DocumentCode :
3778777
Title :
Performance evaluation of image restoration methods for comparative analysis with and without noise
Author :
Chidananda Murthy M V;M Z Kurian;H S Guruprasad
Author_Institution :
Department of Electronics and Communication, Sri Siddhartha Institute of Technology, India
fYear :
2015
Firstpage :
282
Lastpage :
287
Abstract :
As the picture worth thousands words, it is necessary to restore the degraded images degraded because of blur, motion or noise in applications like satellite imaging, medical imaging, military and survivalance applications. Restorations techniques are either nonblind methods where the point spread function (PSF) is available or blind deconvolution. This paper presents the implementation and comparison of Weiner filter, Constrained Lease Square, Lucy Richerdson and Blind deconvolution methods in the presence of different artifacts. Performance measures like Peak signal to noise ratio (PSNR), Mean square error (MSE) and Correlation index (CI) are used to quantify the performance of the restoration filters. Results and analysis shows that CLS filter is comparatively better in restoring the degraded image.
Keywords :
"Image restoration","Degradation","Wiener filters","Deconvolution","Mathematical model","Filtering algorithms","Cameras"
Publisher :
ieee
Conference_Titel :
Emerging Research in Electronics, Computer Science and Technology (ICERECT), 2015 International Conference on
Type :
conf
DOI :
10.1109/ERECT.2015.7499027
Filename :
7499027
Link To Document :
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