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Your search keyword '"Lu, Zhe-Ming"' showing total 6 results
Start Over Author "Lu, Zhe-Ming" Topic reversible data hiding
6 results on '"Lu, Zhe-Ming"'

1. High Capacity Reversible Data Hiding for 3D Meshes in the PVQ Domain

Author

Lu, Zhe-Ming, Li, Zhen, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Shi, Yun Q., editor, Kim, Hyoung-Joong, editor, and Katzenbeisser, Stefan, editor

Published
2008
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4. Reversible Data Hiding for Block Truncation Coding Compressed Images Based on Prediction-Error Expansion.

Author

Wang, Kan, Hu, Yongjian, and Lu, Zhe-Ming

Abstract

In this paper, we propose a new reversible data hiding scheme for images compressed by Block Truncation Coding (BTC). The original image is divided into n × n sized non-overlapping blocks and encoded by BTC to obtain the BTC-compressed bitstream. Each block is presented by a low mean value, a high mean value and a binary bitmap. The proposed scheme exploits the correlation among adjacent blocks and embeds data into low mean value and high mean value by prediction-error expansion. Meanwhile, no additional overflow/underflow location map is required. For those blocks with the same low mean value and high mean value, data are embedded into the bitmaps. Experimental results show that the proposed scheme achieves high embedding capacity and great image quality. [ABSTRACT FROM PUBLISHER]

Published
2012
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5. A path optional lossless data hiding scheme based on VQ joint neighboring coding

Author

Wang, Jun-Xiang and Lu, Zhe-Ming

Subjects
*DATA protection, *DATA security, *IMAGE databases, *DATA conversion, *CODING theory, *EMBEDDED computer systems, *IMAGE reconstruction, *ELECTRONIC data processing, *IMAGE quality analysis, *CRYPTOGRAPHY
Abstract

Abstract: Data hiding is an important technique for covert communication that embeds secret data into a cover image with minimal perceptible degradation. Lossless data hiding is a special type of data hiding technique that guarantees not only the secret data but the cover media can be reconstructed without any distortion. In this paper, a novel path optional lossless data hiding scheme based on the joint neighboring coding (JNC) of the vector quantization (VQ) index table is proposed. The proposed scheme generates a VQ index table based on the cover image first. Next, according to an initial key and secret data content, different adjacent indices may be chosen to perform joint neighboring coding for each index and hide secret data. Finally, an appropriate output codestream is generated based on the minimal length principle. Our main contributions lie in three aspects: (1) the method combines the novel path_based shift method with the traditional JNC method to improve the capacity and stego image quality simultaneously. (2) The secret data extraction and cover image recovering processes are separated and both can be publicized to users. (3) The method is path optional to meet various users’ requirements. To testify the superiority of the proposed method, we compare it with the side match VQ (SMVQ)-based and modified fast correlation VQ (MFCVQ)-based algorithms. According to the experimental results, the proposed scheme outperforms the SMVQ-based and MFCVQ-based algorithms in four aspects, i.e., hiding capacity, stego image quality, transmission efficiency and security level. [Copyright &y& Elsevier]

Published
2009
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6. Reversible data hiding based on multilevel histogram modification and sequential recovery

Author

Zhao, Zhenfei, Luo, Hao, Lu, Zhe-Ming, and Pan, Jeng-Shyang

Subjects
*ELECTRONIC data processing, *DIGITAL images, *PIXELS, *EMBEDDINGS (Mathematics), *DATA extraction, *PERFORMANCE evaluation
Abstract

Abstract: This paper proposes a reversible data hiding method for natural images. Due to the similarity of neighbor pixels’ values, most differences between pairs of adjacent pixels are equal or close to zero. In this work, a histogram is constructed based on these difference statistics. In the data embedding stage, a multilevel histogram modification mechanism is employed. As more peak points are used for secret bits modulation, the hiding capacity is enhanced compared with those conventional methods based on one or two level histogram modification. Moreover, as the differences concentricity around zero is improved, the distortions on the host image introduced by secret content embedding is mitigated. In the data extraction and image recovery stage, the embedding level instead of the peak points and zero points is used. Accordingly the affiliated information is much smaller than in those methods of the kind. A sequential recovery strategy is exploited for each pixel is reconstructed with the aid of its previously recovered neighbor. Experimental results and comparisons with other methods demonstrate our method''s effectiveness and superior performance. [Copyright &y& Elsevier]

Published
2011
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