Optimized Color Contrast Enhancement for Dichromats Using Local and Global Contrast

Soo Kyeong Kang, Chul Lee, Chang Su Kim

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

1 Citation (Scopus)

Abstract

We propose an optimized color contrast enhancement algorithm for dichromats with color vision deficiency using local and global information. Based on the fact that dichromats perceive colors projected onto a 2D plane, we first measure the color differences on the plane. Then, we formulate an optimization problem to minimize the perceived color differences subject to constraints on the projected plane. Finally, by solving the optimization problem, we obtain the optimal plane and perform color conversion. Simulation results show that the proposed algorithm outperforms the state-of-the-art algorithms in preserving both local details and naturalness of images.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
PublisherIEEE Computer Society
Pages1048-1052
Number of pages5
ISBN (Electronic)9781728163956
DOIs
Publication statusPublished - 2020 Oct
Event2020 IEEE International Conference on Image Processing, ICIP 2020 - Virtual, Abu Dhabi, United Arab Emirates
Duration: 2020 Sep 252020 Sep 28

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2020-October
ISSN (Print)1522-4880

Conference

Conference2020 IEEE International Conference on Image Processing, ICIP 2020
Country/TerritoryUnited Arab Emirates
CityVirtual, Abu Dhabi
Period20/9/2520/9/28

Keywords

  • Color vision deficiency
  • color contrast enhancement
  • dichromats
  • optimization
  • recoloring

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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