標(biāo)題: Titlebook: Digital Forensics and Watermarking; 17th International W Chang D. Yoo,Yun-Qing Shi,Gwangsu Kim Conference proceedings 2019 Springer Nature [打印本頁(yè)] 作者: 力學(xué) 時(shí)間: 2025-3-21 16:57
書目名稱Digital Forensics and Watermarking影響因子(影響力)
書目名稱Digital Forensics and Watermarking影響因子(影響力)學(xué)科排名
書目名稱Digital Forensics and Watermarking網(wǎng)絡(luò)公開度
書目名稱Digital Forensics and Watermarking網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Digital Forensics and Watermarking被引頻次
書目名稱Digital Forensics and Watermarking被引頻次學(xué)科排名
書目名稱Digital Forensics and Watermarking年度引用
書目名稱Digital Forensics and Watermarking年度引用學(xué)科排名
書目名稱Digital Forensics and Watermarking讀者反饋
書目名稱Digital Forensics and Watermarking讀者反饋學(xué)科排名
作者: misshapen 時(shí)間: 2025-3-21 21:50 作者: 緩和 時(shí)間: 2025-3-22 01:48
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作者: wreathe 時(shí)間: 2025-3-22 06:36
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作者: Astigmatism 時(shí)間: 2025-3-22 09:41
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作者: 鞭子 時(shí)間: 2025-3-22 15:47
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-作者: 鞭子 時(shí)間: 2025-3-22 18:17
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作者: 厭惡 時(shí)間: 2025-3-22 23:12
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作者: 新義 時(shí)間: 2025-3-23 04:57 作者: 平庸的人或物 時(shí)間: 2025-3-23 07:12
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.作者: Hyperopia 時(shí)間: 2025-3-23 12:44 作者: Conduit 時(shí)間: 2025-3-23 13:54 作者: Conjuction 時(shí)間: 2025-3-23 19:55
Pixel-Value-Ordering Based Reversible Data Hiding with Adaptive Texture Classification and Modificatck by their values at first and then embedding into data bits into the maximum or minimum pixels of a block. In this paper, we propose to modify the pixel blocks differently according to how smooth they are, and embed the adequate number of bits into different types of blocks. The pixel blocks are f作者: 撫育 時(shí)間: 2025-3-23 22:34 作者: sterilization 時(shí)間: 2025-3-24 05:01 作者: EXPEL 時(shí)間: 2025-3-24 08:51
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/279333.jpg作者: Vertical 時(shí)間: 2025-3-24 14:07 作者: MUT 時(shí)間: 2025-3-24 17:36
,Resilienzf?rderung bei Risikogruppen, designed very deep to achieve high accuracy, resulting in inability to train large size images due to the limitation of GPUs’ memory. Most existing network architectures use small images of 256 . 256 or 512 . 512 pixels as their detection objects which are far from meeting the needs of practical ap作者: appall 時(shí)間: 2025-3-24 19:20
Geoffrey R. Newman,Jan A. Hobot 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作者: lethargy 時(shí)間: 2025-3-25 01:04 作者: 宮殿般 時(shí)間: 2025-3-25 05:14
Immunolabelling Protocols for Resin SectionsConsequently, 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作者: implore 時(shí)間: 2025-3-25 10:41 作者: 緩和 時(shí)間: 2025-3-25 12:55 作者: 他一致 時(shí)間: 2025-3-25 15:57 作者: lethargy 時(shí)間: 2025-3-25 20:49 作者: Mitigate 時(shí)間: 2025-3-26 02:41
Fernando Pareja-Blanco,Irineu Loturcoon. 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.作者: dilute 時(shí)間: 2025-3-26 08:23
https://doi.org/10.1007/978-3-030-81989-7rmarking. The entities involved in this process are two: the owner of the document that owns its digital rights and a generic user who can download or view a watermarked version of the original document. The watermarked version contains a QR code that is repeatedly inserted, and scrambled, by the do作者: Parley 時(shí)間: 2025-3-26 09:37 作者: obstruct 時(shí)間: 2025-3-26 14:41 作者: slipped-disk 時(shí)間: 2025-3-26 17:21 作者: Benign 時(shí)間: 2025-3-26 21:49
Nandita Chaudhary,Shashi Shuklaiction algorithm is essential and crucial. In this paper, a high-performance error-prediction method based on Multiple Linear Regression (MLR) algorithm is proposed to improve the performance of Reversible Data Hiding (RDH). The MLR matrix function that indicates the inner correlations between the p作者: OFF 時(shí)間: 2025-3-27 01:16
https://doi.org/10.1007/978-3-030-11389-6cryptography; digital forensics; watermarking; steganalysis; steganography; security service; data hiding; 作者: 恩惠 時(shí)間: 2025-3-27 05:57
978-3-030-11388-9Springer Nature Switzerland AG 2019作者: 含水層 時(shí)間: 2025-3-27 12:36 作者: constellation 時(shí)間: 2025-3-27 13:36 作者: 相信 時(shí)間: 2025-3-27 20:36 作者: 抒情短詩(shī) 時(shí)間: 2025-3-28 00:29 作者: 伴隨而來 時(shí)間: 2025-3-28 05:04
Rethinking Resistance and Colonialism,ly PEE and MHM to embed the LSB of . to reserve space for secret data. Next, we encrypt the image and change the LSB of . to realize the embedding of secret data. In the process of extraction, the reversibility of image and secret data can be guaranteed. The utilization of correlation between neighb作者: Consensus 時(shí)間: 2025-3-28 10:15
Nandita Chaudhary,Shashi Shuklarovide a sparser prediction-error image for data embedding, and thus improves the performance of RDH. Experimental results have shown that the proposed method outperform the state-of-the-art error prediction algorithms.作者: invulnerable 時(shí)間: 2025-3-28 14:18
Convolutional Neural Network for Larger JPEG Images Steganalysis. 512, 1024 . 1024 and 2048 . 2048. For different application scenes, we take two methods to generate large samples. The result demonstrates that the proposed scheme can make directly training the steganalysis detectors on large images feasible.作者: Intentional 時(shí)間: 2025-3-28 14:43
Comparison of DCT and Gabor Filters in Residual Extraction of CNN Based JPEG Steganalysisrnable. It’s different from the conventional steganalysis method where Gabor filters have advantages over DCT filters. When the parameters of the pre-processing filters are learnable, both Gabor filter and DCT filter can achieve better performance compared with the condition where the parameters are作者: Dungeon 時(shí)間: 2025-3-28 18:50
Traitor Tracing After Visible Watermark Removallts prove that the watermark can be detected as long as the quality of the watermarked video is not significantly reduced, especially if the originally-distributed watermarked video has a high quality. Moreover, the watermark should be embedded into a video with sufficient motion. In conclusion, the作者: 欺騙世家 時(shí)間: 2025-3-28 23:30
Reversible Data Hiding in Encrypted Images Based on Image Partition and Spatial Correlationly PEE and MHM to embed the LSB of . to reserve space for secret data. Next, we encrypt the image and change the LSB of . to realize the embedding of secret data. In the process of extraction, the reversibility of image and secret data can be guaranteed. The utilization of correlation between neighb作者: 沉思的魚 時(shí)間: 2025-3-29 05:57
A Multiple Linear Regression Based High-Accuracy Error Prediction Algorithm for Reversible Data Hidirovide a sparser prediction-error image for data embedding, and thus improves the performance of RDH. Experimental results have shown that the proposed method outperform the state-of-the-art error prediction algorithms.作者: IRATE 時(shí)間: 2025-3-29 10:58 作者: HAWK 時(shí)間: 2025-3-29 14:13 作者: Scleroderma 時(shí)間: 2025-3-29 16:32 作者: endarterectomy 時(shí)間: 2025-3-29 22:26 作者: integrated 時(shí)間: 2025-3-30 01:43 作者: separate 時(shí)間: 2025-3-30 05:23
Pixel-Value-Ordering Based Reversible Data Hiding with Adaptive Texture Classification and Modificat less smooth ones are embedded with a lower number of bits. The block classification is dynamically adjusted to achieve the adaptive embedding with the best trade-off between the capacity and the embedding distortion. Experimental results show that the proposed method can give a better performance over the previous PVO-based methods.作者: 使成整體 時(shí)間: 2025-3-30 08:34 作者: 浮雕寶石 時(shí)間: 2025-3-30 14:52
Methods for Resin Polymerisation ways. Besides, inspired by the idea of residual learning, shortcut components are adopted in the proposed model. Extensive experiments with BOSSbase v1.01 and LIRMMBase are carried out, which demonstrates that our network is able to detect multiple state-of-the-art spatial embedding schemes with different payloads.
