@inproceedings{f1a7ef2bfc0a4897a68a7587f31cc7f2,
title = "Correction of defective pixels for medical and space imagers based on ising theory",
abstract = "We propose novel models for image restoration based on statistical physics. We investigate the affinity between these fields and describe a framework from which interesting denoising algorithms can be derived: Ising-like models and simulated annealing techniques. When combined with known predictors such as Median and LOCO-I, these models become even more effective. In order to further examine the proposed models we apply them to two important problems: (i) Digital Cameras in space damaged from cosmic radiation. (ii) Ultrasonic medical devices damaged from speckle noise. The results, as well as benchmark and comparisons, suggest in most of the cases a significant gain in PSNR and SSIM in comparison to other filters.",
keywords = "Hot pixels, Image restoration, Ising model, Medical imagers, Simulated annealing, Space imagers, Speckle noise, Statistical physics",
author = "Eliahu Cohen and Moriel Shnitser and Tsvika Avraham and Ofer Hadar",
note = "Publisher Copyright: {\textcopyright} 2014 SPIE.; Applications of Digital Image Processing XXXVII ; Conference date: 18-08-2014 Through 21-08-2014",
year = "2014",
month = jan,
day = "1",
doi = "10.1117/12.2061278",
language = "الإنجليزيّة",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Tescher, \{Andrew G.\}",
booktitle = "Applications of Digital Image Processing XXXVII",
address = "الولايات المتّحدة",
}