Image Denoising Based on SURE Using OWT
Volume: 1 - Issue: 02 - Date: 01-02-2012
Approved ISSN: 2278-1412
Published Id: IJAECESTU188 | Page No.: 56-61
Author: Pradeep Kumar Yadav
Co- Author: Omesh Hada,Rajesh Kumar Rai
Abstract:-An overview of orthonormal wavelet image denoising is discussed here. Instead of
postulating a stastical model for the wavelet coefficients, denoising process is directly parameterized
as a sum of elementary nonlinear process with unknown weights. Them an estimate the mean square
error between original image and denoising image is minimized. A statically unbiased MSE estimate
stein’s unbiased risk estimates (SURE) that depends on the noisy image alone is considered. This
estimate is quadratic in unknown weights and its minimization amounts to solving a linear system of
equations. The existence of this a priori estimate makes it unnecessary to device a specific statistical
model for the wavelet coefficient. This estimate turns out to be more accurate as more data available
which is the cost of images. Here an interscale orthonormal wavelet thresholding algorithm based on
the new SURE approach is implemented. Test result shown improved PSNR compared to existing
state of art procedures.
Key Words:-OWT, DWT, Thresholding, PSNR, SURE
Area:-Engineering
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