Iterative PCA approach for blind restoration of single blurred image

Ryotaro Nakamura, Yasue Mitsukura, Nozomu Hamada

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

This paper proposes a single-channel image blind restoration using iterative principal components analysis (PCA) to improve the quality of restoration. Previously proposed PCA approaches for blind restoration have a lot of problems. For example, the process of boosting high-frequency components would be improvable, no numerical evaluation has been performed, and etc Generating an ensemble by means of Gaussian filter application, discussed in this paper, could improve to extract the high frequency components which had been lost. Furthermore, iterative PCA boosts the high frequency components. Our proposed method is applied to a restoration example of atmospheric turbulence-degraded imagery, and we verified to improve restoration quality in comparisons with conventional methods. For demonstrating comparative experiments, simulations have been conducted. From the results, we can confirm that the proposed method gives higher PSNR as well as SSIM than the conventional methods.

本文言語English
ホスト出版物のタイトルISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems
ページ543-546
ページ数4
DOI
出版ステータスPublished - 2013 12 1
イベント2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013 - Naha, Okinawa, Japan
継続期間: 2013 11 122013 11 15

出版物シリーズ

名前ISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems

Other

Other2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013
国/地域Japan
CityNaha, Okinawa
Period13/11/1213/11/15

ASJC Scopus subject areas

  • 人工知能
  • 信号処理

フィンガープリント

「Iterative PCA approach for blind restoration of single blurred image」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