The Experts below are selected from a list of 38742 Experts worldwide ranked by ideXlab platform
Shi-jinn Horng - One of the best experts on this subject based on the ideXlab platform.
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a blind watermarking method using maximum Wavelet Coefficient quantization
Expert Systems With Applications, 2009Co-Authors: Yuhrau Wang, Shi-jinn HorngAbstract:This paper proposes a blind watermarking algorithm based on maximum Wavelet Coefficient quantization for copyright protection. The Wavelet Coefficients are grouped into different block size and blocks are randomly selected from different subbands. We add different energies to the maximum Wavelet Coefficient under the constraint that the maximum Wavelet Coefficient is always maximum in a block. The watermark is embedded the local maximum Coefficient which can effectively resist attacks. Also, using the block-based watermarking, we can extract the watermark without using the original image or watermark. Experimental results show that the proposed method is quite robust under either non-geometry or geometry attacks.
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a block based watermarking method using Wavelet Coefficient quantization
International Conference on Algorithms and Architectures for Parallel Processing, 2009Co-Authors: Yuhrau Wang, Shi-jinn HorngAbstract:A watermarking technique is referred to as blind if the original image is not needed for extraction. In this paper, a blind watermarking method based on discrete Wavelet transform (DWT) using maximum Wavelet Coefficient quantization is proposed. The Wavelet Coefficients are grouped into different block size with each block being randomly selected from different subbands. The watermark is embedded in the local maximum Coefficient which can effectively resist attacks. Experimental results show that the proposed method is quite robust under either non-geometry or geometry attacks .
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an efficient watermarking method based on significant difference of Wavelet Coefficient quantization
IEEE Transactions on Multimedia, 2008Co-Authors: Wei-hung Lin, Tzong-wann Kao, Cheng-ling Lee, Pingzhi Fan, Shi-jinn Horng, Yi PanAbstract:This paper proposes a blind watermarking algorithm based on the significant difference of Wavelet Coefficient quantization for copyright protection. Every seven nonoverlap Wavelet Coefficients of the host image are grouped into a block. The largest two Coefficients in a block are called significant Coefficients in this paper and their difference is called significant difference. We quantized the local maximum Wavelet Coefficient in a block by comparing the significant difference value in a block with the average significant difference value in all blocks. The maximum Wavelet Coefficients are so quantized that their significant difference between watermark bit 0 and watermark bit 1 exhibits a large energy difference which can be used for watermark extraction. During the extraction, an adaptive threshold value is designed to extract the watermark from the watermarked image under different attacks. We compare the adaptive threshold value to the significant difference which was quantized in a block to determine the watermark bit. The experimental results show that the proposed method is quite effective against JPEG compression, low-pass filtering, and Gaussian noise; the PSNR value of a watermarked image is greater than 40 dB.
Yi Pan - One of the best experts on this subject based on the ideXlab platform.
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an efficient watermarking method based on significant difference of Wavelet Coefficient quantization
IEEE Transactions on Multimedia, 2008Co-Authors: Wei-hung Lin, Tzong-wann Kao, Cheng-ling Lee, Pingzhi Fan, Shi-jinn Horng, Yi PanAbstract:This paper proposes a blind watermarking algorithm based on the significant difference of Wavelet Coefficient quantization for copyright protection. Every seven nonoverlap Wavelet Coefficients of the host image are grouped into a block. The largest two Coefficients in a block are called significant Coefficients in this paper and their difference is called significant difference. We quantized the local maximum Wavelet Coefficient in a block by comparing the significant difference value in a block with the average significant difference value in all blocks. The maximum Wavelet Coefficients are so quantized that their significant difference between watermark bit 0 and watermark bit 1 exhibits a large energy difference which can be used for watermark extraction. During the extraction, an adaptive threshold value is designed to extract the watermark from the watermarked image under different attacks. We compare the adaptive threshold value to the significant difference which was quantized in a block to determine the watermark bit. The experimental results show that the proposed method is quite effective against JPEG compression, low-pass filtering, and Gaussian noise; the PSNR value of a watermarked image is greater than 40 dB.
Yuhrau Wang - One of the best experts on this subject based on the ideXlab platform.
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a blind watermarking method using maximum Wavelet Coefficient quantization
Expert Systems With Applications, 2009Co-Authors: Yuhrau Wang, Shi-jinn HorngAbstract:This paper proposes a blind watermarking algorithm based on maximum Wavelet Coefficient quantization for copyright protection. The Wavelet Coefficients are grouped into different block size and blocks are randomly selected from different subbands. We add different energies to the maximum Wavelet Coefficient under the constraint that the maximum Wavelet Coefficient is always maximum in a block. The watermark is embedded the local maximum Coefficient which can effectively resist attacks. Also, using the block-based watermarking, we can extract the watermark without using the original image or watermark. Experimental results show that the proposed method is quite robust under either non-geometry or geometry attacks.
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a block based watermarking method using Wavelet Coefficient quantization
International Conference on Algorithms and Architectures for Parallel Processing, 2009Co-Authors: Yuhrau Wang, Shi-jinn HorngAbstract:A watermarking technique is referred to as blind if the original image is not needed for extraction. In this paper, a blind watermarking method based on discrete Wavelet transform (DWT) using maximum Wavelet Coefficient quantization is proposed. The Wavelet Coefficients are grouped into different block size with each block being randomly selected from different subbands. The watermark is embedded in the local maximum Coefficient which can effectively resist attacks. Experimental results show that the proposed method is quite robust under either non-geometry or geometry attacks .
Atilla Baskurt - One of the best experts on this subject based on the ideXlab platform.
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Hierarchical watermarking of semiregular meshes based on Wavelet transform
IEEE Transactions on Information Forensics and Security, 2008Co-Authors: Kai Wang, Guillaume Lavoué, Florence Denis, Atilla BaskurtAbstract:This paper presents a hierarchical watermarking framework for semiregular meshes. Three blind watermarks are inserted in a semiregular mesh with different purposes: a geometrically robust watermark for copyright protection, a high-capacity watermark for carrying a large amount of auxiliary information, and a fragile watermark for content authentication. The proposed framework is based on Wavelet transform of the semiregular mesh. More precisely, the three watermarks are inserted in different appropriate resolution levels obtained by Wavelet decomposition of the mesh: the robust watermark is inserted by modifying the norms of the Wavelet Coefficient vectors associated with the lowest resolution level; the fragile watermark is embedded in the high resolution level obtained just after one Wavelet decomposition by modifying the orientations and norms of the Wavelet Coefficient vectors; the high-capacity watermark is inserted in one or several intermediate levels by considering groups of Wavelet Coefficient vector norms as watermarking primitives. Experimental results demonstrate the effectiveness of the proposed framework: the robust watermark is able to resist all common geometric attacks even with a relatively strong amplitude; the fragile watermark is robust to content-preserving operations, while being sensitive to other attacks of which it can also provide the precise location; the payload of the high-capacity watermark increases rapidly along with the number of watermarking primitives.
Xie Dong-qing - One of the best experts on this subject based on the ideXlab platform.
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Wavelet Steganalysis Based on HMM in Wavelet Domain
Computer Engineering, 2010Co-Authors: Xie Dong-qingAbstract:A novel steganalysis method is proposed on the basis of 2-D Hidden Markov Model(HMM) in Wavelet domain which is employed to describe the statistics of Wavelet Coefficients precisely.By modeling Wavelet Coefficient with 2-D Wavelet HMM,classification features are constructed based on parameter sets of HMT forests.Experiments show the technology is applicable for the detection of Wavelet domain steganography,especially with higher detecting performance for QIM,MFP,BPCS steganography in Wavelet domain.
