Presentation 2015-03-19
PSF Estimation in Single Blurred Image Based On Power Cepstrum Analysis
Yuta SHIMAMOTO, Hikaru MATSUMOTO, Haiyuan WU, Xiang RUAN,
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Abstract(in English) In this paper, we propose a Uniform Non-linear Motion (UNLM) Point Spread Function (PSF) estimation algorithm based on power cepstrum analysis. We give theoretical reasoning, which was not clearly interpreted so far, on how conventional Uniform Linear Motion (ULM) PSF algorithm can be extended to UNLM PSF estimation. We show the effectiveness of the proposed algorithm by simulations and accuracy improvement to related work with quantitative result in experiments.
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Keyword(in English) pawer cepstrum / motion blur / point spread function / image restoration
Paper # BioX2014-44,PRMU2014-164
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Committee PRMU
Conference Date 2015/3/12(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) PSF Estimation in Single Blurred Image Based On Power Cepstrum Analysis
Sub Title (in English)
Keyword(1) pawer cepstrum
Keyword(2) motion blur
Keyword(3) point spread function
Keyword(4) image restoration
1st Author's Name Yuta SHIMAMOTO
1st Author's Affiliation Faculty of Systems Engineering, Wakayama University()
2nd Author's Name Hikaru MATSUMOTO
2nd Author's Affiliation Faculty of Systems Engineering, Wakayama University
3rd Author's Name Haiyuan WU
3rd Author's Affiliation Faculty of Systems Engineering, Wakayama University
4th Author's Name Xiang RUAN
4th Author's Affiliation Omron Corporation
Date 2015-03-19
Paper # BioX2014-44,PRMU2014-164
Volume (vol) vol.114
Number (no) 521
Page pp.pp.-
#Pages 6
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