Automatic Detection and Correction of Defective Pixels for Medical and Space Imagers

A novel model for image restoration is discussed where the imagers are digital cameras in space, damaged from cosmic radiation, or ultrasonic medical devices damaged from speckle noise. In previous works we have suggested a simulated annealing algorithm based on Ising theory for the restoration of colored images and videos which were damaged from various kinds of noise. In what follows we will discuss the affinity between statistical physics and image processing and use an adjusted version of our Ising-like algorithm for pixel correction in digital space cameras and noise removal from ultra-sound images. We will present restoration results which are achieved by the combination of known algorithms such as Median and LOCO-I together with Ising-like models. The mean error and PSNR values of the restored images will be shown to exceed the values achieved with similar methods. E. Cohen Department of Exact Sciences, Tel-Aviv University, RamatAviv, Tel-Aviv 69978, Israel Tel.: +972-3-6405234 Fax: +972-3-6407932 E-mail: [email protected] M. Shnitser, T. Avraham, O. Hadar Department of Communication systems Engineering, BenGurion University of the Negev, Beer-Sheva 84105, Israel Tel.: +972-8-6472210 Fax: +972-8-6472883 E-mail: [email protected] Y. Dotan Department of Electrical and Computer Engineering, Ruppin Academic Center, Emek-Heffer 40250, Israel Tel.: +972-9-8981376 Fax: +972-9-8981302 E-mail: [email protected]