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
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;
Conference_Titel :
Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on
Conference_Location :
Coimbatore
DOI :
10.1109/ICGCCEE.2014.6922277
