Enthralling
发表于 2025-3-25 05:44:40
P. Savithri,R. Perumal,R. Nagarajanerminals should not be ignored as well. In this paper, we investigate the color mixture model of a well-known psychophysical phenomenon: “persistence of vision”, and propose a new display technology which presents secret and cheating information at the same time. Unauthorized viewers only see the ch
变白
发表于 2025-3-25 10:36:40
V. Balasubramanian,J. K. Ladha,G. L. Denning design. However, most of the previous RG-based threshold VSS still suffer from low visual quality or worse reconstructed secrets when more shares are stacked. In this paper, a new RG-based VSS with improved visual quality is proposed. The random bits are utilized to improve the visual quality as we
Colonnade
发表于 2025-3-25 12:59:00
Resource Management and Transport Layer information. In this paper, we propose a (., .)-HVCS using complementary cover images. Before the halftone processing of the cover images by error diffusion, secret information pixels (SIPs) are prefixed based on the underlying (., .)-VCS. In the halftone processing, several pairs of complementary
RENIN
发表于 2025-3-25 17:49:47
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溃烂
发表于 2025-3-25 23:45:20
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指数
发表于 2025-3-26 00:43:37
978-3-319-53464-0Springer International Publishing AG 2017
消散
发表于 2025-3-26 07:50:14
Digital Forensics and Watermarking978-3-319-53465-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
倔强一点
发表于 2025-3-26 08:59:42
Using Benford’s Law Divergence and Neural Networks for Classification and Source Identification of B Benford’s law are used as input features for a Neural Network for the classification and source identification of biometric images. Experimental analysis shows that the classification and identification of the source of the biometric images can achieve good accuracies between the range of 90.02% and 100%.
STELL
发表于 2025-3-26 13:37:30
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Cabg318
发表于 2025-3-26 19:35:21
Random Grids-Based Threshold Visual Secret Sharing with Improved Visual Quality stacked. In this paper, a new RG-based VSS with improved visual quality is proposed. The random bits are utilized to improve the visual quality as well as to decrease the darkness of the reconstructed secret image in the proposed scheme. Experimental results and analyses show the effectiveness of the proposed scheme.