A Novel Approach of Image Denoising Based On OWT Using Dual Tree Domain
Volume: 1 - Issue: 06 - Date: 01-06-2012
Approved ISSN: 2278-1412
Published Id: IJAECESTU197 | Page No.: 147-151
Author: Jyoti Asnani
Co- Author: Rajesh Kumar Rai
Abstract:-Image denoising is a common procedure to suppress the quality degradation caused
by noise. Several image denoising methods are proposed in literature. Amongst these Discrete
Wavelet Transform-DWT Filters are very popular. Denoising using the DWT-Transform includes
decomposition of the image into various sub bands and then modeling them as independent
identically distributed random variables with Gaussian distribution. Shrinkage methods are often
used for suppressing Additive White Gaussian Noise (AWGN), where thresholding is used to retain
the larger wavelet coefficients alone. Minimum Mean Square Error estimation is a common
practice for noise analysis and is thus included in this paper. Overall we discuss the denoising
using Orthonormal transform using dual tree domain.
Key Words:-Wavelet transform, Orthonormal transform, SURE, Dual Tree Transform
Area:-Engineering
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