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Microscopic image restoration based on tensor factorization of rotated patches
Authors:Masayuki Kouno  Ken Nakae  Shigeyuki Oba  Shin Ishii
Affiliation:1. Graduate School of Informatics, Kyoto University, Gokasho, Uji, Kyoto, 611-0011, Japan
2. PRESTO, Japan Science and Technology Agency, Saitama, Japan
Abstract:In microscopic image processing for analyzing biological objects, structural characters of objects such as symmetry and orientation can be used as a prior knowledge to improve the results. In this study, we incorporated filamentous local structures of neurons into a statistical model of image patches and then devised an image processing method based on tensor factorization with image patch rotation. Tensor factorization enabled us to incorporate correlation structure between neighboring pixels, and patch rotation helped us obtain image bases that well reproduce filamentous structures of neurons. We applied the proposed model to a microscopic image and found significant improvement in image restoration performance over existing methods, even with smaller number of bases.
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