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IEEE International Conference on image processing

作者： Tian-Hu Yu Jianhua Chen S.K. Mitra Department of Information Engineering Chinese University of Hong Kong New Territories Hong Kong China Department of Electrical and Computer Engineering Signal and Image Processing Laboratory University of California Santa Barbara CA USA

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.

关键词： image coding Laplace equations Low pass filters Data compression Humans Data structures Nonlinear filters Filtering image generation Visual system

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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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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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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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A spatialoral parallel approach for real-time MPEG video compression 25

A spatialoral parallel approach for real-time MPEG video com...

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25th International Conference on Parallel processing, ICPP 1996

作者： Shen, Ke Delp, E.J. Purdue University School of Electrical Engineering Computer Vision and Image Processing Laboratory West LafayetteIN United States Purdue Multimedia Testbed West LafayetteIN47907-1285 United States

ISBN: (纸本)081867623X

We present a parallel implementation of an MPEG encoder on the Intel Paragon supercomputer. In our approach, both spatial and temporal parallelism have been exploited, While the Paragon has the computation capacity to encode video sequences faster than real-time, we found that real-time performance cannot be achieved if the input/output techniques are not designed properly. We present several schemes for managing the I/O and show their effect on reducing I/O contention. © 1996 IEEE.

关键词： Supercomputers

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The EM/MPM algorithm for segmentation of textured images: analysis and further experimental results

The EM/MPM algorithm for segmentation of textured images: an...

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IEEE International Conference on image processing

作者： M.L. Comer E.J. Delp Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

In this paper we present new results relative to the "expectation-maximization/maximization of the posterior marginals" (EM/MPM) algorithm for simultaneous parameter estimation and segmentation of textured images. The goal of the EM/MPM algorithm is to minimize the expected value of the number of misclassified pixels. We present new theoretical results in this paper which show that the algorithm can be expected to achieve this goal, to the extent that the EM estimates of the model parameters are close to the true values of the model parameters. We also present new experimental results demonstrating the performance of the algorithm.

关键词： image segmentation image analysis image texture analysis Algorithm design and analysis Parameter estimation Pixel Stochastic processes computer vision image processing

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3D segmentation and labeling using self-organizing Kohonen network for volumetric measurements on brain CT imaging to quantify TBI recovery

3D segmentation and labeling using self-organizing Kohonen n...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： M.N. Ahmed A.A. Farag Computer Vision and Image Processing Laboratory Department of Electrical Engineering University of Louisville Louisville KY USA

In this paper, we present a new system to segment and label CT brain slices using a self-organizing Kohonen network. Our aim is to extract reliable and robust measures from CT images of Traumatic Brain Injury (TBI) patients that can accurately describe the morphological changes in the brain as recovery progresses. Segmentation is performed by assigning a feature pattern to each voxel, consisting of a scaled family of differential geometrical invariant features. The invariant feature pattern is input to Kohonen network for an unsupervised classification of the voxels into regions.

关键词： Labeling Volume measurement image segmentation Computed tomography Layout Electric variables measurement engineering in Medicine and Biology Society Brain injuries Data mining Filters

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A watermark for digital images

A watermark for digital images

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IEEE International Conference on image processing

作者： R.B. Wolfgang E.J. Delp Computer Vision and Image Processing Laboratory Purdue Multimedia Testbed Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

The growth of networked multimedia systems has magnified the need for image copyright protection. One approach used to address this problem is to add an invisible structure to an image that can be used to seal or mark it. These structures are known as digital watermarks. We describe two techniques for the invisible marking of images. We analyze the robustness of the watermarks with respect to linear and nonlinear filtering, and JPEG compression. The results show that our watermarks detect all but the most minute changes to the image.

关键词： Watermarking Digital images Multimedia systems Copyright protection Seals Robustness Nonlinear filters Filtering Transform coding image coding

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A new time series classification approach

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SIGNAL processing 1996年第2期54卷 191-199页

作者： Plataniotis, KN Androutsos, D Venetsanopoulos, AN Lainiotis, DG Department of Electrical and Computer Engineering Digital Signal & Image Processing Laboratory University of Toronto 10 King's College Rd. Toronto Ontario M5S 3G4 Canada Intelligent Systems Technology 3207 S. Hwy. A1A Melbourne Beach FL-32951 USA

A new, robust and computationally attractive approach to the problem of time series classification is discussed in this paper. Both the Bayesian as well as a new adaptive classification scheme for source selection are... 详细信息

关键词： time series classification neural networks logistic function

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Efficient coding by neuro-fuzzy clustering in vector quantization of wavelet decomposed signals

Efficient coding by neuro-fuzzy clustering in vector quantiz...

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Conference of the North American Fuzzy Information processing Society - NAFIPS

作者： S. Mitra S. Pemmaraju Computer Vision and Image Analysis Laboratory Department of Electrical Engineering Texas Tech University Lubbock TX USA

Multiresolution representation of wavelets in image decomposition and coding shows potential of developing an efficient image compression technique with minimum distortion when vector quantization (VQ) is used. This paper presents a multiresolution and adaptive approach to VQ codebook generation by employing a fuzzy distortion measure embedded in a self-organizing neural network ensuring fast convergence and minimum distortion. Multiresolution codebooks are generated for the wavelet decomposed images using neuro-fuzzy clustering algorithms resulting in significant improvement in the coding process. The signal transformation and vector quantization stages together yield at least, 64:1 bit rate reduction with good visual quality and acceptable peak signal to noise ratio and mean square error. The performance of this new VQ coding technique has been compared to that of the well-known Linde, Buzo, and Gray-VQ for a variety of image classes. In each case, the new VQ technique demonstrated superior ability for fast convergence with minimum distortion at similar bit rate reduction than the existing VQ techniques.

关键词： Vector quantization image coding Signal resolution image resolution Distortion measurement Convergence Bit rate image decomposition Fuzzy neural networks Neural networks

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