Sparse representation approach to inverse halftoning by means of K-SVD dictionary

Masahiro Hirao, Toshiaki Aida

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

1 Citation (Scopus)

Abstract

We approach to the problem of inverse halftoning within the frameworks of Bayesian inference and compressed sensing, which is one of the most effective signal processing methods through sparse representation.

Original languageEnglish
Title of host publicationICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages661-665
Number of pages5
ISBN (Print)9788993215090
DOIs
Publication statusPublished - Dec 23 2015
Event15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of
Duration: Oct 13 2015Oct 16 2015

Other

Other15th International Conference on Control, Automation and Systems, ICCAS 2015
Country/TerritoryKorea, Republic of
CityBusan
Period10/13/1510/16/15

Keywords

  • Bayesian inference
  • compressed sensing
  • DCT
  • inverse halftoning
  • K-SVD

ASJC Scopus subject areas

  • Control and Systems Engineering

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