Image enhancement based on quadratic programming

Tzu Cheng Jen*, Sheng-Jyh Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


In this paper, a simple but efficient image enhancement algorithm is proposed. We model the image enhancement problem as a quadratic programming problem, and the cost function of the optimization problem is formulated based on local gradients of an image. By adjusting the definitions of gain function and weighting function in the cost function, we can derive various kinds of intensity transfer functions to fit for different applications. Simulation results for contrast enhancement and shadow enhancement have demonstrated the feasibility of this approach in providing a flexible and efficient mechanism for image enhancement.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Print)1424417643, 9781424417643
StatePublished - 1 Dec 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: 12 Oct 200815 Oct 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


Conference2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA


  • Image enhancement
  • Quadratic programming

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