Dynamic masking of truncated image segments for blind recovery of blurred images based on simulated annealing

Nobuhito Ishihara*, Shinichi Komatsu

*この研究の対応する著者

    研究成果: Article査読

    4 被引用数 (Scopus)

    抄録

    We propose a new method of blind deconvolution (BD) suitable for the recovery of truncated blurred images. In practical cases we often encounter truncated images, but they are difficult to treat properly with conventional BD algorithms, since nontruncated blurred images are assumed. The proposed method is based on simulated annealing (SA), to which we introduce an adaptive masking process. After a truncated segment is cut out from the blurred image, the sharp edges surrounding the segment are removed by multiplying the initial window, whose shape is determined with the initial estimate of the point spread function (PSF). A more appropriate estimate for the PSF is obtained from the masked segment based on the SA algorithm, and according to the new estimate of the PSF, the shape of the window is varied. These procedures are iterated until we finally obtain the best possible estimate of the PSF. In the last step, the entire blurred image is deconvolved with the final estimate of the PSF to obtain the recovered image. The effectiveness of the proposed method is confirmed by computer simulation.

    本文言語English
    ページ(範囲)1177-1182
    ページ数6
    ジャーナルOptical Engineering
    43
    5
    DOI
    出版ステータスPublished - 2004 5月

    ASJC Scopus subject areas

    • 原子分子物理学および光学

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