DocumentCode :
2976845
Title :
A Multiscale and Multidirectional Image Denoising Algorithm Based on Contourlet Transform
Author :
Li, Bei-bei ; Li, Xin ; Wang, Shu-xun ; Li, Hai-feng
Author_Institution :
Jilin University, China
fYear :
2006
fDate :
Dec. 2006
Firstpage :
635
Lastpage :
638
Abstract :
In this paper, we propose a novel image denoising algorithm in Contourlet domain. The Contourlet transform is adopted by virtual of its advantages over the Wavelet transform in order to obtain a flexible multiresolution, local, and directional image expansion using contour segments, it is good at isolating the smoothness along the contours. We present a weighing factor which submits to the negative exponential distribution, it can combine the hard thresholding function with the soft thresholding, the new thresholding function is continuous[4]. We adapt different thresholdings on different scales and different directions to get better denoising results. Experimental results demonstrate that the proposed algorithm improves the SNR on a certain extent.
Keywords :
Educational institutions; Fourier transforms; Image denoising; Image resolution; Image segmentation; Noise reduction; Signal processing; Signal resolution; Wavelet transforms; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2006. IIH-MSP '06. International Conference on
Conference_Location :
Pasadena, CA, USA
Print_ISBN :
0-7695-2745-0
Type :
conf
DOI :
10.1109/IIH-MSP.2006.265082
Filename :
4041802
Link To Document :
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