The delta operator approach to continuous-time cellular neural networks (CT-CNNs) is investigated in terms of a robust realization. It is shown that earlier results concerning the robustness of CT-CNNs can be obtained...
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The delta operator approach to continuous-time cellular neural networks (CT-CNNs) is investigated in terms of a robust realization. It is shown that earlier results concerning the robustness of CT-CNNs can be obtained as a limiting case of this approach, while at the same time, this allows us to formulate robustness considerations for discrete-time CNNs.
Image decomposition based on the discrete wavelet transform (DWT) has been proposed for efficient storage and progressive transmission of images for visual browsing in digital image libraries. Although the compression...
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Image decomposition based on the discrete wavelet transform (DWT) has been proposed for efficient storage and progressive transmission of images for visual browsing in digital image libraries. Although the compression aspects of the DWT have been carefully researched, reconstruction errors due to corrupted wavelet coefficients have received less attention. In this paper we consider the problem of bit errors affecting uniformly quantized wavelet coefficients. The proposed method, which is based on a local image model, simultaneously detects and masks corrupted wavelet coefficients.
In this paper, a contrast pyramid based image coding method is described in which a simple nonlinear difference operation is introduced to generate residual information between two contiguous level images. The represe...
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In this paper, a contrast pyramid based image coding method is described in which a simple nonlinear difference operation is introduced to generate residual information between two contiguous level images. The representation of the residual information can be considered as a local contrast measure. As the difference image in established pyramid coding techniques, the contrast image has low variance, and data compression is achieved by quantizing the contrast image. Based on Weber's law and spatial masking of the human visual system, further data compression can be attained by selecting only perceptually significant information from the contrast image and coding it efficiently.
The authors present an analytical solution to the strong acousto-optic interaction problem in three dimensions. They then compare the analytical results to a split-step numerical algorithm. The algorithm is based on t...
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The authors present an analytical solution to the strong acousto-optic interaction problem in three dimensions. They then compare the analytical results to a split-step numerical algorithm. The algorithm is based on the concept of Fourier optics. Analytical and numerical results are presented.
We present a novel and simple cascaded acousto-optic image processing system to perform image processing. The system consists of two imaging lenses and two acousto-optic modulators that are placed in series. Real time...
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We present a novel and simple cascaded acousto-optic image processing system to perform image processing. The system consists of two imaging lenses and two acousto-optic modulators that are placed in series. Real time image processing is achieved by Bragg diffraction. computer simulation is given and compared to an optical image processing system which uses a single acousto-optic modulator.
From the transfer functions of an acousto-optic (AO) cell, it is found that some basic image processing can be accomplished by using AO cells. Instead of frequency-plane filters, the AO cells are placed directly behin...
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From the transfer functions of an acousto-optic (AO) cell, it is found that some basic image processing can be accomplished by using AO cells. Instead of frequency-plane filters, the AO cells are placed directly behind the object. The one dimensional edge enhancement results using one AO cell can be improved by using two acousto-optic cells which are put in tandem and with contra-propagating sound. The dominant second derivative operation obtained from the transfer function of the undiffracted order works like a one-dimensional Laplacian operator which enables improved edge enhancement.
This paper describes a simulator for the Shiva multiprocessor system and the simulator construction methodology (SCM) used in its creation. The SCM, based on the active functional unit (AFU) construct, is a modern SCM...
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This paper describes a simulator for the Shiva multiprocessor system and the simulator construction methodology (SCM) used in its creation. The SCM, based on the active functional unit (AFU) construct, is a modern SCM which is flexible, accurate, fast, easy to use, capable of dynamic reconfigurability at run-time, and most of all simple and capable of quick simulator construction. The AFU SCM is capable of all these things through the use of object-oriented software techniques. The Shiva simulator constructed using the AFU SCM is program-driven and capable of micro and macro architectural simulation.
An algorithm is described for the joint estimation of motion and disparity vector fields from stereoscopic image sequences. Markov random fields (MRF) are used to model local interaction processes. Interaction of neig...
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An algorithm is described for the joint estimation of motion and disparity vector fields from stereoscopic image sequences. Markov random fields (MRF) are used to model local interaction processes. Interaction of neighbouring-motion disparity vectors across a discontinuity line is prohibited via hidden Markov fields signalling discontinuities in the vector fields. Occlusion processes are also used to mark occluded image locations, which may yield ambiguous matches. The coherence of motion and disparity vector fields is exploited by means of the epipolar constraint and the so called 'loop constraint'. A computationally efficient, suboptimal, hierarchical, deterministic relaxation algorithm is proposed.
Plasma immersion ion implantation (Pm) is a novel implantation technique for high-dose/high-current implants. Using the SPICE circuit simulator to model the PIII process, the sheath voltage and ion energy distribution...
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Plasma immersion ion implantation (Pm) is a novel implantation technique for high-dose/high-current implants. Using the SPICE circuit simulator to model the PIII process, the sheath voltage and ion energy distribution are examined. Implanting into a dielectric substrate results in a significant voltage buildup in the wafer, reducing the effective implant energy. Increasing the pulse voltage raises the dose/pulse, but at the cost of an expanded implant energy spread. Increasing the plasma ion density also raises the dose/pulse, but at the cost of a wider implant energy spread and a lower coupling efficiency. Increasing the substrate thickness reduces both the coupling efficiency and dose/pulse while broadening the energy spread. The large voltage generated across the dielectric substrate decreases the charge neutralization time significantly, reducing the possibility of gate oxide damage.
A new experimental method for determining the secondary electron yield for plasma exposed surfaces is described. From the measurement of the plasma condition and the total current generated when a voltage pulse is app...
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A new experimental method for determining the secondary electron yield for plasma exposed surfaces is described. From the measurement of the plasma condition and the total current generated when a voltage pulse is applied to a target material exposed to a plasma, the dependence of the secondary electron yield of that target on ion energy can be extracted. The secondary electron yield Is determined by an analytical model of the plasma ion, electron, and displacement currents. Experimental results for an aluminum target correlate well with previous secondary electron measurements which used a traditional technique, Secondary electrons yield data of other materials: single crystal silicon, aluminum, titanium nitride, and silicon dioxide are also extracted.
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