A new denoising system for SONAR images
Résumé
The SONAR images are perturbed by speckle noise. The use of speckle reduction filters is necessary to optimize the image exploitation procedures. This paper presents a new denoising method in the wavelet domain, which tends to reduce the peckle, preserving the structural features and textural information of the scene. Shift-invariance associated with good directional selectivity is important for the use of a wavelet transform, (WT), in many fields of image processing. generally, complex wavelet transforms, e.g. the Double Tree Complex Wavelet Transform, (DT-CWT), have these useful properties. In this paper we propose the utilization of the DT-CWT in association with Maximum A Posteriori (MAP) filters. Such systems carry out different quality denoising in regions with different homogeneity degree. The solution proposed for the reduction of this unwanted effect is based on diversity enhancement. The corresponding denoising algorithm is simple and fast. Some simulation results prove the performance obtained.