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Learned Sparsifying orthogonal transforms (SOTs) have proven to be a powerful tool for image and video processing. In this paper, we propose a variant of SOT, named compact bases SOT, or CB-SOT, which has several promising features for data compression: (i) as an input-adaptive transform, it can sparsely represent the input data very well; (ii) the transform matrix is orthogonal; (iii) unlike SOT,...
Image blur is a common type of image distortion in our daily life. Though traditional image quality assessment (IQA) is increasingly drawing the attention of the research community, the uncertainness and uniqueness which exists in blur images bring unexpected difficulties. We present a simple yet effective automatic method on assessing global invariant blurred images. Different from the traditional...
In this paper, we introduce a novel approach to bas-relief generation and shape editing that uses gradient-based mesh deformation as the theoretical foundation. Our approach differs from image-based methods in that it operates directly on the triangular mesh, and ensures that the mesh topology remains unchanged during geometric processing. By implicitly deforming the input mesh through gradient manipulation,...
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