Cepstral analysis based blind deconvolution for motion blur

Haruka Asai*, Yuji Oyamada, Julien Pilet, Hideo Saito

*この研究の対応する著者

    研究成果: Conference contribution

    13 被引用数 (Scopus)

    抄録

    Camera shake during exposure blurs the captured image. Despite several decades of studies, image deconvolution to restore a blurred image still remains an issue, particularly in blind deconvolution cases in which the actual shape of the blur is unknown. Approaches based on cepstral analysis succeeded in restoring images degraded by a uniform blur caused by a camera moving straight in a single direction. In this paper, we propose to estimate, from a single blurred image, the point spread function (PSF) caused by a normal camera undergoing a 2D curved motion, and to restore the image. To extend the traditional cepstral analysis, we derive assumptions about the PSF effects in the cepstrum domain. In a first phase, we estimate several PSF candidates from the cepstrum of a blurred image and restore the image with a fast deconvolution algorithm. In a second phase, we select the best PSF candidate by evaluating the restored images. Finally, a slower but more accurate deconvolution algorithm recovers the latent image with the chosen PSF. We validate the proposed method with synthetic and real experiments.

    本文言語English
    ホスト出版物のタイトルProceedings - International Conference on Image Processing, ICIP
    ページ1153-1156
    ページ数4
    DOI
    出版ステータスPublished - 2010
    イベント2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong
    継続期間: 2010 9 262010 9 29

    Other

    Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
    CityHong Kong
    Period10/9/2610/9/29

    ASJC Scopus subject areas

    • ソフトウェア
    • コンピュータ ビジョンおよびパターン認識
    • 信号処理

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