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In this paper, we propose a robust video colorization method automatically through limited color references in a video sequence. The proposed method first estimates motion vectors between a monochrome frame and colored reference frames for initial matching by optical flow. Then it transfers color information to matched points in the monochrome frame and further propagates color information of matched...
In this paper, we propose a novel frame rate up-conversion algorithm based on joint motion vector refinement and visual-weighted motion compensation interpolation (MCI). It utilizes a hierarchical motion vector refinement to correct inaccurate motion vectors (MVs), which is composed of the global level and the local level. In the global level, distinct inaccurate MVs are detected by global controlling...
In this paper, we present a novel method for Super Resolution (SR) reconstruction with rotation invariance and search window relocation. To combine complementary information in observed images to generate a higher resolution image, we first relocate search window to involve potential similar patches and then use rotation invariance similarity measure to find accurate similar patches. Comparing with...
Motion estimation is a critical step for most reconstruction-based super resolution methods. However, accurate motion estimation is difficult, and the unavoidable error degrades performance of super resolution rapidly. In this paper, we present a robust way to perform super resolution by improving motion estimation. Starting with feature points matching, we compute the local motion parameter of feature...
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