Blind restoration of single-channel image using iterative PCA

Ryotaro Nakamura, Yasue Mitsukura, Nozomu Hamada

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

This paper proposes a single-channel image blind restoration by using iterative principal components analysis (PCA). Previously we proposed the iterative PCA approaches for blind restoration and proved its superiority over conventional methods. Still, there are some problems to be solved. One of them is precise and automatic way to determine the iteration number. This study tries to solve this by applying a blind image quality assessment for automatic optimization of the iterative number. For a verification example of atmospheric turbulence-degraded imagery our proposed method provides better improved restoration quality than conventional methods. In addition, experiments of simulations are conducted for real images. From the results, we can confirm that the proposed method gives higher PSNR as well as SSIM than the conventional methods even in real environments.

本文言語English
ホスト出版物のタイトルProceedings - 2013 IEEE Conference on Systems, Process and Control, ICSPC 2013
出版社IEEE Computer Society
ページ84-87
ページ数4
ISBN(印刷版)9781479922093
DOI
出版ステータスPublished - 2013 1月 1
イベント2013 IEEE Conference on Systems, Process and Control, ICSPC 2013 - Kuala Lumpur, Malaysia
継続期間: 2013 12月 132013 12月 15

出版物シリーズ

名前Proceedings - 2013 IEEE Conference on Systems, Process and Control, ICSPC 2013

Other

Other2013 IEEE Conference on Systems, Process and Control, ICSPC 2013
国/地域Malaysia
CityKuala Lumpur
Period13/12/1313/12/15

ASJC Scopus subject areas

  • 制御およびシステム工学

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