Main > Chinese Optics Letters >  Volume 5 >  Issue 11 >  Page 632 > Article
  • Abstract
  • Abstract
  • References (10)
  • Cited By (4)
  • Get PDF
  • Paper Information
  • Received: May. 14, 2007

    Accepted: --

    Posted: Nov. 14, 2007

    Published Online: Nov. 14, 2007

    The Author Email: Guoping Zeng (cn_zeng222@126.com)

    DOI:

  • Get Citation
  • Copy Citation Text

    Guoping Zeng, Ruizhen Zhao. Image denoising using least squares wavelet support vector machines[J]. Chinese Optics Letters, 2007, 5(11): 632

    Download Citation

  • !Citations Alert
  • Share
Chinese Optics Letters, Vol. 5, Issue 11, 632 (2007)

Image denoising using least squares wavelet support vector machines

Guoping Zeng* and Ruizhen Zhao

Author Affiliations

  • Institute of Information Science, Beijing Jiaotong University, Beijing 100044

Abstract

We propose a new method for image denoising combining wavelet transform and support vector machines (SVMs). A new image filter operator based on the least squares wavelet support vector machines (LS-WSVMs) is presented. Noisy image can be denoised through this filter operator and wavelet thresholding technique. Experimental results show that the proposed method is better than the existing SVM regression with the Gaussian radial basis function (RBF) and polynomial RBF. Meanwhile, it can achieve better performance than other traditional methods such as the average filter and median filter.

keywords

Please Enter Your Email: