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This paper proposes a novel approach to blind image separation. By using the property that the near pixels have close correlation, blind image separation is formulated to diagonalize several difference correlation matrices. Two algorithms are proposed based on generalized eigen-decomposition and a joint approximate diagonaliztion method respectively. The key point of our method is the formulation...
Many feature selection methods have been proposed in recent years, but there is little work concerning the evaluation of the performances with respect to different feature selection methods especially when the ground truth map is unavailable. In this paper, a new method called quantitative multivariate correlation analysis (QMCA) is proposed, which provides a quantitative measure of the useful information...
We present in this paper a fast block matching motion estimation algorithm for H.264/AVC coding standard, based on a study of the motion vector (MV) obtained by the predictive diamond searching algorithm among several test sequences. We found that diamond search is fast and robust for most types of sequence. Based on temporal and spatial motion correlation among adjacent blocks in images, we propose...
Recent research activity on stereo matching has proved the efficacy of local approaches based on advanced cost aggregation strategies in accurately retrieving 3D information. However, accuracy is typically achieved at expense of computational efficiency, with best methods being far from meeting real-time requirements. On the other side, basic real-time local algorithms relying on a rectangular correlation...
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