Contrast compensation for back-lit and front-lit color face images via fuzzy logic classification and image illumination analysis

Chun Ming Tsai, Zong M.U. Yeh, Yuan Fang Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Conventional contrast enhancement methods have two shortcomings. First, most of them do not produce satisfactory enhancement results for face images with back-lit or front-lit. Second, most of them need transformation functions and parameters which are specified manually. Thus, this paper proposes an automatic and parameter-free contrast compensation algorithm for color face images. This method includes: RGB color space is transformed to YIQ color space. Fuzzy logic is used to classify the color images into back-lit, normal-lit, and front-lit categories. Image illumination analysis is used to analyze the image distribution. The input image is compensated by piecewise linear based compensation method. Finally, the compensation image is transformed back to RGB color space. This novel compensation method is automatic and parameter-free. Our experiments included back-lit and front-lit images. Experiment results show that the performance of the proposed method is better than other available methods in visual perception measurements.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
Pages3563-3568
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 29
Event7th International Conference on Machine Learning and Cybernetics, ICMLC - Kunming, China
Duration: 2008 Jul 122008 Jul 15

Publication series

NameProceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
Volume6

Other

Other7th International Conference on Machine Learning and Cybernetics, ICMLC
CountryChina
CityKunming
Period08/7/1208/7/15

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Keywords

  • Color face images
  • Contrast compensation
  • Fuzzy logic classification
  • Image illumination analysis
  • Parameter-free

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Systems Engineering

Cite this

Tsai, C. M., Yeh, Z. M. U., & Wang, Y. F. (2008). Contrast compensation for back-lit and front-lit color face images via fuzzy logic classification and image illumination analysis. In Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC (pp. 3563-3568). [4621022] (Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC; Vol. 6). https://doi.org/10.1109/ICMLC.2008.4621022