DocumentCode :
2554550
Title :
Adaptive Image Denoising by a New Thresholding Function
Author :
Li, Cai-Lian ; Sun, Ji-Xiang ; Kang, Yao-Hong
Author_Institution :
Coll. of Electr. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2010
fDate :
23-25 Sept. 2010
Firstpage :
1
Lastpage :
5
Abstract :
This paper introduces a new thresholding function for image denoising. The function has continuous derivative while the standard hard-thresholding function is not continuous and the derivative of standard soft-thresholding function is not continuous. The new thresholding function are applied to coefficients in contourlet space for adaptive image denoising. Instead of the global hard-thresholding or soft-thresholding algorithm for image denoising, we minimize an estimate of the mean square error based on SURE Risk by using the function. Several numerical experiments show that the proposed new function is very effective and gives better performance both in terms of PSNR and in visual quality. It also gives better MSE performance than other three methods.
Keywords :
image denoising; image segmentation; mean square error methods; SURE risk; adaptive image denoising; continuous derivative; hard-thresholding algorithm; mean square error method; soft-thresholding algorithm; thresholding function; Artificial neural networks; Image denoising; Mean square error methods; Noise reduction; PSNR; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
Type :
conf
DOI :
10.1109/WICOM.2010.5600682
Filename :
5600682
Link To Document :
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