力学
发表于 2025-3-21 16:57:05
书目名称Digital Forensics and Watermarking影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0279333<br><br> <br><br>书目名称Digital Forensics and Watermarking影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0279333<br><br> <br><br>书目名称Digital Forensics and Watermarking网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0279333<br><br> <br><br>书目名称Digital Forensics and Watermarking网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0279333<br><br> <br><br>书目名称Digital Forensics and Watermarking被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0279333<br><br> <br><br>书目名称Digital Forensics and Watermarking被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0279333<br><br> <br><br>书目名称Digital Forensics and Watermarking年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0279333<br><br> <br><br>书目名称Digital Forensics and Watermarking年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0279333<br><br> <br><br>书目名称Digital Forensics and Watermarking读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0279333<br><br> <br><br>书目名称Digital Forensics and Watermarking读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0279333<br><br> <br><br>
misshapen
发表于 2025-3-21 21:50:45
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缓和
发表于 2025-3-22 01:48:49
Comparison of DCT and Gabor Filters in Residual Extraction of CNN Based JPEG Steganalysis filter and DCT filter are both used for residual extraction. However, there are few comparisons in existing convolutional neural networks (CNNs) based JPEG steganalysis using Gabor filter or DCT filter in the pre-processing stage to extract residuals. In this paper, we compare the performance of DC
wreathe
发表于 2025-3-22 06:36:56
A Deep Residual Multi-scale Convolutional Network for Spatial Steganalysis performances on discriminating trivial perturbation introduced by spatial steganographic schemes. In this paper, we propose a deep residual multi-scale convolutional network model, which outperforms several CNN-based steganalysis schemes and hand-crafted rich models. Compared to CNN-based steganaly
Astigmatism
发表于 2025-3-22 09:41:00
Provably Secure Generative Steganography Based on Autoregressive ModelConsequently, generative steganography, a novel steganographic method finishing the operation of steganography directly in the process of image generation, tends to get more attention. However, most of the existing generative steganographic methods have more or less shortcomings, such as low securit
鞭子
发表于 2025-3-22 15:47:57
A Novel Steganalysis of Steghide Focused on High-Frequency Region of Audio Waveformonventional steganalysis utilize the statistics of high-frequency regions and silent temporal segments of the target signals intentionally or unintentionally. Moreover, the frequency components just below the Nyquist frequency are important for statistic-based steganalysis in terms of the signal-to-
鞭子
发表于 2025-3-22 18:17:07
Cycle GAN-Based Attack on Recaptured Images to Fool both Human and Machineed to detect recaptured images. To counter these techniques, in this paper, we propose a method that can translate recaptured images to fake “original images” to fool both human and machines. Our method is proposed based on Cycle-GAN which is a classic framework for image translation. To obtain bett
厌恶
发表于 2025-3-22 23:12:13
Spherical Panorama Image Watermarking Using Viewpoint Detectionnt a new watermarking technique to protect spherical panorama images as well as view-images that are rendered with a specific viewpoint. Solving the watermark synchronization problem in the detection process requires finding the viewpoint of a view-image. Scale Invariant Feature Transform (SIFT) and
新义
发表于 2025-3-23 04:57:28
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平庸的人或物
发表于 2025-3-23 07:12:30
Improved High Capacity Spread Spectrum-Based Audio Watermarking by Hadamard Matriceson. In this paper, we use Hadamard sequences, which are rows of Hadamard matrices, to embed and extract watermarks instead of pseudonoise sequences. By exploiting the orthogonality of Hadamard sequences and a technique of sign change, we propose a new spread spectrum-based audio watermarking method.