DocumentCode :
3528458
Title :
Review on Image Denoising Based on Contourlet Domain Using Adaptive Window Algorithm
Author :
Bhongade, S. ; Kourav, Deepak ; Rai, Rajeev Kumar ; Sontakke, T.R.
Author_Institution :
Dept. of Electr. Eng., SGSITS, Indore, India
fYear :
2013
fDate :
21-23 Dec. 2013
Firstpage :
412
Lastpage :
415
Abstract :
This paper based on the characteristic of contour let transform for image denoising, paper presents adaptive window algorithm which uses directional information from the contour let transform and structure information of image for image denoising. In this method each sub band of the contour let is first fixed by autocorrelation function of contour let and then adaptive filtering is used to denoise the noisy image. Experiments will show that the proposed algorithm achieves better SNR value than current Contour let based image denoising algorithms.
Keywords :
adaptive filters; image denoising; transforms; SNR; adaptive filtering; adaptive window algorithm; autocorrelation function; contourlet domain; contourlet transform; directional information; image denoising algorithm; structure information; Filtering; Hidden Markov models; Image denoising; Noise; Signal processing algorithms; Wavelet transforms; Adaptive Filtering; Directional information; SNR; Subband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Intelligence and Research Advancement (ICMIRA), 2013 International Conference on
Conference_Location :
Katra
Type :
conf
DOI :
10.1109/ICMIRA.2013.87
Filename :
6918864
Link To Document :
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