DocumentCode :
673217
Title :
A novel approach to image denoising using Diversity Enhanced Wavelet Transforms
Author :
Reddy, Dugasani Sreekantha ; Varadarajan, Srenivas ; Giriprasad, M.N. ; Sadasiva, M.
Author_Institution :
Electron. & Commun. Eng, JNTUA, Anantapur, India
fYear :
2013
fDate :
21-22 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
Image denoising is one of the most fundamental components of image processing. Almost all scientific data sets collected by the image sensors are generally contaminated by noise. It is contaminated either because of the data acquisition process, or because of naturally occurring phenomena. In this paper, we propose a novel approach to image denoising using Diversity Enhanced Wavelet Transforms (DE-WTs) in association with Bishrink filtering technique. Some of the simulation results obtained using the proposed method, and comparisons prove better performance than the classical Discrete Wavelet Transform(DWT) based image denoising with various mother wavelets from Daubechies family.
Keywords :
discrete wavelet transforms; filtering theory; image denoising; Bishrink filtering technique; DE-WT; DWT; Daubechies family; data acquisition process; discrete wavelet transform; diversity enhanced wavelet transforms; image denoising; image processing; mother wavelets; naturally occurring phenomena; Discrete wavelet transforms; Educational institutions; Filtering theory; Image denoising; Noise reduction; Bishrink Filter; Discrete Wavelet Transform (DWT); Diversity Enhanced DWT (DEDWT); Diversity Enhanced HWT (DEHWT); Hyperanalytic Wavelet Transform (HWT); Image Denoisng;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing Technologies (ICACT), 2013 15th International Conference on
Conference_Location :
Rajampet
Print_ISBN :
978-1-4673-2816-6
Type :
conf
DOI :
10.1109/ICACT.2013.6710512
Filename :
6710512
Link To Document :
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