J4 ›› 2010, Vol. 37 ›› Issue (2): 346-352+365.doi: 10.3969/j.issn.1001-2400.2010.02.029

• 研究论文 • 上一篇    下一篇



  1. (1. 陕西师范大学 计算机科学学院,陕西 西安  710062;
    2. 西北工业大学 计算机学院,陕西 西安  710072)
  • 收稿日期:2009-02-20 出版日期:2010-04-20 发布日期:2010-06-03
  • 通讯作者: 马苗
  • 作者简介:马苗(1977-),女,副教授,博士,E-mail: mmthp@snnu.edu.cn
  • 基金资助:


Research on image enhancement for the heavy noised image based on structural similarity via gray relational analysis

MA Miao1,2;JIAO Li-li1   

  1. (1. College of Computer Science, Shaanxi Normal Univ., Xi'an  710062, China;
    2. School of Computer, Northwestern Polytechnical Univ., Xi'an  710072, China)
  • Received:2009-02-20 Online:2010-04-20 Published:2010-06-03
  • Contact: MA Miao



关键词: 图像增强, 小波变换, 灰色关联分析, 结构相似性


To improve the heavy noised image quality, this paper proposes a new image enhancement algorithm. Firstly, the noised image is transformed into the wavelet domain via multiscale decomposition, and the information in different resolutions and different directions in the frequency domain are obtained. Then the regularities of coefficient distribution and attenuation characteristics of noise and edges in different subbands are employed to distinguish noise from edges and textures, and thus the image quality is improved by noise suppression and edge enhancement. Experimental results show that our algorithm is superior to most traditional spatial filters and new-developed methods based on the wavelet or contourlet transform both in visual effect and Peak-Signal-to-Noise Ratio (PSNR). It can be applied to image enhancement preprocessing in heavy noise environment.

Key words: image enhancement, wavelet transform, GRA, structural similarity