The application of Markov random field models to wavelet-based image denoising
Imaging and vision systems
Multilevel threshold based image denoising in curvelet domain
Journal of Computer Science and Technology
| Hi-index | 35.68 |
A data adaptive scheme for wavelet shrinkage-based noise removal is developed. The method involves a statistical test of hypotheses that takes into account the wavelet coefficients' magnitudes and relative positions. The amount of smoothing performed during noise removal is controlled by the user-supplied confidence level of the tests