Image enhancement using sorted histogram specification and POCS postprocessing

Il Lyong Jung, Chang-Su Kim

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

3 Citations (Scopus)

Abstract

An image enhancement algorithm based on the sorted histogram equalization (SHE) and specification (SHS) is proposed in this work. Although SHE and SHS can generate an arbitrary output histogram exactly, they yield false contour artifacts and amplify noises in many cases. To reduce these artifacts, we propose a postprocessing scheme using the projection onto convex sets (POCS) theory. Specifically, the proposed algorithm iteratively processes the output images of SHE and SHS using the low-pass, boundary and dithering conditions. Simulation results demonstrate that the proposed algorithm provides an excellent image quality, by improving the contrast while reducing undesired artifacts.

Original languageEnglish
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Volume1
DOIs
Publication statusPublished - 2006 Dec 1
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: 2007 Sep 162007 Sep 19

Other

Other14th IEEE International Conference on Image Processing, ICIP 2007
CountryUnited States
CitySan Antonio, TX
Period07/9/1607/9/19

    Fingerprint

Keywords

  • Histogram equalization
  • Histogram specification
  • Image enhancement
  • POCS

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Jung, I. L., & Kim, C-S. (2006). Image enhancement using sorted histogram specification and POCS postprocessing. In Proceedings - International Conference on Image Processing, ICIP (Vol. 1). [4379012] https://doi.org/10.1109/ICIP.2007.4379012