The main goal of this paper is the development and simulation of conditioning methods: denoising and inpainting for ultrasound images. Ultrasound images acquisition is inherently affected by two impairments: the presence of a multiplicative noise called speckle which requires the use of denoising algorithms and the existence of missing pixels which can be solved by inpainting algorithms. In this paper, the performance of conditioning systems built by associating five different spatial filters, Lee, Kuan, Frost, Median, and Wiener, representing denoising methods, with an exemplar based inpainting algorithm are evaluated.

Keywords: Inpainting, SONAR imaging, Spatial filters, Speckle