IEEE Transactions on Image Processing

Issue 4 • April 2004

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Displaying Results 1 - 22 of 22
  • 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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  • Improving the accuracy of volumetric segmentation using pre-processing boundary detection and image reconstruction

    Publication Year: 2004, Page(s):459 - 466
    Cited by:  Papers (11)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (418 KB) | HTML iconHTML

    The concentration edge -detection and Gegenbauer image-reconstruction methods were previously shown to improve the quality of segmentation in magnetic resonance imaging. In this study, these methods are utilized as a pre-processing step to the Weibull E-SD field segmentation. It is demonstrated that the combination of the concentration edge detection and Gegenbauer reconstruction method improves t... View full abstract»

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  • Nonparametric algorithm for local frequency estimation of multidimensional signals

    Publication Year: 2004, Page(s):467 - 474
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (621 KB) | HTML iconHTML

    Local frequency (LF) estimation of multidimensional (md) signals is considered. The md-Wigner distribution (WD) is used as the LF estimator. The LF is estimated based on the positions of the WD maxima. A nonparametric algorithm for the LF estimation is developed. It is based on the intersection of confidence intervals rule. This algorithm produces an adaptive window size in the WD which gives almo... View full abstract»

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  • Wavelet thresholding of multivalued images

    Publication Year: 2004, Page(s):475 - 483
    Cited by:  Papers (45)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (603 KB) | HTML iconHTML

    In this paper, a denoising technique for multivalued images exploiting interband correlations is proposed. A redundant wavelet transform is applied and denoising is applied by thresholding wavelet coefficients. Specific functions of the wavelet coefficients are defined that exploit interscale and/or interband correlation of the signal. Three functions are studied: the square of the wavelet coeffic... View full abstract»

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  • Multiresolution moment filters: theory and applications

    Publication Year: 2004, Page(s):484 - 495
    Cited by:  Papers (24)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (691 KB) | HTML iconHTML

    We introduce local weighted geometric moments that are computed from an image within a sliding window at multiple scales. When the window function satisfies a two-scale relation, we prove that lower order moments can be computed efficiently at dyadic scales by using a multiresolution wavelet-like algorithm. We show that B-splines are well-suited window functions because, in addition to being refin... View full abstract»

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  • Differentiation of discrete multidimensional signals

    Publication Year: 2004, Page(s):496 - 508
    Cited by:  Papers (94)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (749 KB) | HTML iconHTML

    We describe the design of finite-size linear-phase separable kernels for differentiation of discrete multidimensional signals. The problem is formulated as an optimization of the rotation-invariance of the gradient operator, which results in a simultaneous constraint on a set of one-dimensional low-pass prefilter and differentiator filters up to the desired order. We also develop extensions of thi... View full abstract»

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  • Optimal context quantization in lossless compression of image data sequences

    Publication Year: 2004, Page(s):509 - 517
    Cited by:  Papers (14)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (325 KB) | HTML iconHTML

    In image compression context-based entropy coding is commonly used. A critical issue to the performance of context-based image coding is how to resolve the conflict of a desire for large templates to model high-order statistic dependency of the pixels and the problem of context dilution due to insufficient sample statistics of a given input image. We consider the problem of finding the optimal qua... View full abstract»

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  • Active contours for tracking distributions

    Publication Year: 2004, Page(s):518 - 526
    Cited by:  Papers (122)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (975 KB) | HTML iconHTML

    A new approach to tracking using active contours is presented. The class of objects to be tracked is assumed to be characterized by a probability distribution over some variable, such as intensity, color, or texture. The goal of the algorithm is to find the region within the current image, such that the sample distribution of the interior of the region most closely matches the model distribution. ... View full abstract»

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  • Modeling SAR images with a generalization of the Rayleigh distribution

    Publication Year: 2004, Page(s):527 - 533
    Cited by:  Papers (108)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (296 KB) | HTML iconHTML

    Synthetic aperture radar (SAR) imagery has found important applications due to its clear advantages over optical satellite imagery one of them being able to operate in various weather conditions. However, due to the physics of the radar imaging process, SAR images contain unwanted artifacts in the form of a granular look which is called speckle. The assumptions of the classical SAR image generatio... View full abstract»

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  • A new class of chromatic filters for color image processing. theory and applications

    Publication Year: 2004, Page(s):534 - 548
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (919 KB) | HTML iconHTML

    This paper advances a new framework for chromatic filtering of color images. The chromatic content of a color image is encoded in the CIE u'v' chromaticity coordinates whereas the achromatic content is encoded as CIE Y tristimulus value. Within the u'v' chromaticity diagram, colors are added according to the well-known center of gravity law of additive color mixtures, which is generalized here int... View full abstract»

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  • 3-D reconstruction of 2-D crystals in real space

    Publication Year: 2004, Page(s):549 - 561
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1665 KB) | HTML iconHTML

    A new algorithm for three-dimensional reconstruction of two-dimensional crystals from projections is presented, and its applicability to biological macromolecules imaged using transmission electron microscopy (TEM) is investigated. Its main departures from the traditional approach is that it works in real space, rather than in Fourier space, and it is iterative. This has the advantage of making it... View full abstract»

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  • Level set analysis for leukocyte detection and tracking

    Publication Year: 2004, Page(s):562 - 572
    Cited by:  Papers (117)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (622 KB) | HTML iconHTML

    We propose a cell detection and tracking solution using image-level sets computed via threshold decomposition. In contrast to existing methods where manual initialization is required to track individual cells, the proposed approach can automatically identify and track multiple cells by exploiting the shape and intensity characteristics of the cells. The capture of the cell boundary is considered a... View full abstract»

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  • Spatially adaptive high-resolution image reconstruction of DCT-based compressed images

    Publication Year: 2004, Page(s):573 - 585
    Cited by:  Papers (11)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (800 KB) | HTML iconHTML

    The problem of recovering a high-resolution image from a sequence of low-resolution DCT-based compressed observations is considered in this paper. The introduction of compression complicates the recovery problem. We analyze the DCT quantization noise and propose to model it in the spatial domain as a colored Gaussian process. This allows us to estimate the quantization noise at low bit-rates witho... View full abstract»

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  • Spatial shape error concealment for object-based image and video coding

    Publication Year: 2004, Page(s):586 - 599
    Cited by:  Papers (28)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (965 KB) | HTML iconHTML

    In this paper, an original spatial shape error-concealment technique, to be used in the context of object-based image and video coding schemes, is proposed. In this technique, it is assumed that the shape of the corrupted object at hand is in the form of a binary alpha plane, in which some of the shape data is missing due to channel errors. From this alpha plane, a contour corresponding to the bor... View full abstract»

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  • Image quality assessment: from error visibility to structural similarity

    Publication Year: 2004, Page(s):600 - 612
    Cited by:  Papers (8442)  |  Patents (140)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1726 KB) | HTML iconHTML

    Objective methods for assessing perceptual image quality traditionally attempted to quantify the visibility of errors (differences) between a distorted image and a reference image using a variety of known properties of the human visual system. Under the assumption that human visual perception is highly adapted for extracting structural information from a scene, we introduce an alternative compleme... View full abstract»

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  • An adaptive Gaussian model for satellite image deblurring

    Publication Year: 2004, Page(s):613 - 621
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (330 KB) | HTML iconHTML

    The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the reconstructed solution. Since real satellite data show spatially variant characteristics, we propose here to use an inhomogeneous model. We use the maximum likelihood estimator (MLE) to estimate its parameters and we show that... View full abstract»

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  • IEEE Transactions on Image Processing Edics

    Publication Year: 2004, Page(s): 622
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  • IEEE Transactions on Image Processing Information for authors

    Publication Year: 2004, Page(s):623 - 624
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  • Special issue on supplement on secure media

    Publication Year: 2004, Page(s): 625
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  • Special issue on speech-to-speech machine translation

    Publication Year: 2004, Page(s): 626
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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.

Full Aims & Scope

Meet Our Editors

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