An Adaptive Self-Organizing Migration Algorithm for Parameter Optimization of Wavelet Transformation

Wavelet transformation is well applied in the field of image processing, and parameter optimization of wavelet transformation has always been an eternal topic on its performance improvement. In this paper, an adaptive self-organizing migration algorithm (ASOMA) is proposed to optimize the wavelet pa...

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Vydané v:	Mathematical problems in engineering Ročník 2022; s. 1 - 14
Hlavní autori:	Cao, Zijian, Jia, Haowen, Zhao, Tao, Fu, Yanfang, Wang, Zhenyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Hindawi 27.02.2022 John Wiley & Sons, Inc
Predmet:	Adaptive algorithms Engineering Genetic algorithms Image processing Methods Noise Noise reduction Optimization Optimization techniques Parameters Performance evaluation Signal to noise ratio Wavelet transforms
ISSN:	1024-123X, 1563-5147
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