Image evaluation based on the mean structural similarity for wavefront coding

Tsubasa Fukuda; Shinichi Komatsu

doi:10.23919/MOC.2017.8244535

Image evaluation based on the mean structural similarity for wavefront coding

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We would like a numerical value that indicates the extent to which restoration is achieved compared with the original image in wavefront coding. Using the mean structural similarity (MSSIM) as the image evaluation value, we evaluated restored images and compared phase masks. In this study, we confirmed that it is desirable to optimize the coefficients of the phase mask so that the MSSIM is highest to obtain high-quality restored images.

Original language	English
Title of host publication	22nd Microoptics Conference, MOC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	156-157
Number of pages	2
Volume	2017-November
ISBN (Electronic)	9784863486096
DOIs	https://doi.org/10.23919/MOC.2017.8244535
Publication status	Published - 2018 Jan 2
Event	22nd Microoptics Conference, MOC 2017 - Tokyo, Japan Duration: 2017 Nov 19 → 2017 Nov 22

Other

Other	22nd Microoptics Conference, MOC 2017
Country	Japan
City	Tokyo
Period	17/11/19 → 17/11/22

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ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Electronic, Optical and Magnetic Materials

Cite this

Fukuda, T., & Komatsu, S. (2018). Image evaluation based on the mean structural similarity for wavefront coding. In 22nd Microoptics Conference, MOC 2017 (Vol. 2017-November, pp. 156-157). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/MOC.2017.8244535

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Access to Document

10.23919/MOC.2017.8244535