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Adaptive algorithm for discontinuity preserving image restoration

Adaptive algorithm for discontinuity preserving image restor...

引用

ieee International symposium on Circuits and Systems (ISCAS)

作者： K.S. Kumar U.B. Desai Department of Electrical Engineering Indian Institute of Technology Bombay India

Conventional adaptive algorithms for image restoration tend to blur the image by smoothing over discontinuities. To overcome this, a discontinuity preserving adaptive algorithm (DPAA) for image restoration is developed. The basic idea is to combine the continuous line field model with the usual linear finite impulse response (FIR) model used for image restoration. The constructed cost function is minimized using the gradient descent algorithm in adaptive setup. computational cost and simulation results are given to aid comparison of DPAA and the conventional 2-D least mean square (LSD) algorithm.< >

关键词： Adaptive algorithm image restoration signal processing algorithms Finite impulse response filter Cost function Smoothing methods Layout Adaptive filters computational efficiency computational modeling

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PC-IMega/IM-X PC-based application and training software packages for GIS and image data processing

PC-IMega/IM-X PC-based application and training software pac...

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ieee International symposium on Geoscience and Remote Sensing (IGARSS)

作者： S. Folving M. Hoey J. Megier D. Whelan EMAP-Group EEC Joint Research Centre Institute of Remote Sensing Applications Ispra Varese VA Italy Department of Experimental Physics University College Dublin Dublin Ireland EEC Joint Res. Centre Inst. for Remote Sensing Appl. Ispra Italy

The PC IMega IM-X software packages have been developed under the European Collaborative Programme for training and application in environmental management in less favoured areas. It is a competent image processing to... 详细信息

关键词： Application software Software packages Geographic Information Systems Data processing image processing computational intelligence Society Displays Physics Management training Environmental management

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Likelihood distributions for radio wave tomography

Likelihood distributions for radio wave tomography

引用

Southern African Conference on Communications and signal processing (COMSIG)

作者： N. Pendock Department of Computational and Applied Mathematics University of the Witwatersrand Johannesburg South Africa

Radio wave tomography is a remote sensing technique for imaging a block of rock between two or more boreholes using radio waves. The visualization of the attenuation or slowness [inverse velocity] properties of the rock is a signal estimation problem of estimating an image of physical parameters from one-dimensional projection data. The Bayesian paradigm consists of decomposing the posterior signal estimate into a product of prior and likelihood probability distributions. We examine the choice of likelihood distribution on the final signal reconstruction. In particular, Gaussian and exponential likelihood distributions are investigated and their performance is compared for reconstructing an image of rock attenuation from a radio tomography survey conducted in a base metal mine in the northern Cape.< >

关键词： Tomography Attenuation image reconstruction Remote sensing Receivers Data visualization Biomedical imaging X-rays Geology Radio transmitters

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Segmentation of chromosome images

Segmentation of chromosome images

引用

Southern African Conference on Communications and signal processing (COMSIG)

作者： S.W. Katz A.D. Brink Department of Computational and Applied Mathematics University of the Witwatersrand Johannesburg South Africa

In this study, the segmentation of chromosome images is examined. These banded chromosome arms belong to mosquitoes of the anopheles gambiae complex and are stained and mounted on slides. Spurious breaks in the chromosome arms due to the banded characteristic of the arms, detection of objects which are actually made up of noisy segments of fusion of two or more arms during segmentation due to close proximity of the arms to each other are some of the problems that are encountered during segmentation.< >

关键词： image segmentation Biological cells Arm Neural networks Background noise Entropy Mathematics Object detection image recognition Skeleton

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Further results on complex Chebyshev FIR filter design using a multiple exchange algorithm

Further results on complex Chebyshev FIR filter design using...

引用

ieee International symposium on Circuits and Systems (ISCAS)

作者： C.-Y. Tseng Signal and Image Processing Institute University of Southern California Los Angeles CA USA

ISBN: (纸本)0780312813

In a previous paper, the author presented a multiple exchange algorithm for designing optimal complex Chebyshev finite impulse response (FIR) filters. This algorithm tackles the complex Chebyshev approximation problem by systematically solving a sequence of subproblems in which each subproblem is defined over a selected set of distinct frequency points. It is pointed out that the approach employed in the previous paper for solving the subproblem, which is based on an efficient implementation of Lawson's algorithm, may encounter numerical difficulties. To alleviate this problem, a new approach which implements Lawson's algorithm with the same computational efficiency as the previous approach while possessing better numerical property is derived.< >

关键词： Chebyshev approximation Finite impulse response filter Algorithm design and analysis Minimization methods signal design Frequency Convergence Polynomials signal processing image processing

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Hermite wavelets for multicarrier data transmission

Hermite wavelets for multicarrier data transmission

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Southern African Conference on Communications and signal processing (COMSIG)

作者： M.R. Walton H. Hanrahan Department of Electrical Engineering University of the Witwatersrand South Africa

The performance of Hermite wavelets as carriers in a digital subscriber loop (DSL) system is evaluated by means of a computer simulation model. The transmission medium, various types of interference and a nearly complete implementation of the transmitter and receiver functions are modelled and simulated. Within this simulation framework, a direct comparison is possible between Hermite wavelet multicarrier modulation (MCM) and sinusoidal MCM, allowing a realistic assessment of the advantages and disadvantages of each method.< >

关键词： Data communication DSL Attenuation image processing Throughput Interference Demodulation computational modeling Discrete Fourier transforms Africa

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A data-parallel approach to the implementation of weighted medians technique on parallel/super-computers

A data-parallel approach to the implementation of weighted m...

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International symposium on Parallel and Distributed processing (IPDPS)

作者： K.P. Lam E. Horne Computing Laboratory University of Kent Canterbury UK University of Kent Canterbury Kent GB Kent Univ. Canterbury UK

Nonlinear filters have been used in many signal processing applications, for example, to obtain optimum signal extraction or detection in the presence of random noise. The weighted median filter (WMF), of which the standard median is a special case, is a novel nonlinear technique designed for 2D image processing. A major advantage of the WMF is its flexibility in design to deal with a wide variety of properties. This paper describes a commonly used class W(4,4,1) of the WMF. AS with most nonlinear methods, the computational demands of this technique are high and require a non-trivial number of "expensive" operations. A data parallel approach for efficient implementation of the WMF is described and implemented on two architecturally dissimilar supercomputers, the Convex C3840 and the Connection Machine CM-200. An analysis of the performance obtained from these two high performance parallel platforms is presented.< >

关键词： Filters Concurrent computing Laboratories image processing image converters Performance analysis Control systems Parallel algorithms Parallel processing Parallel architectures

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Weight selection for the 2-d adaptive weighted median filter based on the gibbs random field model

Weight selection for the 2-d adaptive weighted median filter...

引用

ieee Winter Workshop on Nonlinear Digital signal processing

作者： L. Onural M.B. Alp Electrical and Electronics Eng Department Bilkent University Turkey

The purpose of this paper is to introduce a new adaptive weighted median (awm) filter that preserves the details of different, textural areas within the image. In the development of the filter, a method is presented based on a Gibbs randoin field (GRF) model of the input and output images. It is shown that this method makes it possible to design and analyze filters with very different characteristics. The proposed awm filter is compared with the standard median filter and the linear averaging filter in noise elimination and detail preservation, and is shown to be significntly better in performance.

关键词： Adaptive filters Nonlinear filters Pixel Statistics Design methodology Probability distribution Tiles computational intelligence Society Shape Filtering

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Two-dimensional recursive adaptive filtering

Two-dimensional recursive adaptive filtering

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ieee International symposium on Circuits and Systems (ISCAS)

作者： J.C. Strait W.K. Jenkins Department of Electrical and Computer Engineering and The Coordinated Scienceence Laboratory University of Illinois Urbana IL USA

Two-dimensional adaptive filters are used in image and video processing applications. Several different two-dimensional structures and algorithms have been developed, the most recent of which is a 2D infinite impulse response (IIR) adaptive filter. IIR adaptive filters offer reduced computational complexity and increased modeling flexibility when compared to finite impulse response (FIR) filters. A simple gradient algorithm is developed, and experimental results are presented which clearly show the dependence of convergence on the 2D indexing scheme. Results show that the 2D IIR mean-squared-error performance surface characteristics are similar to those of the 1D IIR adaptive filter with respect to unimodality of the error surface. A quasi-Newton acceleration algorithm is suggested to improve the rate of convergence.< >

关键词： Adaptive filters Finite impulse response filter IIR filters signal processing algorithms Convergence Two dimensional displays Adaptive algorithm computational complexity Pulse modulation Least squares methods

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Fejer filtering for multiscale signal decomposition

Fejer filtering for multiscale signal decomposition

引用

1992 ieee-SP International symposium on Time-Frequency and Time-Scale Analysis

作者： Shi, J.Y. Tsui, H.T. Li, J.G. Dept. of Electron. Eng. Chinese Univ. of Hong Kong Shatin N.T. Hong Kong Image Processing Institute Jiao Tong University Shanghai200030 China

ISBN: (纸本)0780308050

The first processing stage in computational vision is to analyze the information content of an image in different scales by Marr's computational vision theory [1]. Multiscale signal decomposition is thus needed. There exist many ways for this decomposition such as Mallat's wavelet representation [Z], Burt's pyramid, Marr's primal sketch and Shi's morphologic primal sketch. But none of them claimed success in organizing information extracted from an image in different scales. In this paper we introduce a new way for multiscale signal decomposition named as Fejér filtering because it uses the FejCr kernel in the classical Fourier analysis. It is built on a diffraction imaging model from the perspective of Fourier optics based on the uncertainty principle and the argument that a real signal should be bandlimited 131. It is the first part of our work toward a well-organized multiscale representation in computational vision. © 1992 ieee.

关键词： Fourier analysis

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