A novel evolutionary approach to image enhancement filter design: Method and applications

J. H. Hong, S. B. Cho, U. K. Cho

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

Image enhancement is an important issue in digital image processing. Various approaches have been developed to solve image enhancement problems, but most of them require deep expert knowledge to design appropriate image filters. To automatically design a filter, we propose a novel approach based on the genetic algorithm that optimizes a set of standard filters by determining their types and order. Moreover, the proposed method is able to manage various types of noise factors. We applied the proposed method to local and global image enhancement problems such as impulsive noise reduction, interpolation, and orientation enhancement. In terms of subjective and objective evaluations, the results show the superiority of the proposed method.

Original languageEnglish
Pages (from-to)1446-1457
Number of pages12
JournalIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume39
Issue number6
DOIs
Publication statusPublished - 2009

Bibliographical note

Funding Information:
Manuscript received July 26, 2008; revised November 24, 2008. First published April 24, 2009; current version published November 18, 2009. This work was supported by MKE, Korea under ITRC IITA-2009-(C1090-0902-0046). This paper was recommended by Associate Editor C.-T. Lin.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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