Ambient-light-adaptive image quality enhancement for full-color e-paper displays using a saturation-based tone-mapping method

Zong Qin*, Yi Wen Chen, Fang Cheng Lin, Chi Mao Hung, Han Ping David Shieh, Yi-Pai Huang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Full-color e-paper displays that have a small color gamut encounter image tone distortions and contour artifacts in high-saturation regions. To solve these issues, in this paper, we comprehensively measure the colorimetric responses of input image signals and demonstrate that the perceptual colorfulness in terms of chroma abnormally declines when the input saturation is beyond a certain value. Accordingly, saturation-based tone-mapping curves are developed to map the abnormal high saturation to the range that the display is able to normally render. By testing several test charts and natural images, the recoveries of the original image tones and the removals of the contour artifacts are experimentally verified. More important, by discussing how to conduct a database of tone-mapping curves for different ambient lights and utilize the database for an unknown ambient light, the proposed method is proven to be completely ambient light adaptive.

Original languageEnglish
Pages (from-to)153-163
Number of pages11
JournalJournal of the Society for Information Display
Volume26
Issue number3
DOIs
StatePublished - 1 Mar 2018

Keywords

  • e-paper
  • electrophoretic display
  • full color
  • high dynamic range (HDR)
  • image quality
  • tone mapping

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