Image contrast enhancement by analysis on embedded surfaces of images

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

3 Citations (Scopus)

Abstract

Image contrast enhancement plays an important role in many machine vision applications. In this study, we propose a new method for edge enhancement based on analysis on embedded surfaces of images. The proposed method gives an insight into the relationship between the image intensities (also the gradients) and image contrast. In our method, scaled surface area and the surface volume are used to reconstruct the image for edge enhancement, and then the contrast of the reconstructed image is adjusted by a 'strengthen-weaken' process. Although, current method for edge enhancement such as curvelet transform can enhance the edge part, it does not provide good tonal rendition or color constancy sometimes. The experimental results show that our method can give good performance not only in edge enhancement, but also in tonal rendition and color constancy.

Original languageEnglish
Title of host publicationProceedings of IAPR Conference on Machine Vision Applications, MVA 2007
Pages90-93
Number of pages4
Publication statusPublished - 2007 Dec 1
Event10th IAPR Conference on Machine Vision Applications, MVA 2007 - Tokyo, Japan
Duration: 2007 May 162007 May 18

Publication series

NameProceedings of IAPR Conference on Machine Vision Applications, MVA 2007

Conference

Conference10th IAPR Conference on Machine Vision Applications, MVA 2007
CountryJapan
CityTokyo
Period07/5/1607/5/18

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Tian, L., & Kamata, S. I. (2007). Image contrast enhancement by analysis on embedded surfaces of images. In Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007 (pp. 90-93). (Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007).