开脱
发表于 2025-3-21 18:20:51
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COST
发表于 2025-3-22 00:08:29
https://doi.org/10.1007/978-3-322-88467-1 on the joint sparse coding approach. The proposed method preserves more small image details than the state-of-the-art algorithms based on total variation minimization, and outperforms them in terms of image quality metrics.
严厉谴责
发表于 2025-3-22 02:25:05
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蚀刻术
发表于 2025-3-22 04:38:52
https://doi.org/10.1007/978-3-642-92872-7des its visual quality and hinders its analysis. In this paper we present a new video denoising method extending the non-local Bayes image denoising algorithm. The method does not require motion estimation, and yet preliminary results show that it compares favourably with the state-of-the-art methods in terms of PSNR.
ureter
发表于 2025-3-22 10:44:45
,Darstellung sinusförmiger Wechselgrößen,d task. The method can be used either as a standalone solution, or integrated with other algorithms, due to its relatively low computational cost. The results of preliminary small scale test confirm its correct operation.
sphincter
发表于 2025-3-22 14:36:47
Berechnung von Wechselstromschaltungenes. We will show that this method significantly outperforms state-of-the-art algorithms for the panning sequences in the ChangeDetection.NET 2014 dataset, while still performing well in the other categories.
RADE
发表于 2025-3-22 20:26:50
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opinionated
发表于 2025-3-23 01:01:43
https://doi.org/10.1007/978-3-322-88322-3ning direct and feature-based approaches. Some detailed experiments in this paper show the robustness and efficiency of the proposed algorithm. Results of some applications of this method are given, like image stabilisation, image mosaicing and road surveillance.
Redundant
发表于 2025-3-23 04:48:04
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Intercept
发表于 2025-3-23 07:46:24
https://doi.org/10.1007/978-3-322-88467-1shows a good discriminative power when dealing with the variations in illumination, scale, rotation, blur, viewpoint and compression. The experiments on image matching, demonstrates the advantage of the obtained descriptor when compared to its first order counterparts such as SIFT, DAISY, GLOH, GIST and LIDRIC.