Neuroevolutionary digital image processing

V. Spitsyn, Y. Tsoy

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

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 three-step procedure for image enhancement is proposed: (1) image brightness preprocessing; (2) local level processing using ANN; (3) global level autoleveling algorithm. The results for the proposed three-step image enhancement procedure are presented.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009
Pages833-838
Number of pages6
Volume2
Publication statusPublished - 2009
Event2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009 - Las Vegas, NV, United States
Duration: 13 Jul 200916 Jul 2009

Other

Other2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009
CountryUnited States
CityLas Vegas, NV
Period13.7.0916.7.09

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Keywords

  • Image enhancement
  • Neuroevolution

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Cite this

Spitsyn, V., & Tsoy, Y. (2009). Neuroevolutionary digital image processing. In Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009 (Vol. 2, pp. 833-838)