Noise-refined image enhancement using multi-objective optimization

Renbin Peng, Hao Chen, Pramod K. Varshney

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

Abstract

Image enhancement plays a fundamentally important role in nearly all of the vision and image processing systems. This paper presents a novel scheme for the enhancement of images using stochastic resonance (SR) noise. In this scheme, a suitable dose of noise is added to the lower quality images such that the performance of a suboptimal image enhancer is improved without altering its parameters. In this paper, image enhancement is modeled as a constrained multi-objective optimization (MOO) problem, with similarity and some desired image enhancement characteristic being the two objective functions. The principle of SR noise-refined image enhancement is analyzed, and an image enhancement system is developed. A genetic algorithm-based MOO technique is employed to find the optimum parameters of the SR noise distribution. In addition, a novel image quality evaluation metric based on human visual system (HVS) is developed as one of the objective functions to guide the MOO search procedure. For illustration, four types of SR noises are employed in this paper to improve different enhancers. Encouraging results are obtained when applied to a variety of image distortion situations.

Original languageEnglish (US)
Title of host publication2010 44th Annual Conference on Information Sciences and Systems, CISS 2010
DOIs
StatePublished - Jun 24 2010
Event44th Annual Conference on Information Sciences and Systems, CISS 2010 - Princeton, NJ, United States
Duration: Mar 17 2010Mar 19 2010

Publication series

Name2010 44th Annual Conference on Information Sciences and Systems, CISS 2010

Other

Other44th Annual Conference on Information Sciences and Systems, CISS 2010
CountryUnited States
CityPrinceton, NJ
Period3/17/103/19/10

Keywords

  • Human visual system
  • Image enhancement
  • Multi-objective optimization
  • Stochastic resonance

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management

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