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A method is proposed to process registered images to reduce the effects of registration noise in change detection. The proposed method is based on the pixel-level misregistration map and the gradients of the registered image. Thin plate spline (TPS) transform is selected to estimate the misregistration of each pixel using available tie points. For each pixel, the compensation is composed of two parts:...
Face super-resolution is to synthesize a high-resolution facial image from a low-resolution input, which can significantly improve the recognition for computer and human. In this paper, we propose a new method of super-resolution based on hybrid model including a linear model of eigenface super-resolution and a Bayesian formulation model. Principal Component Analysis (PCA) is used to approximately...
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