The Experts below are selected from a list of 210 Experts worldwide ranked by ideXlab platform

Laurence B. Milstein - One of the best experts on this subject based on the ideXlab platform.

  • Spread Spectrum Access Methods for Wireless Communications
    IEEE Communications Magazine, 1995
    Co-Authors: Ryuji Kohno, Reuven Meidan, Laurence B. Milstein
    Abstract:

    Efficient image watermark calls for full exploitation of the perceptual distortion constraint. Second-order statistics of visual stimuli are regarded as critical features for perception. This paper proposes a second-order statistics (SOS) based image quality Metric, which considers the texture masking effect and the contrast sensitivity in Karhunen-Loève transform domain. Compared with the state-of-the-art Metrics, the quality prediction by SOS better correlates with several subjectively-rated image databases, in which the images are impaired by the typical coding and watermarking artifacts. With the explicit Metric Definition, spread spectrum watermarking is posed as an optimization problem: we search for a watermark to minimize the distortion of the watermarked image and to maximize the correlation between the watermark pattern and the spread spectrum carrier. The simple Metric guarantee the optimal watermark a closed form solution and a fast implementation. The experiments show that the proposed watermarking scheme can take full advantage of the distortion constraint and improve the robustness in return.

Daniel Curiac - One of the best experts on this subject based on the ideXlab platform.

  • Scalable Metric for coverage evaluation in video-based wireless sensor networks
    2009 5th International Symposium on Applied Computational Intelligence and Informatics, 2009
    Co-Authors: Dan Pescaru, Codruta Istin, Florica Naghiu, Madalin Gavrilescu, Daniel Curiac
    Abstract:

    One of the most important aspects of wireless sensor networks applications is the network lifetime. A possibility of prolonging lifetime is to turn off some sensors, especially in dense deployed networks with high redundancy. However, to keep the application effectiveness a certain amount of coverage is needed. The coverage is usually quantized by various Metrics. In this paper we propose a scalable Metric to evaluate in a distributive manner the coverage in dense deployed video-based wireless sensor networks. It allows qualifying the coverage efficiency especially in case of surveillance applications. Metric Definition is based on video-sensors field-of-view and it relays on network clustering infrastructure. Simulation results are presented to demonstrate this approach.

  • SACI - Scalable Metric for coverage evaluation in video-based wireless sensor networks
    2009 5th International Symposium on Applied Computational Intelligence and Informatics, 2009
    Co-Authors: Dan Pescaru, Codruta Istin, Florica Naghiu, Madalin Gavrilescu, Daniel Curiac
    Abstract:

    One of the most important aspects of wireless sensor networks applications is the network lifetime. A possibility of prolonging lifetime is to turn off some sensors, especially in dense deployed networks with high redundancy. However, to keep the application effectiveness a certain amount of coverage is needed. The coverage is usually quantized by various Metrics. In this paper we propose a scalable Metric to evaluate in a distributive manner the coverage in dense deployed video-based wireless sensor networks. It allows qualifying the coverage efficiency especially in case of surveillance applications. Metric Definition is based on video-sensors field-of-view and it relays on network clustering infrastructure. Simulation results are presented to demonstrate this approach.

King Ngi Ngan - One of the best experts on this subject based on the ideXlab platform.

  • Spread spectrum image watermarking based on perceptual quality Metric.
    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 2011
    Co-Authors: Fan Zhang, Wenyu Liu, Weisi Lin, King Ngi Ngan
    Abstract:

    Efficient image watermarking calls for full exploitation of the perceptual distortion constraint. Second-order statistics of visual stimuli are regarded as critical features for perception. This paper proposes a second-order statistics (SOS)-based image quality Metric, which considers the texture masking effect and the contrast sensitivity in Karhunen-Loève transform domain. Compared with the state-of-the-art Metrics, the quality prediction by SOS better correlates with several subjectively rated image databases, in which the images are impaired by the typical coding and watermarking artifacts. With the explicit Metric Definition, spread spectrum watermarking is posed as an optimization problem: we search for a watermark to minimize the distortion of the watermarked image and to maximize the correlation between the watermark pattern and the spread spectrum carrier. The simple Metric guarantees the optimal watermark a closed-form solution and a fast implementation. The experiments show that the proposed watermarking scheme can take full advantage of the distortion constraint and improve the robustness in return.

Lukas Smolarik - One of the best experts on this subject based on the ideXlab platform.

  • SISY - Metric proposal for system testing models verification for safety critical systems
    2013 IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY), 2013
    Co-Authors: Lukas Spendla, Pavol Tanuska, Lukas Smolarik
    Abstract:

    The main goal of this article is the verification of the system testing models for safety critical systems. The proposal is focused on selection of appropriate Metric for verification of these models. Proposed Metric is based on standard Metrics for software systems and is defined according to ISO 9126 standard. Our proposal captures the process of Metric Definition and demonstrates the usability of the proposed Metric on performance testing model.

  • Metric proposal for system testing models verification for safety critical systems
    2013 IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY), 2013
    Co-Authors: Lukas Spendla, Pavol Tanuska, Lukas Smolarik
    Abstract:

    The main goal of this article is the verification of the system testing models for safety critical systems. The proposal is focused on selection of appropriate Metric for verification of these models. Proposed Metric is based on standard Metrics for software systems and is defined according to ISO 9126 standard. Our proposal captures the process of Metric Definition and demonstrates the usability of the proposed Metric on performance testing model.

Ryuji Kohno - One of the best experts on this subject based on the ideXlab platform.

  • Spread Spectrum Access Methods for Wireless Communications
    IEEE Communications Magazine, 1995
    Co-Authors: Ryuji Kohno, Reuven Meidan, Laurence B. Milstein
    Abstract:

    Efficient image watermark calls for full exploitation of the perceptual distortion constraint. Second-order statistics of visual stimuli are regarded as critical features for perception. This paper proposes a second-order statistics (SOS) based image quality Metric, which considers the texture masking effect and the contrast sensitivity in Karhunen-Loève transform domain. Compared with the state-of-the-art Metrics, the quality prediction by SOS better correlates with several subjectively-rated image databases, in which the images are impaired by the typical coding and watermarking artifacts. With the explicit Metric Definition, spread spectrum watermarking is posed as an optimization problem: we search for a watermark to minimize the distortion of the watermarked image and to maximize the correlation between the watermark pattern and the spread spectrum carrier. The simple Metric guarantee the optimal watermark a closed form solution and a fast implementation. The experiments show that the proposed watermarking scheme can take full advantage of the distortion constraint and improve the robustness in return.