Choice of wavelet smoothness, primary resolution and threshold in wavelet shrinkage
Statistics and Computing
A remote sensing image self-adaptive blind watermarking algorithm based on wavelet transformation
SSIP'07 Proceedings of the 7th WSEAS International Conference on Signal, Speech and Image Processing
An adaptive wavelet-based watermarking using shift-orthogonal finite-length sequences
MUSP'07 Proceedings of the 7th WSEAS International Conference on Multimedia Systems & Signal Processing
Content-based image retrieval using wavelets
CEA'08 Proceedings of the 2nd WSEAS International Conference on Computer Engineering and Applications
Image compression using neural networks and haar wavelet
WSEAS Transactions on Signal Processing
A new denoising system for SONAR images
Journal on Image and Video Processing
Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency
IEEE Transactions on Signal Processing
Multiscale MAP filtering of SAR images
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A New SURE Approach to Image Denoising: Interscale Orthonormal Wavelet Thresholding
IEEE Transactions on Image Processing
Hi-index | 0.00 |
We propose the use of a new implementation of the hyperanalytic wavelet transform, (HWT), in association with a Maximum a Posteriori (MAP) filter named bishrink. The denoising methods based on wavelets are sensitive to the selection of the mother wavelets. Taking into account the drawbacks of the bishrink filter and the sensitivity with the selection of the mother wavelets we propose a denoising method in two stages in a multi-wavelet context. It is based on diversification followed by wavelet fusion. Some simulation examples and comparisons prove the performances of the proposed method.