Simultaneous image restoration and distance estimation of an object from a strongly defocused photon image

Shinya Ono*, Shinichi Komatsu

*この研究の対応する著者

    研究成果: Article査読

    3 被引用数 (Scopus)

    抄録

    We apply the filter bank method, which extracts from a strongly defocused image the information on the amount of defocus, i.e., the information on the object distance, and simultaneously restores the object, to a defocused image of extremely low intensity, which is detectable only with a photon counting camera. Experimental results show that the information of the defocus amount can be extracted from such a blurred photon image, and the original object itself is simultaneously restored. The influence of the photon noise on the distance estimation is also quantitatively investigated. Then, the maximum likelihood-expectation maximization (ML-EM) method is adopted for image restoration, and the results are compared with those obtained by applying the conventional Wiener filter, It is experimentally shown that the ML-EM produces better image restoration than the Wiener filter in the extremely low intensity region where the maximal number of photons per pixel does not exceed about 450.

    本文言語English
    ページ(範囲)1024-1028
    ページ数5
    ジャーナルOptical Engineering
    42
    4
    DOI
    出版ステータスPublished - 2003 4月

    ASJC Scopus subject areas

    • 原子分子物理学および光学

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