The Experts below are selected from a list of 90 Experts worldwide ranked by ideXlab platform

J. Kowalski - One of the best experts on this subject based on the ideXlab platform.

  • 0.8 /spl mu/m CMOS implementation of weighted-order statistic image filter based on cellular neural network architecture
    IEEE transactions on neural networks, 2003
    Co-Authors: J. Kowalski
    Abstract:

    In this paper, a very large scale integration chip of an analog image weighted-order statistic (WOS) filter based on cellular neural network (CNN) architecture for real-time applications is described. The chip has been implemented in CMOS AMS 0.8 /spl mu/m technology. CNN-based filter consists of feedforward nonlinear template B operating within the window of 3 /spl times/ 3 pixels around the central pixel being filtered. The feedforward nonlinear CNN coefficients have been realized using programmable nonlinear coupler circuits. The WOS filter chip allows for processing of images with 300 pixels horizontal resolution. The resolution can be increased by cascading of the chips. Experimental results of basic circuit building blocks measurements are presented. Functional tests of the chip have been performed using a special test setup for PAL Composite Video Signal processing. Using the setup real images have been filtered by WOS filter chip under test.

  • ICIP (2) - Weighted order statistic image filter chip based on cellular neural network architecture
    Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 1
    Co-Authors: J. Kowalski
    Abstract:

    This paper describes a VLSI chip of an analog image weighted order statistic (WOS) filter based on cellular neural network (CNN) architecture for real-time applications. The chip has been implemented in CMOS AMS 0.8 /spl mu/m CYE technology. This filter consists of feedforward nonlinear template B operating within the window of 3 by 3 pixels around the central pixel being filtered. The feedforward nonlinear CNN coefficients have been realized using programmable nonlinear coupler circuits. The WOS filter chip allows for processing of images with 300 pixels horizontal resolution. Functional tests of the chip have been performed using a special test set-up for PAL Composite Video Signal processing. Using the set-up real images have been filtered by WOS filter chip under test.

P. Cohen - One of the best experts on this subject based on the ideXlab platform.

  • ICIP (2) - A NTSC-compatible compact representation for stereoscopic sequences
    Proceedings of 3rd IEEE International Conference on Image Processing, 1996
    Co-Authors: F. Labonte, C.t. Le Dinh, P. Cohen
    Abstract:

    This paper describes a new spectral compaction method for interlaced stereoscopic sequences which combines the stereo information into the spectral space of a single NTSC Video channel. The method makes use of the variable spatial and stereoscopic resolution of the human visual system and relies upon the determination of an area of fixation. Spectral compaction is achieved by retaining only the high-frequency information associated with this area. A Composite Video Signal is formed by combining the lowpass, highpass and chrominance components of both channels into the available spectral space by means of modulation and filtering operations. Compatibility of the Composite Video Signal with the NTSC standard is ensured by using the same colour subcarrier for the chrominance components of one channel and a second subcarrier whose phase is inverted on alternate fields to place the chrominance components of the second channel into the Fukinuki holes. Good quality results are obtained with relatively simple separable FIR filters.

  • ICPR - A compact representation for stereoscopic sequences with NTSC spectral compatibility
    Proceedings of 13th International Conference on Pattern Recognition, 1996
    Co-Authors: F. Labonte, C.t. Le Dinh, P. Cohen
    Abstract:

    This paper describes a new compression method for interlaced stereoscopic image sequences, which compacts the stereo information into the spectral space of a single NTSC channel. The left and right fields of the stereoscopic pairs are each decomposed into a lowpass and a highpass components. High-frequency components are limited to an area of fixation, thus allowing a reduction of their spectral extent. A Composite Video Signal is then formed by positioning the different components in the available spectral space through filtering and modulation. Compatibility of the produced Signal with the NTSC standard is ensured by using the same spectral region for the chrominance information and the same colour subcarrier. Good quality results are obtained with relatively simple 2D separable spatial filters at a reasonable computational cost.

Ronald M. Harper - One of the best experts on this subject based on the ideXlab platform.

  • Low-cost acquisition of Video images simultaneously with 240 electrophysiological Signals
    Journal of neuroscience methods, 1994
    Co-Authors: D. M. Rector, Ronald M. Harper
    Abstract:

    We developed a low-cost system for simultaneous collection and storage of physiological and Video Signals. The system samples and multiplexes up to 240 low-bandwidth analog channels with a camera Video Signal, and outputs a standard Composite Video Signal containing analog and Video data. The combined Signals can be stored on Video tape or can be digitized by an inexpensive framegrabber. The circuitry separates horizontal synchronizing pulses from a camera output; the pulses increment a counter that sequentially selects each electrophysiological channel on a sample-and-hold multiplexer. The intensity of each horizontal scan line from the multiplexer output represents the amplitude of one sample of each physiological channel. This Signal is then multiplexed with the Video Signal, such that a portion of each Video horizontal line represents the physiological data. The combined output is stored together, providing a means for synchronizing the two Signals during analysis. The design allows easy coordination of electrophysiological events with Video images from a standard Video camera, avoiding the necessity for separate analog to digital circuitry for physiological and Video Signal storage on computer media, as well as the need for complex synchronization of the data from different media.

F. Labonte - One of the best experts on this subject based on the ideXlab platform.

  • ICIP (2) - A NTSC-compatible compact representation for stereoscopic sequences
    Proceedings of 3rd IEEE International Conference on Image Processing, 1996
    Co-Authors: F. Labonte, C.t. Le Dinh, P. Cohen
    Abstract:

    This paper describes a new spectral compaction method for interlaced stereoscopic sequences which combines the stereo information into the spectral space of a single NTSC Video channel. The method makes use of the variable spatial and stereoscopic resolution of the human visual system and relies upon the determination of an area of fixation. Spectral compaction is achieved by retaining only the high-frequency information associated with this area. A Composite Video Signal is formed by combining the lowpass, highpass and chrominance components of both channels into the available spectral space by means of modulation and filtering operations. Compatibility of the Composite Video Signal with the NTSC standard is ensured by using the same colour subcarrier for the chrominance components of one channel and a second subcarrier whose phase is inverted on alternate fields to place the chrominance components of the second channel into the Fukinuki holes. Good quality results are obtained with relatively simple separable FIR filters.

  • ICPR - A compact representation for stereoscopic sequences with NTSC spectral compatibility
    Proceedings of 13th International Conference on Pattern Recognition, 1996
    Co-Authors: F. Labonte, C.t. Le Dinh, P. Cohen
    Abstract:

    This paper describes a new compression method for interlaced stereoscopic image sequences, which compacts the stereo information into the spectral space of a single NTSC channel. The left and right fields of the stereoscopic pairs are each decomposed into a lowpass and a highpass components. High-frequency components are limited to an area of fixation, thus allowing a reduction of their spectral extent. A Composite Video Signal is then formed by positioning the different components in the available spectral space through filtering and modulation. Compatibility of the produced Signal with the NTSC standard is ensured by using the same spectral region for the chrominance information and the same colour subcarrier. Good quality results are obtained with relatively simple 2D separable spatial filters at a reasonable computational cost.

D. M. Rector - One of the best experts on this subject based on the ideXlab platform.

  • Low-cost acquisition of Video images simultaneously with 240 electrophysiological Signals
    Journal of neuroscience methods, 1994
    Co-Authors: D. M. Rector, Ronald M. Harper
    Abstract:

    We developed a low-cost system for simultaneous collection and storage of physiological and Video Signals. The system samples and multiplexes up to 240 low-bandwidth analog channels with a camera Video Signal, and outputs a standard Composite Video Signal containing analog and Video data. The combined Signals can be stored on Video tape or can be digitized by an inexpensive framegrabber. The circuitry separates horizontal synchronizing pulses from a camera output; the pulses increment a counter that sequentially selects each electrophysiological channel on a sample-and-hold multiplexer. The intensity of each horizontal scan line from the multiplexer output represents the amplitude of one sample of each physiological channel. This Signal is then multiplexed with the Video Signal, such that a portion of each Video horizontal line represents the physiological data. The combined output is stored together, providing a means for synchronizing the two Signals during analysis. The design allows easy coordination of electrophysiological events with Video images from a standard Video camera, avoiding the necessity for separate analog to digital circuitry for physiological and Video Signal storage on computer media, as well as the need for complex synchronization of the data from different media.