Contrast enhancement of color images based on wavelet transform and human visual system

Ding Xiao, Jun Ohya

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

27 Citations (Scopus)

Abstract

This paper proposes a new method for enhancing the contrast of color images based on Wavelet Transform and human visual system. The RGB (red, green, and blue) values of each pixel in a color image are converted to HSV (hue, saturation and value) values. To the V (luminance value) components of the color image, Wavelet Transform is applied so that the V components are decomposed into the approximate components and detail components. The obtained coefficients of the approximate components are converted by a grey-level contrast enhancement technique based on human visual system. Then, inverse Wavelet transform is performed for the converted coefficients so that the enhanced V values are obtained. The S components are enhanced by histogram equalization. The H components are not changed, because changes in the H components could degrade the color balance between the HSV components. The enhanced S and V together with H are converted back to RGB values. The effectiveness of the proposed method is demonstrated experimentally.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007
Pages58-63
Number of pages6
Publication statusPublished - 2007 Dec 1
Event2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008 - Clearwater, FL, United States
Duration: 2007 Jan 32007 Jan 5

Publication series

NameProceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007

Conference

Conference2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008
CountryUnited States
CityClearwater, FL
Period07/1/307/1/5

Keywords

  • Color enhancement
  • HSV color space
  • Human visual system
  • Image processing
  • Wavelet transform

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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