Image evaluation based on the mean structural similarity for wavefront coding

Tsubasa Fukuda, Shinichi Komatsu

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)


    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 languageEnglish
    Title of host publication22nd Microoptics Conference, MOC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages2
    ISBN (Electronic)9784863486096
    Publication statusPublished - 2018 Jan 2
    Event22nd Microoptics Conference, MOC 2017 - Tokyo, Japan
    Duration: 2017 Nov 192017 Nov 22


    Other22nd Microoptics Conference, MOC 2017

    ASJC Scopus subject areas

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


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