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In this paper, wavelet analysis methods, mainly including wavelet basis function, continuous and discrete wavelet transform and multiresolution analysis were introduced first. Then, current applications of the wavelet analysis methods to various aspects of cloud computing and big data were summarized. The three aspects of wavelet-based analysis include: The application of wavelet denoising, the online...
Medical Imaging is currently a hot area of biomedical engineers, researchers and medical doctors as it is extensively used in diagnosing of human health and by health care institutes. The imaging equipment is the device, which is used for better image processing and highlighting the important features. These images are affected with random noise during acquisition, analyzing and transmission process...
This paper firstly shows the entire picture of a promising research area, face recognition. Then a new face recognition method is proposed, mainly based on the combination of wavelet transform and local hybrid projection entropy (LHPE). Some classical image processing methods are included to constitute a cascade framework. The experimental results on Yale face database and Yale B face database show...
Wavelets transform have been extended to image process and achieve a lot of good results in the field. However, it is of congenital defects. So many new methods are generated based on it. Wedgelet transform is a better method among them. Wedgelet transform is a kind of multi-resolution method which can represent anisotropy of image. We induce the theory of wedgelet transform, in this paper, and apply...
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