Open Access Open Access  Restricted Access Subscription or Fee Access

Adaptive Selectivity Frame for Image Denoising

M. El Aallaoui, A. El Bouhtouri, A. Ayadi

Abstract


Two-dimensional wavelet analysis and directional frames are efficient in the analysis and the decomposition of oriented features in images. However, since wavelets share the same angular selectivity, isotropic, directional and less-oriented features are processed under the same framework with the same number of coefficients.
We propose here a solution to solve this issue. We develop an adaptive representation for all image elements, ranging from highly directional ones to fully isotropic ones, by decomposing them into a frame of directional wavelets with variable angular selectivity.
In the particular context of denoising of images plagued by white noise, after usual thresholding of the wavelet coefficients, our adaptive representation compares favorably to wavelet-based, curvelets and fixed selectivity reconstructions.

Full Text: PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.