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Synthetic aperture radar (SAR) has become one of the most powerful observation tools in the studies of natural environments and Earth resources. However the granular appearance of speckle noise in synthetic aperture radar imagery makes it very difficult to visually and automatically interpret information of SAR data. In this paper, according to the inherent speckle property of SAR image, we proposed...
Super-resolution image reconstruction has been one of the most active research areas in recent years. Based on the theory of statistical learning, Mercer condition and the wavelet frame, this paper proposes a new multiscale wavelet support vector regression model (MWSVR) to reconstruction super-resolution image from low-resolution image and missing data image. The SVM essence is kernel method and...
In this paper, we propose a robust method for the suppression of noise in medical ultrasound image by fusing the wavelet denoising technique with support vector regression (SVR). Based on the least squares support vector regression (LS- SVR), a new denoising operator and a new manipulation algorithm of wavelet coefficients are presented by incorporating neighboring coefficients. The proposed method...
In this paper, a new multiscale wavelet support vector machines model (MWSVM) is proposed, according to the Mercer condition, the wavelet frame theory and kernel function nature. From the statistical learning theory and the SVM model, pointed out the SVM essence is kernel method, the different kernel function has decided the different SVM. The choice of kernel parameters is simplified in MWSVM. By...
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