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

Ding Xiao, Jun Ohya

研究成果: Conference contribution

28 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007
ページ58-63
ページ数6
出版ステータスPublished - 2007 12 1
イベント2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008 - Clearwater, FL, United States
継続期間: 2007 1 32007 1 5

出版物シリーズ

名前Proceedings 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

ASJC Scopus subject areas

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

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