秘方药
发表于 2025-3-28 14:56:55
https://doi.org/10.1007/978-3-658-18032-4data hiding is to predict images with higher accuracy, thereby effectively increasing the embedding capacity. However, conventional prediction methods encounter limitations in fully exploiting global pixel correlation. In this study, we propose a novel framework that combines image splitting and con
休战
发表于 2025-3-28 21:00:58
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saphenous-vein
发表于 2025-3-29 01:03:56
Conference proceedings 2024n, China,.during November 25–26, 2023...The 22 full papers included in this book were carefully reviewed and selected from 48 submissions. The workshop focuses on subjects such as novel research, development and application of digital watermarking, data hiding, and forensic techniques for multimedia security..
污点
发表于 2025-3-29 03:54:35
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/279332.jpg
GOUGE
发表于 2025-3-29 10:29:01
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PACT
发表于 2025-3-29 12:21:39
Leadership-Coaching in der VUCA-Weltthat the device-specific artefacts (image sensor as well as image processing-specific ones) are so strong that they obfuscate the material microstructure. To be more precise, the device’s intrinsic signal makes device identification easier to perform than the material authentication.
不愿
发表于 2025-3-29 18:48:43
https://doi.org/10.1007/978-3-658-26941-8extraction module is a Bayar layer and the feature learning module is an encoder-decoder module. The proposed approach is evaluated with inpainted videos created by several state-of-the-art deep video inpainting networks. Extensive experiments has proven that our approach achieved better inpainting localization performance than other methods.
lymphoma
发表于 2025-3-29 21:51:40
https://doi.org/10.1007/978-3-531-19363-2ameters are obtained using an extraction key. The receiver can correctly extract secret data with the help of correct extraction key, while an incorrect key will fail to extract secret data. The feasibility of our scheme is demonstrated in experiments.
Blood-Clot
发表于 2025-3-30 01:06:31
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PALL
发表于 2025-3-30 05:57:36
Limiting Factors in Smartphone-Based Cross-Sensor Microstructure Material Classificationthat the device-specific artefacts (image sensor as well as image processing-specific ones) are so strong that they obfuscate the material microstructure. To be more precise, the device’s intrinsic signal makes device identification easier to perform than the material authentication.