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Coded Pattern Optimization: Image Model-based Theoretical Analysis

  • Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Coded exposure photography (CEP) modulates a point spread function (PSF) causing motion blur to enhance the motion deblurring performance. The performance of motion deblurring using CEP depends on the coded pattern which modulates the PSF, thus, the optimality of the coded pattern is the key to successful deblurring. Since the intensity of the captured image has a non-linear relation with the irradiance of the scene, the CEP without considering the non-linear relationship in deblurring is very likely to have poor deblurring results. In this paper, we investigate how to optimize the pattern by considering the nonlinear characteristics of image capturing.

Original languageEnglish
Title of host publication2022 International Conference on Electronics, Information, and Communication, ICEIC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665409346
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 International Conference on Electronics, Information, and Communication, ICEIC 2022 - Jeju, Korea, Republic of
Duration: 6 Feb 20229 Feb 2022

Publication series

Name2022 International Conference on Electronics, Information, and Communication, ICEIC 2022

Conference

Conference2022 International Conference on Electronics, Information, and Communication, ICEIC 2022
Country/TerritoryKorea, Republic of
CityJeju
Period6/02/229/02/22

Keywords

  • coded exposure photography
  • coded pattern
  • computational photography
  • motion deblurring

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