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IEEE Signal Processing Magazine

Issue 5 • Date Sept. 2002

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Displaying Results 1 - 10 of 10
  • Athanasios Papoulis: Longtime professor and noted author [Obituary]

    Publication Year: 2002, Page(s):12 - 14
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    Freely Available from IEEE
  • Mathematical methods in imaging

    Publication Year: 2002, Page(s):13 - 14
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (263 KB) | HTML iconHTML

    First Page of the Article
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  • Unifying probabilistic and variational estimation

    Publication Year: 2002, Page(s):37 - 47
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1124 KB) | HTML iconHTML

    A maximum a posteriori (MAP) estimator using a Markov or a maximum entropy random field model for a prior distribution may be viewed as a minimizer of a variational problem.Using notions from robust statistics, a variational filter referred to as a Huber gradient descent flow is proposed. It is a result of optimizing a Huber functional subject to some noise constraints and takes a hybrid form of a... View full abstract»

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  • Stochastic models for capturing image variability

    Publication Year: 2002, Page(s):63 - 76
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1092 KB) | HTML iconHTML

    We review a result in modeling lower order (univariate and bivariate) probability densities of pixel values resulting from bandpass filtering of images. Assuming an object-based model for images, a parametric family of probabilities, called Bessel K forms, has been derived (Grenander and Srivastava 2001). This parametric family matches well with the observed histograms for a large variety of image... View full abstract»

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  • Why watermarking is nonsense

    Publication Year: 2002, Page(s):10 - 11
    Cited by:  Papers (8)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (262 KB)

    The ease with which early watermarking algorithms were broken has given rise to a new set of schemes that are usually robust to a wide variety of attacks. We argue that this has created an illusion of progress, when in reality there is none. Most published watermarking algorithms, like their predecessors, protect all objects in a neighborhood surrounding the marked object. We point out that while ... View full abstract»

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  • Nonlinear multiscale filtering

    Publication Year: 2002, Page(s):26 - 36
    Cited by:  Papers (12)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (752 KB) | HTML iconHTML

    In this article, we give an overview of scale-spaces and their application to noise suppression and segmentation of 1-D signals and 2-D images. Several prototypical problems serve as our motivation. We review several scale-spaces (linear Gaussian, Perona-Malik, and SIDE-stabilized inverse diffusion equation) and discuss their advantages and shortcomings. We describe our previous work and argue tha... View full abstract»

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  • Stochastic fractal models for image processing

    Publication Year: 2002, Page(s):48 - 62
    Cited by:  Papers (69)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (978 KB) | HTML iconHTML

    Our study of fractal landscapes departs from the simplest but yet effective model of fractional Brownian motion and explores its two-dimensional (2-D) extensions. We focus on the ability to introduce anisotropy in this model, and we are also interested in considering its discrete-space counterparts. We then move towards other multifractional and multifractal models providing more degrees of freedo... View full abstract»

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  • Applications of entropic spanning graphs

    Publication Year: 2002, Page(s):85 - 95
    Cited by:  Papers (67)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1141 KB) | HTML iconHTML

    This article presents applications of entropic spanning graphs to imaging and feature clustering applications. Entropic spanning graphs span a set of feature vectors in such a way that the normalized spanning length of the graph converges to the entropy of the feature distribution as the number of random feature vectors increases. This property makes these graphs naturally suited to applications w... View full abstract»

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  • Diffusion PDEs on vector-valued images

    Publication Year: 2002, Page(s):16 - 25
    Cited by:  Papers (50)  |  Patents (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6452 KB) | HTML iconHTML

    In this article, we propose a local and geometric point of view of vector image filtering using diffusion PDEs. It allows us to analyze proposed methods of vector data regularization, as well as propose a new vector PDE, well adapted for image restoration. This equation, whose key feature is the use of a local vector geometry, combines the advantages of diffusion PDEs for noise removing but also u... View full abstract»

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  • Marked point process in image analysis

    Publication Year: 2002, Page(s):77 - 84
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1126 KB) | HTML iconHTML

    In this article, we consider the marked point process framework for image analysis. We first show that marked point processes are more adapted than Markov random fields (MRFs) including some geometrical constraints in the solution and dealing with strongly correlated noise. Then, we consider three applications in remote sensing: road network extraction, building extraction, and image segmentation.... View full abstract»

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Aims & Scope

IEEE Signal Processing Magazine publishes tutorial-style articles on signal processing research and applications, as well as columns and forums on issues of interest. Its coverage ranges from fundamental principles to practical implementation, reflecting the multidimensional facets of interests and concerns of the community. Its mission is to bring up-to-date, emerging and active technical developments, issues, and events to the research, educational, and professional communities. It is also the main Society communication platform addressing important issues concerning all members.

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Meet Our Editors

Editor-in-Chief
Min Wu
University of Maryland, College Park
United States 

http://www/ece.umd.edu/~minwu/