This paper presents a new technique for noise removal in images. It benefits both from the recent advances in wavelet-based and variational denoising. Whereas wavelet-based analysis tends to strongly depend on the selected wavelet basis, we propose to combine and fuse several mono-wavelet analysis within a variational framework. The associated energy function involves M-estimator in order to guarantee the robustness to outliers and to preserve image structures (edges, ridges, etc.). An experimental evaluation for a Gaussian additive noise validates the proposed approach and an application to speckle removal in sonar sea-bed images highlights the interest of this approach for real images.
Variational multi-wavelet restoration of noisy images
IEEE International Conference on Image Processing 2005 ; 3 ; III-305
2005-01-01
293321 byte
Conference paper
Electronic Resource
English
Variational Multi-Wavelet Restoration of Noisy Images
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