Author:
Hearn Tristan A.,Reichel Lothar
Abstract
AbstractA new algorithm for the removal of additive uncorrelated Gaussian noise from a digital image is presented. The algorithm is based on a data driven methodology for the adaptive thresholding of wavelet coefficients. This methodology is derived from higher order statistics of the residual image, and requires no a priori estimate of the level of noise contamination of an image.
Subject
Applied Mathematics,Computational Mathematics,Control and Optimization,Modeling and Simulation
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