Image Denoising Based on Wavelet Support Vector Regression

نویسندگان

  • Shaoming Zhang
  • Ying Chen
چکیده

In this paper, a new image denoising method based on wavelet analysis and support vector machine regression (SVR) is presented. The feasibility of image denoising via support vector regression is discussed and an illustrative example is given. The wavelet kernel is proposed to construct wavelet support vector machine (WSVM). The result of experiment shows that the denoising method based on WSVM can reduce noise better than Gaussian KBF SVM and other traditional methods.

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تاریخ انتشار 2007