Modified cuckoo search-based image enhancement

Lalit Maurya, Prasant Kumar Mahapatra*, Garima Saini

*Corresponding author for this work

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

Abstract

Swarm intelligence-based evolutionary algorithms have a prominent role in the field of automatic image enhancement that is considered as the optimization problem. In this paper, a modified cuckoo search-based image enhancement is proposed. The modified cuckoo search is used to find the optimal solution of the problem automatically. The proposed method is applied to the lathe tools and some other standard images for improvement of contrast and brightness. The results of the proposed image enhancement method are compared with the other conventional image enhancement techniques like histogram equalization (HE), linear contrast stretching (LCS) and particle swarm optimization (PSO).

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Frontiers in Intelligent Computing
Subtitle of host publicationTheory and Applications, FICTA 2015
EditorsJyotsna Kumar Mandal, Swagatam Das, Suresh Chandra Satapathy, Tandra Pal, Samarjit Kar
PublisherSpringer
Pages625-634
Number of pages10
ISBN (Electronic)9788132226956
ISBN (Print)9788132226932
DOIs
Publication statusPublished - 25 Oct 2015
Event4th International Conference on Frontiers in Intelligent Computing: Theory and Applications, FICTA 2015 - Durgapur, India
Duration: 16 Nov 201518 Nov 2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume404
ISSN (Print)2194-5357

Conference

Conference4th International Conference on Frontiers in Intelligent Computing: Theory and Applications, FICTA 2015
Country/TerritoryIndia
CityDurgapur
Period16/11/1518/11/15

Keywords

  • Histogram equalization
  • Image enhancement
  • Linear contrast stretching
  • Modified cuckoo search
  • Particle swarm optimization
  • Swarm intelligence

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