A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image denoising with neighbour dependency and customized wavelet and threshold
Pattern Recognition
Data compression and harmonic analysis
IEEE Transactions on Information Theory
Wavelet-based image denoising using a Markov random field a priori model
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
We introduce a novel method for restoring noisy images that requires no noisy model. The proposed method is inspired by a wavelet-based switching smoothness description of Holder function spaces. Specifically, we lower the smoothness of the blurred image locally or globally to obtain an enhanced image. Despite the simplicity of our method, significant improvement is reported in the experiment results in terms of image fidelity measure and visual effect.