Said Hijazi - Academia.edu (original) (raw)
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Papers by Said Hijazi
Lecture Notes in Computer Science, 2014
ABSTRACT In multimedia protection processes, quantization based watermarking schemes are widely u... more ABSTRACT In multimedia protection processes, quantization based watermarking schemes are widely used. For these processes, the proposed watermarking solutions offer robust approaches for copyright protection. Unfortunately in key-less solutions, the additional hidden information (watermark) is, statistically detectable by unauthorized users, and thus they are correctly informed on the documents to be attacked or not. In this paper, we present a compressive sensing based watermarking solution able to mark digital pictures increasing statistical invisibility for attackers: the attacker will falsely conclude to a non-watermarked document with high probability. We discuss the way of using compressive sensing on the host signal for watermarking purpose. We describe a solution allowing to obtain a watermarking scheme based on compressive sensing with interesting properties for images protection processes. All the watermarking performances are discussed for three criteria robustness, statistical invisibility and capacity in order to look for the best trade-off. All the analysis are validated on digital image databases.
Lecture Notes in Computer Science, 2014
ABSTRACT In multimedia protection processes, quantization based watermarking schemes are widely u... more ABSTRACT In multimedia protection processes, quantization based watermarking schemes are widely used. For these processes, the proposed watermarking solutions offer robust approaches for copyright protection. Unfortunately in key-less solutions, the additional hidden information (watermark) is, statistically detectable by unauthorized users, and thus they are correctly informed on the documents to be attacked or not. In this paper, we present a compressive sensing based watermarking solution able to mark digital pictures increasing statistical invisibility for attackers: the attacker will falsely conclude to a non-watermarked document with high probability. We discuss the way of using compressive sensing on the host signal for watermarking purpose. We describe a solution allowing to obtain a watermarking scheme based on compressive sensing with interesting properties for images protection processes. All the watermarking performances are discussed for three criteria robustness, statistical invisibility and capacity in order to look for the best trade-off. All the analysis are validated on digital image databases.
The growth of wireless communication continues. There is a demand for more user capacity from new... more The growth of wireless communication continues. There is a demand for more user capacity from new subscribers and new services such as wireless internet. In order to meet these expectations new and improved technology must be developed. A way to increase the capacity of an existing mobile radio network is to exploit the spatial domain in an efficient way. An antenna array adds spatial domain selectivity in order to improve the Carrier-to-Interference ratio (C/I) as well as Signal-to-Noise Ratio (SNR). An adaptive antenna array can further improve the Carrier-to-Interference ratio (C/I) by suppressing interfering signals and steer a beam towards the user. The suggested scheme is a combination of a beamformer and an interference canceller.
Lecture Notes in Computer Science, 2014
ABSTRACT In multimedia protection processes, quantization based watermarking schemes are widely u... more ABSTRACT In multimedia protection processes, quantization based watermarking schemes are widely used. For these processes, the proposed watermarking solutions offer robust approaches for copyright protection. Unfortunately in key-less solutions, the additional hidden information (watermark) is, statistically detectable by unauthorized users, and thus they are correctly informed on the documents to be attacked or not. In this paper, we present a compressive sensing based watermarking solution able to mark digital pictures increasing statistical invisibility for attackers: the attacker will falsely conclude to a non-watermarked document with high probability. We discuss the way of using compressive sensing on the host signal for watermarking purpose. We describe a solution allowing to obtain a watermarking scheme based on compressive sensing with interesting properties for images protection processes. All the watermarking performances are discussed for three criteria robustness, statistical invisibility and capacity in order to look for the best trade-off. All the analysis are validated on digital image databases.
Lecture Notes in Computer Science, 2014
ABSTRACT In multimedia protection processes, quantization based watermarking schemes are widely u... more ABSTRACT In multimedia protection processes, quantization based watermarking schemes are widely used. For these processes, the proposed watermarking solutions offer robust approaches for copyright protection. Unfortunately in key-less solutions, the additional hidden information (watermark) is, statistically detectable by unauthorized users, and thus they are correctly informed on the documents to be attacked or not. In this paper, we present a compressive sensing based watermarking solution able to mark digital pictures increasing statistical invisibility for attackers: the attacker will falsely conclude to a non-watermarked document with high probability. We discuss the way of using compressive sensing on the host signal for watermarking purpose. We describe a solution allowing to obtain a watermarking scheme based on compressive sensing with interesting properties for images protection processes. All the watermarking performances are discussed for three criteria robustness, statistical invisibility and capacity in order to look for the best trade-off. All the analysis are validated on digital image databases.
The growth of wireless communication continues. There is a demand for more user capacity from new... more The growth of wireless communication continues. There is a demand for more user capacity from new subscribers and new services such as wireless internet. In order to meet these expectations new and improved technology must be developed. A way to increase the capacity of an existing mobile radio network is to exploit the spatial domain in an efficient way. An antenna array adds spatial domain selectivity in order to improve the Carrier-to-Interference ratio (C/I) as well as Signal-to-Noise Ratio (SNR). An adaptive antenna array can further improve the Carrier-to-Interference ratio (C/I) by suppressing interfering signals and steer a beam towards the user. The suggested scheme is a combination of a beamformer and an interference canceller.