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Image Denoising via Residual Kurtosis Minimization
Published online by Cambridge University Press: 05 August 2015
Abstract
A 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.
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- Type
- Research Article
- Information
- Numerical Mathematics: Theory, Methods and Applications , Volume 8 , Issue 3 , August 2015 , pp. 406 - 424
- Copyright
- Copyright © Global-Science Press 2015
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