Digital images enhancement with use of evolving neural networks

Authors:
Yuri Tsoy;Vladimir Spitsyn
Affiliations:
Computer Engineering Department, Tomsk Polytechnic University, Russia;Computer Engineering Department, Tomsk Polytechnic University, Russia
Venue:
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Year:
2006

Citing 3
Cited 0

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Digital Image Processing
Gray-scale image enhancement as an automatic process driven by evolution

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

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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.