An Wavelet Image Automatic Threshold Selection Denoising Method
| Autor: | Xiang Wei Li, Shuang Ping Zhao, Gong Zheng, Jing Hong Xing |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Discrete wavelet transform
Lifting scheme business.industry Stationary wavelet transform Second-generation wavelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Engineering Wavelet transform Pattern recognition Cascade algorithm Data_CODINGANDINFORMATIONTHEORY Wavelet packet decomposition Wavelet Artificial intelligence business Mathematics |
| Zdroj: | Advanced Materials Research. :780-783 |
| ISSN: | 1662-8985 |
| DOI: | 10.4028/www.scientific.net/amr.482-484.780 |
| Popis: | A wavelet image automatic threshold selection denoising method based on wavelet transform and genetic algorithm. Firstly, wavelet transition is introduced to an original signal and selecting a wavelet and a level of wavelet decomposition. Secondly, the automatic thresholds of every level of wavelet resolved are obtained by using genetic algorithms. At the same time, the high coefficients of every level were quantized. Thirdly, inverse transition of the coefficients was processed and achieves the final resulting signals. Compared to traditional threshold methods, the proposed method has advantages that it can implement quickly optimal threshold and good capability and stabilization. The final experiments results show that using the proposed algorithm can obtain satisfactory denoising effect. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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