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Proceedings of the 8th conference on Visualization '97

作者： Tran S. Gieng Bernd Hamann Kenneth I. Joy Gregory L. Schussman Issac J. Trotts Center for Image Processing and Integrated Computing Department of Computer Science University of California Davis

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An Edge-Preserving, Data-Dependent Triangulation Scheme for Hierarchical Rendering

An Edge-Preserving, Data-Dependent Triangulation Scheme for ...

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IEEE Scientific Visualization Conference (SciVis)

作者： J.C. Barnes B. Hamann K.I. Joy Center for Image Processing and Integrated Computing (CIPIC) Department of Computer Science University of California Davis CA USA

In many applications one is concerned with the approximation of functions from a finite set of given data sites with associated function values. We describe a construction of a hierarchy of triangulations which approximate the given data at varying levels of detail. Intermediate triangulations can be associated with a particular level of the hierarchy by considering their approximation errors. This paper presents a new data-dependent triangulation scheme for multi-valued scattered data in the plane. We perform piecewise linear approximation based on data-dependent triangulations. Our scheme preserves edges (discontinuities) that might exist in a given data set by placing vertices close to edges. We start with a coarse, data-dependent triangulation of the convex hull of the given data sites and subdivide triangles until the error of the piecewise linear approximation implied by a triangulation is smaller than some tolerance.

关键词： Piecewise linear approximation Scattering Approximation error Rendering (computer graphics) image processing Iterative algorithms Piecewise linear techniques Computer science Application software Identity-based encryption

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Cluster-Based Generation of Hierarchical Surface Models

Cluster-Based Generation of Hierarchical Surface Models

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IEEE Scientific Visualization Conference (SciVis)

作者： B. Heckel B. Hamann A.E. Uva Center for Image Processing and Integrated Computing (CIPIC) Department of Computer Science University of California Davis CA USA Politecnico di Bari Dipartimento di Progettazione e Produzione Industriale Bari Italy

We present a highly efficient, automatic method for the generation of hierarchical surface triangulations. Given a set of scattered points in three-dimensional space, without known connectivity information, our method reconstructs a valid triangulated surface model in a two-step procedure. First, we apply clustering to the set of given points and identify point subsets in locally nearly planar regions. Second, we construct a surface triangulation from the output of the clustering step. The output of the clustering step is a set of 2-manifold tiles, which locally approximate the underlying, unknown surface. We construct the triangulation of the entire surface by triangulating the individual tiles and triangulating the gaps between the tiles. Since we apply point clustering in a hierarchical fashion we can generate model hierarchies by triangulating various levels resulting from the hierarchical clustering step.

关键词： Surface reconstruction Tiles Electrical capacitance tomography image processing Computer science Reconstruction algorithms Scattering image reconstruction Read only memory Data mining

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Multiresolution and Adaptive Rendering Techniques for Structured, Curvilinear Data

Multiresolution and Adaptive Rendering Techniques for Struct...

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IEEE Scientific Visualization Conference (SciVis)

作者： W.C. Wynn J.F. Barnes B. Hamann M. Miller Department of Computer Science North Carolina State University Chapel Hill USA Center for Image Processing and Integrated Computing (CIPIC) Department of Computer Science University of California Davis USA Lawrence Livermore National Laboratory University of California USA

In many applications one is concerned with techniques for visualizing data sets with real-time interaction. One technique for providing real-time performance is through the use of multiresolution techniques. These techniques provide multiple representations of a data set at different levels of detail. The idea is to select a level of detail that can be rendered within the user's time constraints. We discuss a mechanism which renders finer-detailed representations where the data set has a high frequency, and coarser representations where the data set has lower frequency. We present a new technique for storing curvilinear data sets within a quadtree representation and discuss two rendering schemes: an anti-aliasing scheme and a scheme for maintaining a specified frame rate.

关键词： Computer science Postal services Data visualization image processing Laboratories Rendering (computer graphics) Application software Ear Degradation Robustness

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A unified eigenfilter approach to the design of two-dimensional zero-phase FIR filters with the McClellan transform

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL processing 1996年第8期43卷 622-626页

作者： Chen, H Ford, GE Center for Image Processing and Integrated Computing University of California Davis CA USA

A unified Eigenfilter approach is proposed for determining the mean-square-optimal coefficients of the McClellan transformation. The approach applies to all filter shapes without the use of prior knowledge of the properties of the coefficients. Several design examples for arbitrarily shaped and oriented 2-D fan, elliptical, and diamond filters are given to demonstrate the results achieved with this method. Comparisons with other recently published methods are made to demonstrate the advantages of our method.

关键词： Finite impulse response filter Shape Design methodology Neural networks Symmetric matrices image processing Circuits Digital signal processing Frequency response Optimization methods

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Application of inhomogeneous diffusion to image and video coding

Application of inhomogeneous diffusion to image and video co...

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Asilomar Conference on Signals, Systems & Computers

作者： G.E. Ford Center for Image Processing and Integrated Computing (CIPIC) University of California Davis CA USA

We describe the properties of algorithms based on methods of inhomogeneous diffusion and their application to image and video coding. Filtering by inhomogeneous diffusion has the desirable property of reducing noise and other artifacts while preserving the image structure, maintaining or improving image quality. As a preprocessor, this filtering removes non-perceptible noise, leading to improved compression. As a postprocessor, it suppresses coding artifacts, such as the block impairments of DCT-based coders. Maintaining the basic structure of JPEG, MPEG, and other coders, we describe the improvements possible with inhomogeneous diffusion preprocessing and postprocessing.

关键词： Video coding image coding Transform coding PSNR Rough surfaces Surface roughness Filtering algorithms Noise reduction image quality image processing

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Correction to "Bond Percolation-Based Gibbs-Markov Random Fields for image Segmentation"

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IEEE Signal processing Letters 1996年第4期3卷 127-127页

作者： I. Hussain T.R. Reed Department of Electrical and Computer Engineering and the Center for Image Processing and Integrated Computing University of California Davis CA USA

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Two applications of wavelets and related techniques in medical imaging

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Annals of Biomedical Engineering 1995年第5期23卷 637-665页

作者： Healy Jr., Dennis M. Lu, Jian Weaver, John B. Department of Mathematics and Computer Science Dartmouth College Hanover 03755 NH United States Center for Image Processing and Integrated Computing University of California Davis CA United States Department of Diagnostic Radiology Dartmouth-Hitchcock Medical Center Lebanon NH United States

We present two applications of wavelet and related techniques to problems arising in medical imaging. Both make considerable use of the edge detection and classification properties of wavelet-type representations. First we describe simple and effective techniques for image denoising and contrast enhancement based on the multiscale edge representation of images. These techniques are sufficiently flexible to successfully address the varying requirements posed by several different medical imaging modalities in common use today. Experimental results are presented to illustrate the application of these techniques to various types of medical images. Next we describe adapted waveform encoding, a technique for magnetic resonance imaging. One advantage of this technique istthat it can be used to efficiently encode edge features of the object being imaged. This has a particular diagnostic application in tracking heart wall thickness during the cardiac cycle, which we present along with some experimental results along this line. We also present an analysis of the signal-to-noise ratios of images formed with this technique, as this is a factor of paramount importance in MRI. The fact that wavelet schemes tend to concentrate energy near edge features makes the result rather different than that found in standard Fourier based approaches. We indicate an exciting potential application of our technique: reducing spectral leakage in phosphorus spectroscopy. © 1995 Biomedical Engineering Society.

关键词： image enhancement Magnetic resonance imaging

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Efficient error free chain coding of binary documents

Efficient error free chain coding of binary documents

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Data Compression Conference (DCC)

作者： R.R. Estes V.R. Algazi Center for Image Processing and Integrated Computing University of California Los Angeles Davis USA

Finite context models improve the performance of chain based encoders to the point that they become attractive, alternative models for binary image compression. The resulting code is within 4% of JBIG at 200 dpi and i... 详细信息

关键词： image coding Context modeling image processing Data compression Upper bound Constraint theory Bit rate Performance analysis Clocks Shape

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Evaluation and synthesis of wavelet image coders

Evaluation and synthesis of wavelet image coders

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IEEE International Conference on image processing

作者： Jian Lu V.R. Algazi R.R. Estes Center for Image Processing andIntegrated Computing (CIPIC University of California Davis CA USA University of California Davis Davis CA US Center for Image Process. & Integrated Comput. California Univ. Davis CA USA

The design of a wavelet image coder can be divided into three parts: wavelet representation, quantization, and error-free encoding. We evaluate each of these parts individually and synthesize them into complete coders. The evaluation is in the rate-distortion sense; two image quality metrics are used: a perception-based, quantitative picture quality scale (PQS) and the conventional distortion measure, peak signal-to-noise ratio (PSNR). Two representative wavelets, three quantizers, three encoders, and some combinations of these parts are comparatively evaluated. Our results provide an insight into the design issues of optimizing wavelet coders, as well as a good reference for application developers to choose from an increasingly large family of wavelet coders for their applications.

关键词： Distortion measurement image coding PSNR Quantization Humans Wavelet packets image processing Signal synthesis Rate-distortion image quality

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