计算机科学 ›› 2009, Vol. 36 ›› Issue (9): 271-272.

• 图形图像及体系结构 • 上一篇    下一篇

小波包变换在混合噪声图像中的增强技术

万鸣华,邵杰,黄传波,金忠   

  1. (南京理工大学计算机科学与技术学院 南京 210094)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家863基金(2006AA01Z119)资助。

Wavelet Packet Transformation in Mixed Image Noise Enhancement Technology

WAN Mini-hua,SHAO Jie,HUANG Chuan-bo,JIN Zhong   

  • Online:2018-11-16 Published:2018-11-16

摘要: 图像在获取和传输过程中总会受到噪声等的影响,使图像数据和现实差距太大。为了快速有效地去除这些噪声信号,详细研究了基于小波包变换去除噪声的方法和原理,探讨了基于小波包变换的含多种噪声的图像增强处理技术。实验表明,这种方法在图像去噪处理中是有效可行的。

关键词: 多分辨分析,小波包变换,混合噪声,图像增强,图像融合

Abstract: The images are always influenced by noise when it is obtained and transmitted, which causes too big difference between the image data and the realistic. To fast and effectively eliminate these noise signal, this article Bisected elimination noise's method scene and discussed many kinds of mixed noise image intensification processing technologies based on the wavelet packet transformation. The experiment indicated that our method in image denoising processing is effective and feasible.

Key words: Multi-resolution analysis, Wavelet packet transformation , Mixed noise, Image enhancement, Image fusion

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