Benign
发表于 2025-3-26 21:49:18
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
OFF
发表于 2025-3-27 01:16:54
https://doi.org/10.1007/978-3-030-11389-6cryptography; digital forensics; watermarking; steganalysis; steganography; security service; data hiding;
恩惠
发表于 2025-3-27 05:57:03
978-3-030-11388-9Springer Nature Switzerland AG 2019
含水层
发表于 2025-3-27 12:36:53
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constellation
发表于 2025-3-27 13:36:45
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相信
发表于 2025-3-27 20:36:03
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抒情短诗
发表于 2025-3-28 00:29:45
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伴随而来
发表于 2025-3-28 05:04:07
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
Consensus
发表于 2025-3-28 10:15:08
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.
invulnerable
发表于 2025-3-28 14:18:10
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.