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  • 标题:Adaptive Genetic Algorithm Based on Chaotic Intelligent Algorithm to Image Restoration Research
  • 本地全文:下载
  • 作者:Guang ZHENG ; Yiran WANG
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2016
  • 卷号:9
  • 期号:7
  • 页码:305-314
  • DOI:10.14257/ijsip.2016.9.7.27
  • 出版社:SERSC
  • 摘要:As an important subject of image processing, image restoration is a kind of degeneration by establishing the mathematical model of reverse deduction arithmetic, and the image processing technology of the original image is obtained.Traditional image restoration algorithm by image dimension is low, the method of single factors such as limit, image restoration effect is limited.Combined with adaptive chaotic genetic algorithm, this paper proposes an improved image restoration intelligent algorithm.Through analysis and experiment comparison, the new algorithm can get better effect of image restoration.
  • 关键词:Chaos optimization; Genetic algorithm; Image restoration
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