In this paper, a new method of image blind denoising is proposed based on symmetric-antisymmetric orthonormal multiwavelet and multilevel threshold. In this method, noise deviation of noised image is estimated firstly; then noised image is decomposed by Sa4 multiwavelet; thirdly according to coefficients energy distribution and estimated noise deviation, the coefficients of different scale are dealed with different threshold; finally image is reconstructed by using the inverse multiwavelet transform. Experimental results prove that this method can get rid of image noise effectively and preserve image details well.
An Approach to Image Blind Denoising Based on Symmetric-Antisymmetric Orthonormal Multiwavelet and Multilevel Threshold
2008 Congress on Image and Signal Processing ; 3 ; 279-283
01.05.2008
475693 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A New Multiwavelet-Based Approach to Image Fusion
British Library Online Contents | 2004
|Multiwavelet Based Histogram for Texture Image Retrieval
British Library Online Contents | 2005
|Balanced multiwavelet bases based on symmetric FIR filters (Invited Paper) [3813-11]
British Library Conference Proceedings | 1999
|Generalized symmetric periodic extension for multiwavelet filter banks [3813-19]
British Library Conference Proceedings | 1999
|Research on Image Denoising Based on Wavelet Threshold
TIBKAT | 2021
|