Lossless contrast enhancement of color images with reversible data hiding

Hao Tian Wu*, Yue Wu, Zhihao Guan, Yiu Ming CHEUNG

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Recently, lossless contrast enhancement (CE) has been proposed so that a contrast-changed image can be converted to its original version by maintaining information entropy in it. As most of the lossless CE methods are proposed for grayscale images, artifacts are probably introduced after directly applying them to color images. For instance, color distortions may be caused after CE is separately conducted in each channel of the RGB (red, green, and blue) model. To cope with this issue, a new scheme is proposed based on the HSV (hue, saturation, and value) color model. Specifically, both hue and saturation components are kept unchanged while only the value component is modified. More precisely, the ratios between the RGB components are maintained while a reversible data hiding method is applied to the value component to achieve CE effects. The experimental results clearly show CE effects obtained with the proposed scheme, while the original color images can be perfectly recovered. Several metrics including image entropy were adopted to measure the changes made in CE procedure, while the performances were compared with those of one existing scheme. The evaluation results demonstrate that better image quality and increased information entropy can be simultaneously achieved with our proposed scheme.

Original languageEnglish
Article number910
JournalEntropy
Volume21
Issue number9
DOIs
Publication statusPublished - 1 Sep 2019

Scopus Subject Areas

  • Physics and Astronomy(all)

User-Defined Keywords

  • Color difference
  • Contrast enhancement
  • Entropy
  • HSV color model
  • Reversible data hiding

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