Digital images enhancement with use of evolving neural networks

Yuri Tsoy, Vladimir Spitsyn

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

4 Citations (Scopus)

Abstract

An approach to image enhancement through artificial neural network's (ANN) processing is proposed. The structure and weights of ANN are tuned with use of evolutionary concept. Each image is processed in pixel-by-pixel manner using pixels' local characteristics that are calculated approximately to increase the processing speed but preserving satisfactory calculations' error. The two-step procedure for image enhancement is proposed: (1) local level processing using ANN; (2) global level autoleveling algorithm. The results for the proposed two-step image enhancement procedure are presented and compared with that of some alternative approaches.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages593-602
Number of pages10
Volume4193 LNCS
Publication statusPublished - 2006
Event9th International Conference on Parallel Problem Solving from Nature, PPSN IX - Reykjavik, Iceland
Duration: 9 Sep 200613 Sep 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4193 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Conference on Parallel Problem Solving from Nature, PPSN IX
CountryIceland
CityReykjavik
Period9.9.0613.9.06

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ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Tsoy, Y., & Spitsyn, V. (2006). Digital images enhancement with use of evolving neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4193 LNCS, pp. 593-602). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4193 LNCS).