Iterative PCA approach for blind restoration of single blurred image

Ryotaro Nakamura, Yasue Mitsukura, Nozomu Hamada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems
Pages543-546
Number of pages4
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013 - Naha, Okinawa, Japan
Duration: 2013 Nov 122013 Nov 15

Publication series

NameISPACS 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
CountryJapan
CityNaha, Okinawa
Period13/11/1213/11/15

Keywords

  • Atmospheric turbulence
  • principal components analysis(PCA)
  • shift-invariant
  • single-channel blind image deconvolution

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

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  • Cite this

    Nakamura, R., Mitsukura, Y., & Hamada, N. (2013). Iterative PCA approach for blind restoration of single blurred image. In ISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems (pp. 543-546). [6704610] (ISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems). https://doi.org/10.1109/ISPACS.2013.6704610