23 September 2014 Correction of defective pixels for medical and space imagers based on Ising Theory
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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.
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Eliahu Cohen, Eliahu Cohen, Moriel Shnitser, Moriel Shnitser, Tsvika Avraham, Tsvika Avraham, Ofer Hadar, Ofer Hadar, } "Correction of defective pixels for medical and space imagers based on Ising Theory", Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 921713 (23 September 2014); doi: 10.1117/12.2061278; https://doi.org/10.1117/12.2061278
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