Title :
MAP-MRF approach for image denoising
Author :
Aravind, B.N. ; Suresh, K.V.
Author_Institution :
Dept. of Electron. & Commun. Eng., Kalpataru Inst. of Technol., Tiptur, India
Abstract :
Digital images gets degraded due to several reasons. The aim of denoising involves the restoration of signal to yield visually good quality representation. In this paper, we are referring to an image corrupted by additive Gaussian noise. The image is modeled as MRF and maximum-a-posteriori (MAP) estimate is obtained using graduated non-convexity technique. Results suggest that the proposed technique yields better compared to other techniques.
Keywords :
Gaussian noise; image denoising; image representation; maximum likelihood estimation; MRF; additive Gaussian noise; digital images; graduated nonconvexity technique; image corruption; image denoising; image quality; image representation; maximum-a-posteriori estimate; signal restoration; Filtering; Image restoration; Noise; Noise measurement; Wiener filters; Discontinuity adaptive; MAP estimate; MRF; image denoising;
Conference_Titel :
Contemporary Computing and Informatics (IC3I), 2014 International Conference on
Conference_Location :
Mysore
DOI :
10.1109/IC3I.2014.7019648
