Microscopic image restoration based on tensor factorization of rotated patches

Authors:
Masayuki Kouno;Ken Nakae;Shigeyuki Oba;Shin Ishii
Affiliations:
Graduate School of Informatics, Kyoto University, Uji, Japan 611-0011;Graduate School of Informatics, Kyoto University, Uji, Japan 611-0011;Graduate School of Informatics, Kyoto University, Uji, Japan 611-0011 and PRESTO, Japan Science and Technology Agency, Saitama, Japan;Graduate School of Informatics, Kyoto University, Uji, Japan 611-0011
Venue:
Artificial Life and Robotics
Year:
2013

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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.