Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Comparative Study on Image Enhancement Methods for Low Contrast Images

저대비 영상을 위한 영상향상 기법들의 비교연구

  • Kim Yong-Soo (Division of Computer Engineering, Daejeon University) ;
  • Kim Nam-Jin (Mobile Communication Division, Telecommunication Network Business, Samsung Electronics) ;
  • Lee Se-Yul (Department of Computer Science, Chungwoon University)
  • 김용수 (대전대학교 컴퓨터공학부) ;
  • 김남진 (삼성전자 정보통신총괄 무선사업부) ;
  • 이세열 (청운대학교 컴퓨터학과)
  • Published : 2005.04.01
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Abstract

The principal objective of enhancement methods is to process an image so that the result is more suitable than the original image for a specific application. Images taken in the night can be low-contrast images because of poor environments. In this paper, we compare the structure of ICECA(Image Contrast Enhancement technique using Clustering Algorithm) with the structures of HE(Histogram Equalization), BBHE(Brightness preserving Bi-Histogram Equalization), and Multi -Scale Retinex(MSR). We compared performances of image enhancement methods by applying these methods to a set of diverse images.

Keywords