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International Conference on Knowledge-Based Intelligent Electronic Systems (KES)

作者： C. Vertan C.I. Vertan V. Buzuloiu Image Processing and Analysis Laboratory (IPAL) Applied Electronics Department Faculty of Electronics and Telecommunications Bucharest Politechnica University Romania Computer Science Department Faculty of Mathematics University of Bucharest Romania

The aim of the paper is to introduce two new multichannel median type filters, obtained by vector extension of their scalar (gray scale image) counterparts. The two filters are typical examples for two situations in image processing: the use of the fuzzy attribute to justify the weighting factors and the fuzzy attribute as descriptor for rule-based processing.

关键词： Nonlinear filters image processing Filtering Fuzzy logic Signal processing algorithms Signal processing image analysis Laboratories computer science mathematics

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Integration of audio/visual information for use in human-computer intelligent interaction

Integration of audio/visual information for use in human-com...

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IEEE International Conference on image processing

作者： V.I. Pavlovic G.A. Berry T.S. Huang Image Formation and Processing Group Beckman Institute for Advanced Science and Technology and Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Urbana IL USA

Human-computer intelligent interaction (HCII) in virtual environments is a rapidly developing field. Natural human communication is multi-modal, however, most modern computer interfaces rely exclusively on one mode of interaction. We employ a novel approach to integrating multiple modes of human-computer communication. By using auditory and visual features at different levels of integration we explore optimal ways of combining these modalities.

关键词： Virtual environment Automatic speech recognition Humans Virtual reality Speech processing Robustness Auditory displays Psychology Mice Sensor fusion

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A model of deforestation by human population interactions

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Environmental and Ecological Statistics 1997年第1期4卷 83-92页

作者： Tanaka, Shojiro Nishii, Ryuei Faculty of Engineering Yamanashi University Kofu 400 4-3-11 Takeda Japan Fac. of Integrated Arts and Sciences Hiroshima University Higashi-Hiroshima 739 Japan Hiroshima University Japan Information Processing Center Hiroshima University Japan Department of Computer Science Faculty of Engineering Yamanashi University Japan Nagoya University Japan Department of Mathematics Hiroshima University Japan Fac. of Integrated Arts and Sciences Hiroshima University Japan University of Pittsburgh United States Institute of Statistical Mathematics Japan

A differential equation was employed in modelling deforestation by human population interactions to yield an explicit mathematical model. The theoretical relation and many possible models were applied to the grid cell data in Hiroshima Prefecture, and relative appropriateness of each model was evaluated by Akaike's information criterion (AIC) using raw data. Intensive further verification was executed by the bootstrap method. It was demonstrated that the theoretical relation was in the best agreement among many other models in comparison.

关键词： Akaike's information criterion Bootstrap method Deterministic model Error structure Model selection

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Performance of the H.263 Video Compression Standard

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Journal of VLSI Signal processing Systems for Signal, image, and Video Technology 1997年第2-3期17卷 101-111页

作者： Girod, Bernd Steinbach, Eckehard Färber, Nikolaus Telecommunications Institute University of Erlangen-Nuremberg 91058 Erlangen Cauerstrasse 7 Germany Georgia Institute of Technology United States University of Hannover Germany Inst. F. Theor. N. University of Hannover Germany Massachussetts Inst. of Technology Cambridge MA United States Research Laboratory of Electronics United States Department of Media Technology Media Laboratory Germany Department of Computer Graphics Germany Academy of Media Arts Cologne Germany Computer Science Section Cologne University Germany Digital Signal Processing Group Georgia Institute of Technology Atlanta GA United States Dept. of Elec. Eng./Telecom. University of Erlangen-Nuremberg Germany Telecommunications Institute Germany Vivo Software Inc. Waltham MA United States University of Karlsruhe Germany University of Essex United Kingdom ESIEE Paris France Image Communication Group Telecommunications Institute University of Erlangen-Nuremberg Germany University of Munich Germany Telecommunications Institute University of Erlangen-Nuremberg Germany Image Communication Group

The draft international standard ITU-T H.263 is closely related to the well known and widely used ITU-T Recommendation H.261. However, H.263 does provide the same subjective image quality at less than half the bit-rate. In this paper we investigate to what extend single enhancements of H.263 contribute to this performance gain, and consider the trade-off quality vs. complexity. Based on typical test sequences, H.263 with its various modes is compared to H.261 on the basis of rate distortion curves at bit-rates up to 128 kbps. At 64 kbps, the performance gain of H.263 in its default mode compared to H.261 is approximately 2 dB. This improvement is achieved with only little increase of complexity, and is mainly due to more accurate motion compensation with half-pel accuracy. Considering the trade-off quality vs. complexity, the combination of the optional coding-modes "Advanced prediction mode" and "PB-frames mode" is a good compromise, resulting in an additional performance gain of 1.5 dB PSNR at 64 kbps. The "Syntax-based arithmetic coding mode" on the other hand, offers only a very small performance gain (0.1 dB at 64 kbps) for its increased computational complexity. Results from profiling an H.263 software codec are presented in order to support complexity considerations of the optional coding-modes.

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Real-time image processing using cascaded acousto-optic modulators

Real-time image processing using cascaded acousto-optic modu...

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IEEE Southeastcon

作者： D.B. Dunn Jiangang Xia Ting-Chung Poon P.P. Banerjee Optical Image Processing Laboratory The Bradley Department of Electrical Engineering Virginia Polytechnic Institute and State University VA USA Virginia Polytechnic Institute and State University Blacksburg VA US Center for Applied Optics Department of Electrical and Computer Engineering University of Alabama Huntsville Huntsville AL USA

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.

关键词： image processing Optical imaging Lenses Optical modulation Fourier transforms Transfer functions Equations Laboratories computer simulation Acoustic beams

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Three-dimensional analytical and numerical solutions for acousto-optic interaction

Three-dimensional analytical and numerical solutions for aco...

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Southeastern Symposium on System Theory

作者： D.B. Dunn M. McNeill Jiangang Xia Ting-Chung Poon P.P. Banerjee Optical Image Processing Laboratory The Bradley Department of Electrical Engineering Virginia Polytechnic Institute and State University VA USA Department of Elec. Engineering Bucknell University USA York University Canada Center for Applied Optics Department of Electrical and Computer Engineering University of Alabama Huntsville Huntsville AL USA

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... 详细信息

关键词： Optical propagation Acoustic beams Transfer functions Diffraction Acoustic propagation USA Councils Gratings image analysis image processing Laboratories

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Performance enhancement in acousto-optic image processing

Performance enhancement in acousto-optic image processing

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IEEE Southeastcon

作者： P.P. Banejee D. Cao T.-C. Poon Dept. of Electr. & Comput. Eng. Alabama Univ. Huntsville AL USA Department of Electrical and Computer Engineering University of Alabama Huntsville Huntsville AL USA Optical Image Processing Laboratory The Bradley Department of Electrical Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA

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.

关键词： image processing Numerical simulation Digital images image edge detection Propagation delay Laplace equations

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Picture segmentation with introducing an anisotropic preliminary step to an MRF model with cellular neural networks

Picture segmentation with introducing an anisotropic prelimi...

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13th International Conference on Pattern Recognition, ICPR 1996

作者： Szirányi, Tamás Czúni, László Department of Image Processing and Neurocomputing University of Veszprém 8200 Veszprém Egyetem út 10. Hungary Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences Kende u. 13-17 H- 1111 Budapest Hungary

ISBN: (纸本)081867282X

Due to the large computation power needed for Markovian random field (MRF) based image processing, new variations of the basic MRF model are implemented. The transportation of the model to the very fast cellular neural networks (CNN) gave new tasks and opportunities to improve the technique, since the CNN has a special local architecture. This CNN architecture can be implemented in real VLSI circuits of superior speed in image processing. A type of MRF image segmentation with modified metropolis dynamics (MMD) can be well implemented in the CNN architecture. In this paper we address the improvement of this existing CNN method by introducing anisotropic diffusion as the smoothing process in the model. We suggest that this new feature with the MRF representation will give a new approach to solving early vision problems in the future. © 1996 IEEE.

关键词： Cellular neural networks

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A coherent approach to broadband matched-field processing: application in the Hudson Canyon

A coherent approach to broadband matched-field processing: a...

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： M.B. Porter Z.-H. Michalopoulou Department of Mathematics and Center for Communications and Signal Processing New Jersey Institute of Technology Newark NJ USA Department of Mathematics and Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

In matched-field processing, sophisticated models of the ocean channel are used to provide accurate steering vectors. These steering vectors are then used with standard beamformers (conventional, MVDR, etc.). The Hudson Canyon data set is one of a few publicly available data sets in a form directly suitable for matched-field processing. Using these data we show successful tracking out to a range of 5 km. Exploitation of broadband information is critical for that processing. However, we show that the MVDR processor is only successful when the broadband information is exploited coherently.

关键词： Oceans Contracts Frequency estimation mathematics Marine technology Surface acoustic waves Sea surface Underwater communication Signal processing Mathematical model

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Picture segmentation with introducing an anisotropic preliminary step to an MRF model with cellular neural networks

Picture segmentation with introducing an anisotropic prelimi...

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International Conference on Pattern Recognition

作者： T. Sziranyi L. Czuni Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department of Image Processing and Neurocomputing University of Veszprém Hungary

关键词： Anisotropic magnetoresistance Cellular neural networks image segmentation image processing computer networks Pixel Labeling Smoothing methods Laboratories Automation

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