Title: BayWave: BAYesian WAVElet-based image estimation

Authors: Amit Pande, Sparsh Mittal

Addresses: Electrical and Computer Engineering, Iowa State University, 2215 Coover Hall, Ames, IA, USA. ' Electrical and Computer Engineering, Iowa State University, 2215 Coover Hall, Ames, IA, USA

Abstract: Image denoising is an important step in image compression and other image processing algorithms. Hard and soft thresholding algorithms are often used to denoise the images. Recently wavelet transform has been used as a tool to denoise the images. However, there are problems associated with the thresholding algorithms. There is no subjective way to determine the threshold. In this work, we implement a simple Bayesian theory to obtain optimal threshold for such algorithms. MATLAB simulations were performed to validate the working of Bayesian thresholding method.

Keywords: DWT; discrete wavelet transform; image denoising; image estimation; Bayesian threshold; image compression; image processing.

DOI: 10.1504/IJSISE.2009.033756

International Journal of Signal and Imaging Systems Engineering, 2009 Vol.2 No.4, pp.155 - 162

Received: 29 May 2009
Accepted: 05 Feb 2010
Published online: 30 Jun 2010 *

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