Variational multi-wavelet restoration of noisy images

Ronan Fablet (1) , Jean-Marie Augustin (1)

1 IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer

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.

Domaines: Traitement du signal et de l'image [eess.SP]

Ronan Fablet, Jean-Marie Augustin. Variational multi-wavelet restoration of noisy images. ICIP 2005 : IEEE International Conference on Image Processing, Sep 2005, Genova, Italy. pp.305 - 308, ⟨10.1109/ICIP.2005.1530389⟩. ⟨hal-02344402⟩