A Probabilistic Approach to the Coupled Reconstruction and Restoration of Underwater Acoustic Images

—This paper describes a probabilistic technique for the coupled reconstruction and restoration of underwater acoustic images. The technique is founded on the physics of the image-formation process. Beamforming, a method widely applied in acoustic imaging, is used to build a range image from backscattered echoes, associated point by point with another type of information representing the reliability (or confidence) of such an image. Unfortunately, this kind of images is plagued by problems due to the nature of the signal and to the related sensing system. In the proposed algorithm, the range and confidence images are modeled as Markov random fields whose associated probability distributions are specified by a single energy function. This function has been designed to fully embed the physics of the acoustic image-formation process by modeling a priori knowledge of the acoustic system, the considered scene, and the noise-affecting measures and also by integrating reliability information...

• Type: Journal
• Year: 1998
• Where: PAMI
• Authors: Vittorio Murino, Andrea Trucco, Carlo S. Regazzoni
• Keywords: Image-formation Process, Images, PAMI 1998, Range Image