Applying Wavelets and Evolutionary algorithms to automatic image enhancement

Artem A. Belousov, Vladimir G. Spitsyn, Dmitry V. Sidorov

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

2 Citations (Scopus)

Abstract

Getting clear high detailed images with high contrast is an important task in many spheres of science and engineering. However, it's not always possible because of imperfection of devices or environment conditions. This all leaded to development of different methods of image enhancement. In this article a developed two-phase full-color image enhancement algorithm is described. During the first phase the picture is denoised. Wavelet transformation has been chosen to perform it, because it allows easily remove high-frequency parts. Also, noise components, especially big random surges of signal, could be presented like set of local features of signals. Noise can be reduced by thresholding this features. During the second phase brightness and contrast are automatically tuned up using evolutionary algorithm. Evolutionary algorithms, which are effective methods of multidimensional optimization, allow quick selection of optimal values of transformation parameters, using objective optimization criterion.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume6522
DOIs
Publication statusPublished - 2006
EventThirteenth Joint International Symposium on Atmospheric and Ocean Optics/ Atmospheric Physics - Tomsk, Russian Federation
Duration: 2 Jul 20067 Jul 2006

Other

OtherThirteenth Joint International Symposium on Atmospheric and Ocean Optics/ Atmospheric Physics
CountryRussian Federation
CityTomsk
Period2.7.067.7.06

    Fingerprint

Keywords

  • Evolutionary algorithm
  • Image enhancement
  • Wavelet transformation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Belousov, A. A., Spitsyn, V. G., & Sidorov, D. V. (2006). Applying Wavelets and Evolutionary algorithms to automatic image enhancement. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 6522). [652210] https://doi.org/10.1117/12.723089