Contrast enhancement based on layered difference representation

Chulwoo Lee, Chul Li, Chang-Su Kim

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

17 Citations (Scopus)

Abstract

A novel contrast enhancement algorithm based on the layered difference representation is proposed in this work. We first represent gray-level differences at multiple layers in a tree-like structure. Then, based on the observation that gray-level differences, occurring more frequently in the input image, should be more emphasized in the output image, we solve a constrained optimization problem to derive the transformation function at each layer. Finally, we aggregate the transformation functions at all layers into the overall transformation function. Simulation results demonstrate that the proposed algorithm enhances images efficiently in terms of both objective quality and subjective quality.

Original languageEnglish
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Pages965-968
Number of pages4
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
Duration: 2012 Sep 302012 Oct 3

Other

Other2012 19th IEEE International Conference on Image Processing, ICIP 2012
CountryUnited States
CityLake Buena Vista, FL
Period12/9/3012/10/3

Keywords

  • and constrained optimization
  • Contrast enhancement
  • histogram equalization
  • layered difference representation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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    Lee, C., Li, C., & Kim, C-S. (2012). Contrast enhancement based on layered difference representation. In Proceedings - International Conference on Image Processing, ICIP (pp. 965-968). [6467022] https://doi.org/10.1109/ICIP.2012.6467022