Adaptive height-modified histogram equalization and chroma correction in YCbCr color space for fast backlight image compensation

Bonghyup Kang, Changwon Jeon, David K. Han, Hanseok Ko

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Automatic exposure controls in commercially available cameras often encounter difficulties in capturing scenes with backlight luminance which dominates the entire image. An Adaptive Height-Modified Histogram Equalization (AHMHE) algorithm is proposed as a compensation technique for backlight images. It simultaneously enhances contrast in both the dark and the bright areas without creating regions of degraded local contrast. Moreover AHMHE is an adaptive algorithm: thus it requires minimal user input, and its reduced computational requirement makes it suitable for real-time application. In addition to AHMHE, a chroma correction technique was applied to chroma components in the YCbCr color space to produce more vivid color images. A series of subjective and index evaluations were conducted to measure the resultant image quality improvements by the AHMHE and the chroma correction algorithms.

Original languageEnglish
Pages (from-to)557-568
Number of pages12
JournalImage and Vision Computing
Volume29
Issue number8
DOIs
Publication statusPublished - 2011 Jul

Keywords

  • Backlight compensation
  • Contrast enhancement
  • Histogram equalization
  • Image enhancement
  • Saturation

ASJC Scopus subject areas

  • Signal Processing
  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Adaptive height-modified histogram equalization and chroma correction in YCbCr color space for fast backlight image compensation'. Together they form a unique fingerprint.

Cite this