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2015 IEEE International Conference on Computational Intelligence and Research (ICCIC)

作者： Prasad, Koyi Lakshmi Rao, T. Ch. Malleswara Kannan, V. Bharath Univ Dept CSE Madras Tamil Nadu India VBIT Dept CSE Hyderabad Andhra Pradesh India Bharath Univ Dept IT Madras Tamil Nadu India

ISBN: (纸本)9781479978496

In this research article the digital video watermarking technique is projected through a semi-blind pattern. The proposed method involves frame-spot matching model based on KAZE method at the initial stage, The KAZE method is deployed for matching the edge points of frame-spots with all video frames with the intention to detect the embedding and extract the respective regions. Then the frame entropy blocks are designated and converted by PCA (Principal Component Analysis) blocks. The QIM (quantization index modulation) is employed to quantize the highest coefficient values on each PCA entropy chunks of every sub-band. The single shared secure key is employed to recover the watermarked content. The DWT (Discrete Wavelet Transform) is applied on every single video frame and disintegrate into group of sub-bands. During extraction this is simply reversed;however the KAZE frame-spot is harmonized through each frame edge points. The parameters like rotation, scaling and translation are assessed and the watermarked evidence can be effectively extracted. The proposed pattern is verified using a numerous of video structures and compared with other similar models such as SURF, SIFT, PCA-SIFT, KAZE and perceived high optimal results. The investigational outcomes demonstrated high imperceptibility and high strength against numerous outbreaks like JPEG encoding, addition of Gaussian noise, gamma modification, histogram equality and contrast rectification in both forms of ordinary videos and clinical videos.

关键词： Semi blind watermarking KAZE PCA DWT quantization index modulation

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ROBUST AND RELIABLE AUDIO WATERMARKING BASED ON DYNAMIC PHASE CODING AND ERROR CONTROL CODING 23

ROBUST AND RELIABLE AUDIO WATERMARKING BASED ON DYNAMIC PHAS...

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23rd European Signal Processing Conference (EUSIPCO)

作者： Ngo, Nhut Minh Kurkoski, Brian Michael Unoki, Masashi Japan Adv Inst Sci & Technol Sch Informat Sci 1-1 Asahidai Nomi Ishikawa 9231292 Japan

ISBN: (纸本)9780992862633

This paper proposes an audio watermarking method based on dynamic phase coding and error control. coding. The technique of quantization index modulation is employed for embedding watermarks into the phase spectrum of audio signals. Since most of the audio information is distributed in moderately low frequencies, to increase robustness, this frequency region is chosen for embedding watermarks. Phase modification causes sound distortion in a manner that is proportional to the magnitude. Therefore, the amount of phase modification is adjusted according to the magnitude to balance inaudibility and robustness, Error control coding is incorporated to further increase reliability of watermark detection, The experimental results show that the watermarks could be kept inaudible in watermarked signals and robust against various attacks. Error control coding is effective in increasing watermark detection accuracy remarkably.

关键词： audio watermarking quantization index modulation inaudibility robustness error control coding

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Robust and reliable audio watermarking based on phase coding 40

Robust and reliable audio watermarking based on phase coding

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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015

作者： Ngo, Nhut Minh Unoki, Masashi School of Information Science Japan Advanced Institute of Science and Technology 1-1 Asahidai Nomi Ishikawa Japan

ISBN: (纸本)9781467369978

This paper proposes a novel robust audio watermarking method based on phase coding. The quantization index modulation technique is employed for embedding watermarks into the phase spectrum of audio signals. To increase robustness of the proposed method, the region of phase spectrum that is resistant against attacks is selected for embedding. We experimentally analyzed the phase spectrum to find out which region is not distorted under attacks. On the other hand, the quantization step size is suitably selected so that the modification of phase does not cause severe distortion in sound quality. The experimental results show that the watermarks could be kept inaudible in audio signals and robust against attacks. The proposed method has the ability to embed watermarks into audio signals up to 400 bits per second with a bit error rate of less than 1%. © 2015 IEEE.

关键词： audio watermarking phase coding quantization index modulation robustness

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New secure and robust audio watermarking algorithm based on QR factorization in wavelet domain

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INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING 2015年第3期13卷 1550020-1550020页

作者： Hemis, Mustapha Boudraa, Bachir Merazi-Meksen, Thouraya USTHB Fac Elect & Comp Sci Speech Commun & Signal Proc Lab Algiers 16111 Algeria

Digital watermarking consists in embedding imperceptible information into a host signal. It has been proposed to solve problems as varied as the protection of the copyright, content authentication, fingerprinting and broadcast monitoring. This paper presents a new approach for audio watermarking using the QR factorization in wavelet domain. This approach is based on embedding a watermark binary image in the R matrices of low frequency blocks DWT coefficients of audio signal. In this algorithm, the watermark is embedded by applying a quantization index modulation (QIM) process on the determined optimal sample for each matrix R. The watermark can be blindly extracted without the knowledge of the original audio signal. Experimental results show that the proposed audio watermarking scheme maintains high quality of the audio signal. Signal to Noise Ratio (SNR), Log Spectral Distortion (LSD) and Mean Opinion Score (MOS) are about 40 dB, 0.37 dB and 4.84, respectively. Moreover, the scheme is quite robust against common signal processing attacks such as noise addition, filtering and MP3 compression. In addition, this method ensures a secure extraction process by using a private key, making it suitable for secure applications such as copyright protection.

关键词： Audio watermarking data hiding multimedia security copyright protection discrete wavelet transform QR factorization quantization index modulation

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A NEW SECURE STEGANOGRAPHIC METHOD BASED ON PREDICTIVE CODING AND quantization index modulation

A NEW SECURE STEGANOGRAPHIC METHOD BASED ON PREDICTIVE CODIN...

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International Conference of Soft Computing and Pattern Recognition

作者： Izadinia, Hamid Sadeghi, Fereshteh Rahmati, Mohammad Amirkabir Univ Technol Comp Engn & Informat Technol Dept Tehran Iran

ISBN: (纸本)9781424453306

Steganography is a branch in the information hiding research area which aims to conceal data transmission between two parties. In this paper a new method based on predictive coding is proposed which employs quantization index modulation (QIM) for quantizing error values and embedding data simultaneously. Furthermore, a correction mechanism is proposed to preserve the histogram of the cover image and make it resistant against histogram-based attacks. To evaluate the performance of the proposed method, several experiments on gray-level images are carried out and compared with two prominent methods called Jsteg and Steganography Based on Predictive Coding (SBPC). The experimental results show that the proposed method achieves an efficient trade-off among imperceptibility, hiding capacity, compression ratio and robustness against malicious attacks.

关键词： Steganography predictive coding quantization index modulation histogram preserving

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An Intelligent Optimization Approach for Digital Image Watermarking in the Multi-Wavelet Domain

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International Journal of Business & Information 2015年第1期10卷 24-62页

作者： Kumsawat, Prayoth Attakitmongcol, Kitti Srikaew, Arthit School of Telecommunications Engineering Institute of Engineering Suranaree University of Technology Nakhon Ratchasima Thailand School of Electrical Engineering Institute of Engineering Suranaree University of Technology Nakhon Ratchasima Thailand

Digital watermarking is an effective method for copyright protection and for the data security of digital contents. In this paper, the authors propose a digital image watermarking algorithm in the multi-wavelet transform domain. The watermark is embedded in the selected coefficients using the quantization index modulation technique; therefore, the original image is not needed in the watermark extraction process. The authors develop an optimization technique using genetic algorithms to search for optimal quantization steps to improve the quality of the watermarked image and the robustness of the watermark. In addition, the authors construct a prediction model based on image moments and a back-propagation neural network to correct an attacked image geometrically before the watermark extraction process begins. Experimental results demonstrate that the proposed algorithm can achieve good perceptual invisibility and security. It is also robust against various common image processing and geometrical attacks. [ABSTRACT FROM AUTHOR]

关键词： genetic algorithms intellectual property rights multi-wavelet neural networks quantization index modulation Watermarking

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DOUBLE EMBEDDING IN THE quantization index modulation FRAMEWORK

DOUBLE EMBEDDING IN THE QUANTIZATION INDEX MODULATION FRAMEW...

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16th IEEE International Conference on Image Processing

作者： Sarkar, A. Manjunath, B. S. Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA

ISBN: (纸本)9781424456536

quantization index modulation (QIM) is a commonly used data hiding technique where a single bit is embedded per coefficient. Here, we propose the use of double embedding in the QIM framework where a single coefficient is modified twice, using two quantizers, to embed two bits. The motivation behind substituting single embedding with double embedding in the QIM framework for a certain steganographic scheme is to increase its hiding rate without significantly increasing the embedding distortion and the stego scheme's detectability against steganalysis. We empirically determine the best way to couple the double embedding framework with a repeat accumulate code based error correction scheme. For moderate noise levels, the use of double embedding is seen to be significantly advantageous over single embedding.

关键词： double embedding quantization index modulation repeat-accumulate code embedding distortion

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A New Steganographic Method Using quantization index modulation

A New Steganographic Method Using Quantization Index Modulat...

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International Conference on Computer and Automation Engineering

作者： Izadinia, Hamid Sadeghi, Fereshteh Rahmati, Mohammad Amirkabir Univ Technol Comp Engn & Informat Technol Dept Tehran Iran

ISBN: (纸本)9780769535692

Steganography is the art and science of hiding secret data to provide a safe communication between two parties and it is a prominent branch in the information hiding research area. This paper presents a new steganographic method based on predictive coding and embeds secret message in quantized error values via quantization index modulation (QIM). The proposed method is superior to previous methods in that it can make a satisfying balance among the most concerned criteria in steganography which are imperceptibility, hiding capacity, compression ratio and robustness against attacks. The performance of the proposed method is evaluated by several experiments on gray-level images with different textural properties. The new method is also compared with two renowned steganographic methods namely Jsteg and Steganography Based on Predictive Coding (SBPC). The results obtained from the experiments show that the proposed method has high visual quality and less histogram distortion while it has satisfactory compression ratio and embedding size.

关键词： Steganography watermarking quantization index modulation predictive coding

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ROBUST AND RELIABLE AUDIO WATERMARKING BASED ON DYNAMIC PHASE CODING AND ERROR CONTROL CODING

ROBUST AND RELIABLE AUDIO WATERMARKING BASED ON DYNAMIC PHAS...

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European Signal Processing Conference

作者： Nhut Minh Ngo Brian Michael Kurkoski Masashi Unoki School of Information Science Japan Advanced Institute of Science and Technology

ISBN: (纸本)9781479988518

This paper proposes an audio watermarking method based on dynamic phase coding and error control coding. The technique of quantization index modulation is employed for embedding watermarks into the phase spectrum of audio signals. Since most of the audio information is distributed in moderately low frequencies, to increase robustness, this frequency region is chosen for embedding watermarks. Phase modification causes sound distortion in a manner that is proportional to the magnitude. Therefore, the amount of phase modification is adjusted according to the magnitude to balance inaudibility and robustness. Error control coding is incorporated to further increase reliability of watermark detection. The experimental results show that the watermarks could be kept inaudible in watermarked signals and robust against various attacks. Error control coding is effective in increasing watermark detection accuracy remarkably.

关键词： Audio watermarking quantization index modulation Inaudibility Robustness Error control coding Error correction codes Watermarking Robustness Digital watermarking ERROR CONTROL phase spectrum Audio phase coding audio signals embedding

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QIM blind video watermarking scheme based on Wavelet transform and principal component analysis

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ALEXANDRIA ENGINEERING JOURNAL 2014年第4期53卷 833-842页

作者： Yassin, Nisreen I. Salem, Nancy M. El Adawy, Mohamed I. Natl Res Ctr Cairo Egypt Helwan Univ Fac Engn Dept Biomed Engn Helwan Egypt Helwan Univ Fac Engn Dept Comm Elect & Comp Helwan Egypt

In this paper, a blind scheme for digital video watermarking is proposed. The security of the scheme is established by using one secret key in the retrieval of the watermark. Discrete Wavelet Transform (DWT) is applied on each video frame decomposing it into a number of sub-bands. Maximum entropy blocks are selected and transformed using Principal Component Analysis (PCA). quantization index modulation (QIM) is used to quantize the maximum coefficient of the PCA blocks of each sub-band. Then, the watermark is embedded into the selected suitable quantizer values. The proposed scheme is tested using a number of video sequences. Experimental results show high imperceptibility. The computed average PSNR exceeds 45 dB. Finally, the scheme is applied on two medical videos. The proposed scheme shows high robustness against several attacks such as JPEG coding, Gaussian noise addition, histogram equalization, gamma correction, and contrast adjustment in both cases of regular videos and medical videos. (C) 2014 Production and hosting by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University.

关键词： Blind watermarking Principal Component Analysis Discrete Wavelet Transform Binary watermark Image entropy quantization index modulation

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