Visual Signal

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The Experts below are selected from a list of 285 Experts worldwide ranked by ideXlab platform

Amy R Reibman - One of the best experts on this subject based on the ideXlab platform.

  • perceptual Visual Signal compression and transmission
    Proceedings of the IEEE, 2013
    Co-Authors: Amy R Reibman, Weisi Lin, F Pereira, S S Hemami
    Abstract:

    One- and two-way communication with digital compressed Visual Signals is now an integral part of the daily life of millions. Such commonplace use has been realized by decades of advances in Visual Signal compression. The design of effective, efficient compression and transmission strategies for Visual Signals may benefit from proper incorporation of human Visual system (HVS) characteristics. This paper overviews psychophysics and engineering associated with the communication of Visual Signals. It presents a short history of advances in perceptual Visual Signal compression, and describes perceptual models and how they are embedded into systems for compression and transmission, both with and without current compression standards.

  • Perceptual Visual Signal Compression and Transmission An overview of Visual coding and transmission systems that integrate human perception aspects is presented in this paper.
    2013
    Co-Authors: Amy R Reibman, Weisi Lin, F Pereira, S S Hemami
    Abstract:

    One- and two-way communication with digital compressedVisualSignalsisnowanintegralpartofthedailylife of millions. Such commonplace use has been realized by decades of advances in Visual Signal compression. The design of effective, efficient compression and transmission strategies for Visual Signals may benefit from proper incorporation of human Visual system (HVS) characteristics. This paper over- views psychophysics and engineering associated with the communication of Visual Signals. It presents a short history of advances in perceptual Visual Signal compression, and de- scribes perceptual models and how they are embedded into systems for compression and transmission, both with and without current compression standards.

  • Introduction to the Special Issue on New Subjective and Objective Methodologies for Audio and Visual Signal Processing
    IEEE Journal of Selected Topics in Signal Processing, 2012
    Co-Authors: Weisi Lin, Touradj Ebrahimi, Philip C. Loizou, Sebastian Möller, Amy R Reibman
    Abstract:

    The nine papers in this special issue report the latest findings in subjective and objective methodologies for audio and Visual Signal processing.

Weisi Lin - One of the best experts on this subject based on the ideXlab platform.

  • perceptual Visual Signal compression and transmission
    Proceedings of the IEEE, 2013
    Co-Authors: Amy R Reibman, Weisi Lin, F Pereira, S S Hemami
    Abstract:

    One- and two-way communication with digital compressed Visual Signals is now an integral part of the daily life of millions. Such commonplace use has been realized by decades of advances in Visual Signal compression. The design of effective, efficient compression and transmission strategies for Visual Signals may benefit from proper incorporation of human Visual system (HVS) characteristics. This paper overviews psychophysics and engineering associated with the communication of Visual Signals. It presents a short history of advances in perceptual Visual Signal compression, and describes perceptual models and how they are embedded into systems for compression and transmission, both with and without current compression standards.

  • Perceptual Visual Signal Compression and Transmission An overview of Visual coding and transmission systems that integrate human perception aspects is presented in this paper.
    2013
    Co-Authors: Amy R Reibman, Weisi Lin, F Pereira, S S Hemami
    Abstract:

    One- and two-way communication with digital compressedVisualSignalsisnowanintegralpartofthedailylife of millions. Such commonplace use has been realized by decades of advances in Visual Signal compression. The design of effective, efficient compression and transmission strategies for Visual Signals may benefit from proper incorporation of human Visual system (HVS) characteristics. This paper over- views psychophysics and engineering associated with the communication of Visual Signals. It presents a short history of advances in perceptual Visual Signal compression, and de- scribes perceptual models and how they are embedded into systems for compression and transmission, both with and without current compression standards.

  • ISCAS - Overview of quality assessment for Visual Signals and newly emerged trends
    2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
    Co-Authors: Chenwei Deng, Ngi Ngan, Weisi Lin
    Abstract:

    Quality assessment is not only essential on its own for testing, optimizing, benchmarking, monitoring and inspecting related systems and services, but also plays an essential role in the design of virtually all Visual Signal processing and communication algorithms, as well as various related decision making processes. In the paper, we provide an overview of the quality assessment approaches for traditional Visual Signals, as well as the newly emerged ones, which covers the subjective quality evaluation and objective quality metrics of scalable and mobile videos, high dynamic range (HDR) images, image segmentation results, 3D images/videos, and retargeted images. Also the challenges for designing effective quality metrics and corresponding applications are discussed.

  • Introduction to the Special Issue on New Subjective and Objective Methodologies for Audio and Visual Signal Processing
    IEEE Journal of Selected Topics in Signal Processing, 2012
    Co-Authors: Weisi Lin, Touradj Ebrahimi, Philip C. Loizou, Sebastian Möller, Amy R Reibman
    Abstract:

    The nine papers in this special issue report the latest findings in subjective and objective methodologies for audio and Visual Signal processing.

S S Hemami - One of the best experts on this subject based on the ideXlab platform.

  • perceptual Visual Signal compression and transmission
    Proceedings of the IEEE, 2013
    Co-Authors: Amy R Reibman, Weisi Lin, F Pereira, S S Hemami
    Abstract:

    One- and two-way communication with digital compressed Visual Signals is now an integral part of the daily life of millions. Such commonplace use has been realized by decades of advances in Visual Signal compression. The design of effective, efficient compression and transmission strategies for Visual Signals may benefit from proper incorporation of human Visual system (HVS) characteristics. This paper overviews psychophysics and engineering associated with the communication of Visual Signals. It presents a short history of advances in perceptual Visual Signal compression, and describes perceptual models and how they are embedded into systems for compression and transmission, both with and without current compression standards.

  • Perceptual Visual Signal Compression and Transmission An overview of Visual coding and transmission systems that integrate human perception aspects is presented in this paper.
    2013
    Co-Authors: Amy R Reibman, Weisi Lin, F Pereira, S S Hemami
    Abstract:

    One- and two-way communication with digital compressedVisualSignalsisnowanintegralpartofthedailylife of millions. Such commonplace use has been realized by decades of advances in Visual Signal compression. The design of effective, efficient compression and transmission strategies for Visual Signals may benefit from proper incorporation of human Visual system (HVS) characteristics. This paper over- views psychophysics and engineering associated with the communication of Visual Signals. It presents a short history of advances in perceptual Visual Signal compression, and de- scribes perceptual models and how they are embedded into systems for compression and transmission, both with and without current compression standards.

Ryozo Aoki - One of the best experts on this subject based on the ideXlab platform.

  • Suprathreshold stochastic resonance in Visual Signal detection.
    Behavioural brain research, 2008
    Co-Authors: Hitoshi Sasaki, Sadatsugu Sakane, Takuya Ishida, Masayoshi Todorokihara, Tahei Kitamura, Ryozo Aoki
    Abstract:

    The present study aimed to demonstrate stochastic resonance (SR) for a Visual Signal above the threshold by using a two-alternative forced-choice protocol. The percent correct response enhanced at non-zero intensity of noise, while decreased with more intense noise. SR for the suprathreshold Signals was found for Signals with relatively low intensity above the threshold, and disappeared for more intense Signals. These findings show the suprathreshold SR in the Visual perception.

S S Hemami - One of the best experts on this subject based on the ideXlab platform.

  • vsnr a wavelet based Visual Signal to noise ratio for natural images
    IEEE Transactions on Image Processing, 2007
    Co-Authors: Damon M Chandler, S S Hemami
    Abstract:

    This paper presents an efficient metric for quantifying the Visual fidelity of natural images based on near-threshold and suprathreshold properties of human vision. The proposed metric, the Visual Signal-to-noise ratio (VSNR), operates via a two-stage approach. In the first stage, contrast thresholds for detection of distortions in the presence of natural images are computed via wavelet-based models of Visual masking and Visual summation in order to determine whether the distortions in the distorted image are visible. If the distortions are below the threshold of detection, the distorted image is deemed to be of perfect Visual fidelity (VSNR = infin)and no further analysis is required. If the distortions are suprathreshold, a second stage is applied which operates based on the low-level Visual property of perceived contrast, and the mid-level Visual property of global precedence. These two properties are modeled as Euclidean distances in distortion-contrast space of a multiscale wavelet decomposition, and VSNR is computed based on a simple linear sum of these distances. The proposed VSNR metric is generally competitive with current metrics of Visual fidelity; it is efficient both in terms of its low computational complexity and in terms of its low memory requirements; and it operates based on physical luminances and Visual angle (rather than on digital pixel values and pixel-based dimensions) to accommodate different viewing conditions.