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Through K-nearest neighbor algorithm based on k-d tree, the noises in the disordered and three-dimensional point cloud are removed. The value of the k in the K-nearest neighbor algorithm is discussed in detail. By three-dimensional projection, the dimension of k-d tree is reduced. So efficiency of de-noising is improved. The original depth image corresponding with the point cloud data is converted...
Weighted linear regression method has been widely applied for image reconstruction in computed tomography. In this paper we propose an approach based on the ridge regression method and derive two ordered-subset reconstruction algorithms from this framework. The convergence properties of the algorithms are validated by recent results on the ordered-subset Landweber scheme or numerical experiments....
Image completion is to recover its damaged regions to get a visually satisfactory result. Recently, exemplar-based method is an important method, which propagates sample patches into unknown regions from known regions. It should take two steps. The first is to search for the most matching patch in another same intact image, or the other part of this image, and the second is to inpaint the damaged...
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