Neiroevolutionary approach for color image enhancement

Abstract

The paper present a neuroevolutionary method of monochrome and color images enhancement. The proposed method is based on local-adaptive approach to processing color components of image. Neural network is tuned to perform enhancement of particular image using genetic algorithm with use of the generalized image evaluation criterion that relies on the contrast degree of the processed image.

Original language	English
Title of host publication	GraphiCon 2007 - International Conference on Computer Graphics and Vision, Proceedings
Publication status	Published - 2007
Event	17th International Conference on Computer Graphics and Vision, GraphiCon 2007 - Moscow, Russian Federation Duration: 23 Jun 2007 → 27 Jun 2007

Other

Other	17th International Conference on Computer Graphics and Vision, GraphiCon 2007
Country	Russian Federation
City	Moscow
Period	23.6.07 → 27.6.07

Keywords

Adaptive image processing
Evolutive neural network
Genetic algorithm
Image enhancement

ASJC Scopus subject areas

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

Access to Document

Fingerprint Dive into the research topics of 'Neiroevolutionary approach for color image enhancement'. Together they form a unique fingerprint.

Cite this

@inproceedings{6b8584727c2244c4906f5d9b88952300,

title = "Neiroevolutionary approach for color image enhancement",

abstract = "The paper present a neuroevolutionary method of monochrome and color images enhancement. The proposed method is based on local-adaptive approach to processing color components of image. Neural network is tuned to perform enhancement of particular image using genetic algorithm with use of the generalized image evaluation criterion that relies on the contrast degree of the processed image.",

keywords = "Adaptive image processing, Evolutive neural network, Genetic algorithm, Image enhancement",

author = "Chernyavsky, {Alexander V.} and Spitsyn, {Vladimir G.} and Tsoy, {Yuri R.}",

year = "2007",

language = "English",

booktitle = "GraphiCon 2007 - International Conference on Computer Graphics and Vision, Proceedings",

note = "17th International Conference on Computer Graphics and Vision, GraphiCon 2007 ; Conference date: 23-06-2007 Through 27-06-2007",

}

TY - GEN

T1 - Neiroevolutionary approach for color image enhancement

AU - Chernyavsky, Alexander V.

AU - Spitsyn, Vladimir G.

AU - Tsoy, Yuri R.

PY - 2007

Y1 - 2007

N2 - The paper present a neuroevolutionary method of monochrome and color images enhancement. The proposed method is based on local-adaptive approach to processing color components of image. Neural network is tuned to perform enhancement of particular image using genetic algorithm with use of the generalized image evaluation criterion that relies on the contrast degree of the processed image.

AB - The paper present a neuroevolutionary method of monochrome and color images enhancement. The proposed method is based on local-adaptive approach to processing color components of image. Neural network is tuned to perform enhancement of particular image using genetic algorithm with use of the generalized image evaluation criterion that relies on the contrast degree of the processed image.

KW - Adaptive image processing

KW - Evolutive neural network

KW - Genetic algorithm

KW - Image enhancement

UR - http://www.scopus.com/inward/record.url?scp=84871258556&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84871258556&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84871258556

BT - GraphiCon 2007 - International Conference on Computer Graphics and Vision, Proceedings

T2 - 17th International Conference on Computer Graphics and Vision, GraphiCon 2007

Y2 - 23 June 2007 through 27 June 2007

ER -