
English
Publisher
ieee
Conference_Titel
Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on
Conference_Location
Coimbatore
Type
conf
DOI
10.1109/ICGCCEE.2014.6922277
Filename
6922277
Link To Document