DocumentCode :
228590
Title :
A novel wavelet based denoising algorithm using level dependent thresholding
Author :
Gopi, Varun P. ; Pavithran, M. ; Nishanth, T. ; Balaji, S. ; Rajavelu, V. ; Palanisamy, P.
Author_Institution :
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Tiruchirappalli, India
fYear :
2014
fDate :
13-14 Feb. 2014
Firstpage :
1
Lastpage :
6
Abstract :
Wavelet domain denoising is based on the sparsity property of the Discrete Wavelet Transform (DWT) due to which information is contained in a few coefficients of high magnitude while noise is represented by a large number of small coefficients. The critically sampled DWT suffers from the drawbacks of being shift-variant and lacking the capacity to process directional information in images. Therefore the undecimated double density dual tree DWT (UDDDT-DWT) is used as it is highly directional and shift invariant. As the level of decomposition increases the number coefficients pertaining to signal increases and it is required that the number of coefficients retained be increased accordingly. The Birge Massart strategy is used therefore to compute the level dependent threshold which is applied using soft thresholding. Experimental results over a range of noise variances indicate that the proposed method performs better than other state of the art methods considered.
Keywords :
discrete wavelet transforms; image denoising; Birge Massart strategy; discrete wavelet transform; level dependent thresholding; soft thresholding; sparsity property; undecimated double density dual tree DWT; wavelet based denoising algorithm; Discrete wavelet transforms; Noise measurement; Noise reduction; PSNR; Birge Massart strategy; Undecimated double density dual tree wavelet transform; image denoising; level dependent thresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Communication Systems (ICECS), 2014 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2321-2
Type :
conf
DOI :
10.1109/ECS.2014.6892687
Filename :
6892687
Link To Document :
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