Abstract
Common restoration techniques use a single observed image for the processing. In this work three observed degraded images obtained from camera microscanning are utilized for image restoration. It is assumed that the degraded images contain information about an original image, multiplicative interference, and additive sensor’s noise. Using captured images a set of linear or nonlinear equations and objective function are formed. By solving the system of equations with the help of an iterative algorithm, the original image can be recovered. A fast algorithm for approximated image restoration is proposed. Computer simulations results presented and discussed.
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Vitaly Kober obtained his MS degree in Applied Mathematics from the Air-Space University of Samara (Russia) in 1984, his PhD degree in 1992, and Doctor of Sciences degree in 2004 in Image Processing from the Institute of Information Transmission Problems, Russian Academy of Sciences. Now he is a titular researcher at CICESE, México. His research interests include signal and image processing, pattern recognition.
José Luis López Martínez obtained his Bachelor’s degree in Computer Science in 2002, from the Universidad Autónoma de Yucatán (UADY), México and MS degree in Computer Science in 2008 from Centra de Investigación Científica y de Educación Superior de Ensenada (CICESE), Mexico. He is currently a PhD student at CICESE. His research interests include image processing and pattern recognition.
Iosif A. Ovseyevich graduated from the Moscow Electrotechnical Institute of Telecommunications. Received Candidate’s degree in 1953 and Doctor’s degree in information theory in 1972. At present he is Emeritus Professor at the Institute of Information Transmission Problems of the Russian Academy of Sciences. His research interests include information theory, signal processing, and expert systems. He is a Member of IEEE, Popov Radio Society.
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López-Martínez, J.L., Kober, V. & Ovseyevich, I.A. Image restoration based on camera microscanning. Pattern Recognit. Image Anal. 20, 370–375 (2010). https://doi.org/10.1134/S1054661810030132
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DOI: https://doi.org/10.1134/S1054661810030132