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Titlebook: Advances in Visual Computing; 10th International S George Bebis,Richard Boyle,Mark Carlson Conference proceedings 2014 Springer Internation

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樓主: Consonant
21#
發(fā)表于 2025-3-25 07:00:09 | 只看該作者
22#
發(fā)表于 2025-3-25 07:41:55 | 只看該作者
23#
發(fā)表于 2025-3-25 11:56:53 | 只看該作者
The Conservation of Aquatic Systems,es in order to study the performance of the proposed method. These experiments demonstrate much improvement over the state-of-the-art algorithms that are either based on label propagation or semi-supervised graph-based embedding.
24#
發(fā)表于 2025-3-25 17:27:10 | 只看該作者
25#
發(fā)表于 2025-3-25 20:27:26 | 只看該作者
Correction to: Conservation Biology,prove the accuracy of reconstruction afforded by higher order methods. The experiments show that enforcing patch-based sparsity, in terms of a learned dictionary, on higher order spline representations, outperforms existing methods that utilize pixel-basis for image representation as well as those employing wavelets as sparsifying transform.
26#
發(fā)表于 2025-3-26 04:00:57 | 只看該作者
27#
發(fā)表于 2025-3-26 04:47:19 | 只看該作者
Rigid Multimodal/Multispectral Image Registration Based on the Expectation-Maximization Algorithmal multispectral intensity distribution and the rigid transformation are computed. The proposed algorithm was tested with different kinds of medical images; our results show that the proposed methodology is a good alternative for rigid multimodal/multispectral registration.
28#
發(fā)表于 2025-3-26 09:34:27 | 只看該作者
Noise Analysis and Removal in 3D Electron Microscopyficult. In this work, we give an analysis of noise, as one of the most important degradations in 3D EM imaging. Next, we propose a Non-Local Means image restoration algorithm that exploits the derived noise characteristics. The proposed algorithm yields significant improvements compared to other state-of-the-art image restoration algorithms.
29#
發(fā)表于 2025-3-26 14:23:01 | 只看該作者
Image Dehazing Using Regularized Optimization show that our proposed algorithm not only enhances the contrast but also preserves the details and sharp edges. Our results demonstrate the effectiveness of the proposed optimization algorithm for dehazing.
30#
發(fā)表于 2025-3-26 19:15:16 | 只看該作者
Real-Time Depth-Image-Based Rendering for 3DTV Using OpenCLpenGL z-testing performance. Two execution models have been implemented (per-line parallel, and per-pixel parallel) and tested against standard video-plus-depth test sequences to show the approach performance.
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