A performance comparison of existing de-blurring algorithms for digital images

Green Computing Communication and Electrical Engineering（2014）

引用 0|浏览0

暂无评分

摘要

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.

查看译文

关键词

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,blur types,deblurring techniques,degradation,deconvolution

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要