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IEEE Transactions on Image Processing

Issue 6 • Date June 2004

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Displaying Results 1 - 16 of 16
  • Table of contents

    Publication Year: 2004, Page(s):c1 - c4
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  • IEEE Transactions on Image Processing publication information

    Publication Year: 2004, Page(s): c2
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  • Efficient iris recognition by characterizing key local variations

    Publication Year: 2004, Page(s):739 - 750
    Cited by:  Papers (260)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (427 KB) | HTML iconHTML

    Unlike other biometrics such as fingerprints and face, the distinct aspect of iris comes from randomly distributed features. This leads to its high reliability for personal identification, and at the same time, the difficulty in effectively representing such details in an image. This paper describes an efficient algorithm for iris recognition by characterizing key local variations. The basic idea ... View full abstract»

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  • Ensuring quality of service for image transmission: hybrid loss protection

    Publication Year: 2004, Page(s):751 - 757
    Cited by:  Papers (6)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB) | HTML iconHTML

    We present hybrid loss protection as a new channel coding and packetization scheme for image transmission over nonprioritized lossy packet networks. The scheme employs an interleaver-based structure, and attempts to maximize the expected peak signal-to-noise ratio (PSNR) at the receiver given the constraint that the probability of failure, i.e., the probability that the PSNR of the decoded image i... View full abstract»

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  • Hex-splines: a novel spline family for hexagonal lattices

    Publication Year: 2004, Page(s):758 - 772
    Cited by:  Papers (33)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (844 KB) | HTML iconHTML

    This paper proposes a new family of bivariate, nonseparable splines, called hex-splines, especially designed for hexagonal lattices. The starting point of the construction is the indicator function of the Voronoi cell, which is used to define in a natural way the first-order hex-spline. Higher order hex-splines are obtained by successive convolutions. A mathematical analysis of this new bivariate ... View full abstract»

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  • Polynomial wavelet regression for images with irregular boundaries

    Publication Year: 2004, Page(s):773 - 781
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (511 KB) | HTML iconHTML

    In this paper, we focus on denoising images for which observations are equally spaced except around the boundaries which are irregular. Such images are very common in many fields, for example in geophysics. The advantages of adding a low-order polynomial term when implementing a wavelet regression for such images are presented. Besides removing the classical restriction of having a dyadic of numbe... View full abstract»

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  • Robust rotation-invariant texture classification using a model based approach

    Publication Year: 2004, Page(s):782 - 791
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (681 KB) | HTML iconHTML

    In this paper, a model based texture classification procedure is presented. The texture is modeled as the output of a linear system driven by a binary image. This latter retains the morphological characteristics of the texture and it is specified by its spatial autocorrelation function (ACF). We show that features extracted from the ACF of the binary excitation suffice to represent the texture for... View full abstract»

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  • Applying informed coding and embedding to design a robust high-capacity watermark

    Publication Year: 2004, Page(s):792 - 807
    Cited by:  Papers (89)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1235 KB) | HTML iconHTML

    We describe a new watermarking system based on the principles of informed coding and informed embedding. This system is capable of embedding 1380 bits of information in images with dimensions 240×368 pixels. Experiments on 2000 images indicate the watermarks are robust to significant valumetric distortions, including additive noise, low-pass filtering, changes in contrast, and lossy compress... View full abstract»

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  • Shape error concealment using Hermite splines

    Publication Year: 2004, Page(s):808 - 820
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (992 KB) | HTML iconHTML

    The introduction of video objects (VOs) is one of the innovations of MPEG-4. The α-plane of a VO defines its shape at a given instance in time and hence determines the boundary of its texture. In packet-based networks, shape, motion, and texture are subject to loss. While there has been considerable attention paid to the concealment of texture and motion errors, little has been done in the f... View full abstract»

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  • A model-based method for the computation of fingerprints' orientation field

    Publication Year: 2004, Page(s):821 - 835
    Cited by:  Papers (70)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2739 KB) | HTML iconHTML

    As a global feature of fingerprints, the orientation field is very important for automatic fingerprint recognition. Many algorithms have been proposed for orientation field estimation, but their results are unsatisfactory, especially for poor quality fingerprint images. In this paper, a model-based method for the computation of orientation field is proposed. First a combination model is establishe... View full abstract»

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  • Nonlinear prediction for Gaussian mixture image models

    Publication Year: 2004, Page(s):836 - 847
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1531 KB) | HTML iconHTML

    Prediction is an essential operation in many image processing applications, such as object detection and image and video compression. When the images are modeled as Gaussian, the optimal predictor is linear and easy to obtain. However, image texture and clutter are often non-Gaussian, and, in such cases, optimal predictors are difficult to obtain. In this paper, we derive an optimal predictor for ... View full abstract»

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  • On convergence of the Horn and Schunck optical-flow estimation method

    Publication Year: 2004, Page(s):848 - 852
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (147 KB) | HTML iconHTML

    The purpose of this study is to prove convergence results for the Horn and Schunck optical-flow estimation method. Horn and Schunck stated optical-flow estimation as the minimization of a functional. When discretized, the corresponding Euler-Lagrange equations form a linear system of equations. We write explicitly this system and order the equations in such a way that its matrix is symmetric posit... View full abstract»

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  • Constraining active contour evolution via Lie Groups of transformation

    Publication Year: 2004, Page(s):853 - 863
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (558 KB) | HTML iconHTML

    We present a novel approach to constraining the evolution of active contours used in image analysis. The proposed approach constrains the final curve obtained at convergence of curve evolution to be related to the initial curve from which evolution begins through an element of a desired Lie group of plane transformations. Constraining curve evolution in such a way is important in numerous tracking... View full abstract»

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  • IEEE Transactions on Image Processing Edics

    Publication Year: 2004, Page(s): 864
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  • IEEE Transactions on Image Processing Information for authors

    Publication Year: 2004, Page(s):865 - 866
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  • IEEE Signal Processing Society Information

    Publication Year: 2004, Page(s): c3
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Aims & Scope

IEEE Transactions on Image Processing focuses on signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing.

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Meet Our Editors

Editor-in-Chief
Scott Acton
University of Virginia
Charlottesville, VA, USA
E-mail: acton@virginia.edu 
Phone: +1 434-982-2003