Chinese Optics Letters, 2007, 5 (11): 632, Published Online: Nov. 14, 2007
Image denoising using least squares wavelet support vector machines Download: 759次
最小二乘小波支持向量机 图像去噪 小波核 滤波算子 100.3020 Image reconstruction-restoration 100.2000 Digital image processing 100.5010 Pattern recognition 100.7410 Wavelets
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.
Guoping Zeng, Ruizhen Zhao. Image denoising using least squares wavelet support vector machines[J]. Chinese Optics Letters, 2007, 5(11): 632.