Article contents
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.
MSC classification
- 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
References
![](https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20151117045807064-0042:S1004897915000203_inline1.gif?pub-status=live)
![](https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20151117045807064-0042:S1004897915000203_inline1.gif?pub-status=live)
- 6
- Cited by