neolith
发表于 2025-3-28 17:33:03
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flaunt
发表于 2025-3-28 18:48:42
Patch Group Based Bayesian Learning for Blind Image Denoising distribution is usually unknown and is more complex, making image denoising still a challenging problem. In this paper, we propose a novel blind image denoising method under the Bayesian learning framework, which automatically performs noise inference and reconstructs the latent clean image. By uti
开始从未
发表于 2025-3-29 02:33:15
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BOLT
发表于 2025-3-29 03:11:19
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共同确定为确
发表于 2025-3-29 10:48:21
Visual Smoke Detectionrly fire detection. Proposed algorithm uses an unique combination of features to detect smoke efficiently. These features use appearance, energy and motion properties of the smoke. Further analysis of past history of smoke increases the accuracy of the algorithm. These features are less complex and
Anticoagulants
发表于 2025-3-29 14:05:00
Local Feature-Based Photo Album Compression by Eliminating Redundancy of Human Partition save the storage spaces. Recently, an advance technique of photo album compression via video compression is proposed which utilizes the similarity between photos to improve the compression performance. In this paper, we modify the original scheme to improve the compression performance when photos c
异常
发表于 2025-3-29 17:21:30
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UNT
发表于 2025-3-29 22:58:23
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harbinger
发表于 2025-3-30 02:10:03
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padding
发表于 2025-3-30 06:03:27
A Dual Adaptive Regularization Method to Remove Mixed Gaussian-Poisson Noise the ill-posed image denoising problems with an approximate well-posed one. However, the sole constraint in non-adaptive regularization methods is harmful to a good balance between the noise-removing and detail-preserving. Meanwhile, most existing adaptive regularization methods were aimed at unitar