A new human perception-based over-exposure detection method for color images

Yeo Jin Yoon, Keun Yung Byun, Dae Hong Lee, Seung Won Jung, Sung Jea Ko

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


To correct an over-exposure within an image, the over-exposed region (OER) must first be detected. Detecting the OER accurately has a significant effect on the performance of the over-exposure correction. However, the results of conventional OER detection methods, which generally use the brightness and color information of each pixel, often deviate from the actual OER perceived by the human eye. To overcome this problem, in this paper, we propose a novel method for detecting the perceived OER more accurately. Based on the observation that recognizing the OER in an image is dependent on the saturation sensitivity of the human visual system (HVS), we detect the OER by thresholding the saturation value of each pixel. Here, a function of the proposed method, which is designed based on the results of a subjective evaluation on the saturation sensitivity of the HVS, adaptively determines the saturation threshold value using the color and the perceived brightness of each pixel. Experimental results demonstrate that the proposed method accurately detects the perceived OER, and furthermore, the over-exposure correction can be improved by adopting the proposed OER detection method.

Original languageEnglish
Pages (from-to)17159-17173
Number of pages15
JournalSensors (Switzerland)
Issue number9
Publication statusPublished - 2014 Sept 15


  • Human visual system
  • Over-exposed region detection
  • Over-exposure
  • Over-exposure correction
  • Saturation sensitivity

ASJC Scopus subject areas

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering


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