Reversible colour appearance scales for describing saturation, vividness, blackness, and whiteness for image enhancement

Yoon Ji Cho, Guihua Cui, Kwanghoon Sohn

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

1 Citation (Scopus)

Abstract

New reversible saturation, vividness, blackness and whiteness models were developed based on a visual data. The aim of this study is to develop a model that can be applicable to imaging devices and to enhance the images by controlling one of the scales. It was found that the models gave good predictions with the NCS (Natural Colour System) data. The newly developed models are applicable to colour image evaluation and image enhancement.

Original languageEnglish
Title of host publicationCIC 2018 - 26th Color and Imaging Conference
Subtitle of host publicationColor Science and Engineering Systems, Technologies, and Applications, Technical Papers and Proceedings
PublisherSociety for Imaging Science and Technology
Pages91-95
Number of pages5
ISBN (Electronic)9780892083374
Publication statusPublished - 2018
Event26th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2018 - Vancouver, Canada
Duration: 2018 Nov 122018 Nov 16

Publication series

NameFinal Program and Proceedings - IS and T/SID Color Imaging Conference
Volume2018-November
ISSN (Print)2166-9635
ISSN (Electronic)2169-2629

Other

Other26th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2018
Country/TerritoryCanada
CityVancouver
Period18/11/1218/11/16

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (NRF-2016R1A2A2A05921659).

Publisher Copyright:
© 2018, Society for Imaging Science and Technology.

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

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