Cepstral analysis based blind deconvolution for motion blur

Haruka Asai, Yuji Oyamada, Julien Pilet, Hideo Saito

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2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
ページ1153-1156
ページ数4
DOI
出版ステータスPublished - 2010 12 1
イベント2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
継続期間: 2010 9 262010 9 29

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
ISSN(印刷版)1522-4880

Other

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

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

フィンガープリント 「Cepstral analysis based blind deconvolution for motion blur」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル