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In this paper, we propose a new method for designing the variation restoration model which uses the noise evaluation to decide the approximation term and the information of geometrical structures in the blurred and noised images to choose the regularization term. We adjust the measurement for the approximation term based on the noise variance in the degraded image. By computing the mean curvature...
In this paper, we propose a method for removing motion blur and deringing from images, which can be applied to handle both the camera motion blur and the object motion blur. Fully taking the advantage of abundant information of blurred/noisy image pair, we can extract the alpha mattes of same objects in both burred image and noisy image, and then estimate the blur kernel of blurred image using the...
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