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Error concealment techniques for encoded video streams

Error concealment techniques for encoded video streams

引用

IEEE International Conference on image processing

作者： P. Salama N.B. Shroff E.J. Coyle E.J. Delp School of Electrical Engineering Computer Vision and Image Processing Laboratory Purdue University West Lafayette IN USA

In this paper we describe two error-recovery approaches for MPEG encoded video over ATM networks. The first approach aims at reconstructing each lost pixel by spatial interpolation from the nearest undamaged pixels. The second approach recovers lost macroblocks by minimizing intersample variations within each block and across its boundaries. Moreover, a new technique for packing ATM cells with compressed data is also proposed.

关键词： Streaming media Asynchronous transfer mode Decoding Video compression image coding Video sequences computer errors computer vision image processing Laboratories

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Partially adaptive radar signal processing: The cross-spectral approach 29

Partially adaptive radar signal processing: The cross-spectr...

引用

29th Asilomar Conference on Signals, Systems and computers, ACSSC 1995

作者： Goldstein, J. Scott Kogon, Stephen M. Reed, Irving S. Williams, Douglas B. Holder, E. Jeff USAF Rome Laboratory RL/C3BA 525 Brooks Rd. Grifilss AFBNY13441-4505 United States Statistical Signal and Image Processing Laboratory Department of Electrical Engineering University of Southern California Los AngelesCA90089-2565 United States Digital Signal Processing Laboratory School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332-0250 United States

ISBN: (纸本)0818673702

This paper is concerned with reducing the rank of the adaptive weight vector in radar array signal processing. The motivation for reducing the rank is that modern space-time processing requires many more weights than can be supported on airborne and spacesegment platforms. The loss incurred in partially adaptive radar processing is that the steady-state Wiener solution of the lower rank weight vector may not perform as well as the full rank solution. Hence, this paper will be concerned with the Wiener solution of partially adaptive radar arrays and compare the performance of principal component techniques with the recently developed crossspectral technique. © 1996 IEEE.

关键词： Array processing

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AN INVESTIGATION OF JPEG image AND VIDEO COMPRESSION USING PARALLEL processing

AN INVESTIGATION OF JPEG IMAGE AND VIDEO COMPRESSION USING P...

引用

1994 IEEE International Conference on Acoustics, Speech and Signal processing

作者： COOK, GW DELP, EJ Computer Vision Ond Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN 47907-1285 United States

The problem inherent with any digital image (or digital video) system is the large amount of bandwidth required for transmission or storage. This has driven the research area of image compression to develop more complex algorithms that compress images to lower data rates with better fidelity. One approach that can be used to increase the execution speed of these complex algorithms is through the use of parallel processing. In this paper we address one aspect of the parallel implementation of the JPEG still image compression standard on the MasPar MP-1, a massively parallel SIMD computer. We develop a novel byte alignment algorithm used to efficiently output compressed data from the parallel system. © 1994 IEEE.

关键词： image compression

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An investigation of JPEG image and video compression using parallel processing

An investigation of JPEG image and video compression using p...

引用

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

作者： G.W. Cook E.J. Delp Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

关键词： Transform coding Video compression Parallel processing image coding image storage Digital images Concurrent computing Parallel algorithms image processing Bandwidth

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Parameter estimation and segmentation of noisy or textured images using the EM algorithm and MPM estimation

Parameter estimation and segmentation of noisy or textured i...

引用

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

Presents a new algorithm for segmentation of noisy or textured images using the expectation-maximization (EM) algorithm for estimating parameters of the probability mass function of the pixel class labels and the maximization of the posterior marginals (MPM) criterion for the segmentation operation. A Markov random field (MRF) model is used for the pixel class labels. The authors present experimental results demonstrating the use of the new algorithm on synthetic images and medical imagery.< >

关键词： Parameter estimation image segmentation Pixel Markov random fields Probability computer vision image processing Laboratories Tellurium Biomedical imaging

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Piecewise and local class models for image restoration

Piecewise and local class models for image restoration

引用

IEEE International Conference on image processing

作者： S.T. Acton A.C. Bovik School of Electrical Computer Engineering Oklahoma State University Stillwater OK USA Laboratory for Vision SystemsCenter for Vision and Image Science Department of Electrical Computer Engineering University of Texas Austin Austin TX USA

In this paper, we present a new approach to image restoration based on a flexible constraint framework that encapsulates structural assumptions about the uncorrupted image. Piecewise and local class (PALC) models are defined and utilized to restore images degraded by linear blurring and additive noise. The restoration process is accomplished by iteratively deconvolving the solution image while simultaneously optimizing local image characteristics defined by the PALC models. Solution images to this ill-posed, combinatorial problem are computed using the novel generalized deterministic annealing (GDA) optimization technique. The results demonstrate high quality image restoration as measured by local feature integrity, improvement in signal-to-noise ratio, and reduction of restoration artifacts, especially in the presence of heavy-tailed additive noise.< >

关键词： image restoration Additive noise Degradation image edge detection Deconvolution Bismuth computer vision Machine vision image enhancement Maximum likelihood estimation

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Anisotropic diffusion pyramids for image segmentation

Anisotropic diffusion pyramids for image segmentation

引用

IEEE International Conference on image processing

作者： S.T. Acton A.C. Bovik M.M. Crawford School of Electrical & Computer Engineering Oklahoma State University Stillwater OK USA Department of Electrical & Computer Engineering Laboratory for Vision Systems Center for Vision and Image Science Center for Space Research and Department of Mechanical Engineering University of Texas Austin Austin TX USA

We introduce the Anisotropic Diffusion Pyramid (ADP), a structure for multiresolution image processing. We also develop the ADP for use in region-based segmentation. The pyramid is constructed using the anisotropic diffusion equations, creating an efficient scale-space representation. Segmentation is accomplished using pyramid node linking. Since anisotropic diffusion preserves edge localization as the scale is increased, the region boundaries in the coarse-to-fine ADP segmentation are accurately delineated. An application to segmentation of remotely sensed data is provided. The results of ADP segmentation are compared to Gaussian-based pyramidal segmentation. The examples show that the ADP has a superior ability to subdivide the image into integral groupings, minimizing the error in boundary localization and in pixel intensity.< >

关键词： Anisotropic magnetoresistance image segmentation Smoothing methods Equations image resolution Pixel computer vision Machine vision Hemorrhaging Radiometry

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Real-time histogram generation using optical scanning

Real-time histogram generation using optical scanning

引用

Southeastern Symposium on System Theory

作者： R.J. Pieper J.K. Richstein C.-M. Ho A. Lee T.-C. Poon Department of Electrical and Computer Engineering Naval Postgraduate School Monterrey CA USA Optical Image Processing Laboratory Bradley Department of Electrical Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA

A prototype of an optical-electronic histogram generator has been designed and tested for 1-D objects. In this scheme, the object to be analyzed is laser scanned. The resulting optical signal is detected by a photodetector which generates an electrical signal output which is subsequently analyzed with a combination of analog and digital electronics. The system has shown to be fairly modular in design. Various aspects of the extension of the design to two dimensions is discussed.< >

关键词： Histograms Circuits Signal generators Nonlinear optics Clocks Photodetectors Mirrors Signal analysis Optical scattering Signal processing

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A CMOS VLSI IC for real-time opto-electronic two-dimensional histogram generation

A CMOS VLSI IC for real-time opto-electronic two-dimensional...

引用

Southeastern Symposium on System Theory

作者： J.K. Richstein D.J. Fouts R.J. Pieper T.-C. Poon Department of Electrical and Computer Engineering Naval Postgraduate School Monterrey CA USA Optical Image Processing Laboratory Bradley Department of Electrical Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA

Histogram generation, a standard image processing operation, is a record of the intensity distribution in the image. A prototype of an optical-electronic histogram generator has been designed and tested for 1D objects using wirewrapped MSI TTL components (Richstein et al. 1993). The overall system design is such that the electronic signal obtained from the optically scanned two-dimensional semi-opaque image is processed and displayed within a period of one cycle of the scanning process. The authors report a VLSI design to be used in a two-dimensional real-time histogram generation scheme.< >

关键词： Very large scale integration CMOS integrated circuits Histograms Optical recording image generation image processing Prototypes Optical devices Optical design Testing

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AN INVESTIGATION OF THE USE OF HIGH-PERFORMANCE COMPUTING FOR MULTISCALE COLOR image SMOOTHING USING MATHEMATICAL MORPHOLOGY

AN INVESTIGATION OF THE USE OF HIGH-PERFORMANCE COMPUTING FO...

引用

CONF ON image MODELING

作者： COOK, GW COMER, ML DELP, EJ Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette 47907-1285 IN United States

ISBN: (纸本)081941137X

The use of mathematical morphology in low- and mid-level image processing and computer vision applications has allowed the development of a class of techniques for analyzing shape information in color images. These techniques have shown to be useful in image enhancement, segmentation, and analysis. In this paper, we develop and test scalable parallel algorithms necessary to implement a class of morphological filters on a parallel computer, specifically, the MasPar MP-1. We examine the issues relative to the parallel implementation of the algorithms and show that real-time enhancement of high resolution color images is possible. © 1993 SPIE. All rights reserved.

关键词： Mathematical morphology

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