Color image enhancement with high saturation using piecewise linear gamut mapping

Junhee Park, Byung Uk Lee

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Most of the color image enhancement algorithms are implemented in two stages: gray scale image enhancement, which finds the target intensity, and then gamut mapping of the original color coordinates to the target. Therefore, hue preserving gamut mapping is an essential and crucial step, which influences colorfulness. In conventional color mapping methods, color saturation is reduced after intensity modification, which deteriorates subjective image quality. In this paper, a new color enhancement algorithm resulting in high color saturation is proposed. The proposed method employs multiplicative and additive color mapping to improve color saturation without clipping of a color component for increased target intensity as well as decreased cases. This new scheme is fast and effective, therefore, it can be employed to real time applications such as video signal processing.

Original languageEnglish
Article number102759
JournalJournal of Visual Communication and Image Representation
StatePublished - Feb 2020

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education ( 2019R1I1A1A01040652 ) and JP and BUL thank HT, Inc. for evaluation of the proposed algorithm.

Publisher Copyright:
© 2020 Elsevier Inc.


  • Color enhancement
  • Color saturation
  • Gamut mapping
  • Hue preservation


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