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IEEE Transactions on Image Processing

Issue 1 • Jan. 2005

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Displaying Results 1 - 15 of 15
  • Table of contents

    Publication Year: 2005, Page(s):c1 - c4
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  • IEEE Transactions on Image Processing publication information

    Publication Year: 2005, Page(s): c2
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  • Compression of map images by multilayer context tree modeling

    Publication Year: 2005, Page(s):1 - 11
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1181 KB) | HTML iconHTML

    We propose a method for compressing color map images by context tree modeling and arithmetic coding. We consider multicomponent map images with semantic layer separation and images that are divided into binary layers by color separation. The key issue in the compression method is the utilization of interlayer correlations, and to solve the optimal ordering of the layers. The interlayer dependencie... View full abstract»

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  • Pseudopolar-based estimation of large translations, rotations, and scalings in images

    Publication Year: 2005, Page(s):12 - 22
    Cited by:  Papers (68)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1370 KB) | HTML iconHTML

    One of the major challenges related to image registration is the estimation of large motions without prior knowledge. This work presents a Fourier-based approach that estimates large translations, scalings, and rotations. The algorithm uses the pseudopolar (PP) Fourier transform to achieve substantial improved approximations of the polar and log-polar Fourier transforms of an image. Thus, rotation... View full abstract»

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  • Approximating filtered scale-variant signals

    Publication Year: 2005, Page(s):23 - 35
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3402 KB) | HTML iconHTML

    We develop theorems that place limits on the point-wise approximation of the responses of filters, both linear shift invariant (LSI) and linear shift variant (LSV), to input signals and images that are LSV in the following sense: they can be expressed as the outputs of systems with LSV impulse responses, where the shift variance is with respect to the filter scale of a single-prototype filter. The... View full abstract»

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  • Regression-based prediction for blocking artifact reduction in JPEG-compressed images

    Publication Year: 2005, Page(s):36 - 48
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1566 KB) | HTML iconHTML

    In order to reduce the blocking artifact in the Joint Photographic Experts Group (JPEG)-compressed images, a new noniterative postprocessing algorithm is proposed. The algorithm consists of a two-step operation: low-pass filtering and then predicting. Predicting the original image from the low-pass filtered image is performed by using the predictors, which are constructed based on a broken line re... View full abstract»

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  • Combined morphological-spectral unsupervised image segmentation

    Publication Year: 2005, Page(s):49 - 62
    Cited by:  Papers (81)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3183 KB) | HTML iconHTML

    The goal of segmentation is to partition an image into disjoint regions, in a manner consistent with human perception of the content. For unsupervised segmentation of general images, however, there is the competing requirement not to make prior assumptions about the scene. Here, a two-stage method for general image segmentation is proposed, which is capable of processing both textured and nontextu... View full abstract»

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  • Conditional filters for image sequence-based tracking - application to point tracking

    Publication Year: 2005, Page(s):63 - 79
    Cited by:  Papers (27)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4171 KB) | HTML iconHTML

    A new conditional formulation of classical filtering methods is proposed. This formulation is dedicated to image sequence-based tracking. These conditional filters allow solving systems whose measurements and state equation are estimated from the image data. In particular, the model that is considered for point tracking combines a state equation relying on the optical flow constraint and measureme... View full abstract»

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  • Statistical processing of large image sequences

    Publication Year: 2005, Page(s):80 - 93
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (801 KB) | HTML iconHTML

    The dynamic estimation of large-scale stochastic image sequences, as frequently encountered in remote sensing, is important in a variety of scientific applications. However, the size of such images makes conventional dynamic estimation methods, for example, the Kalman and related filters, impractical. We present an approach that emulates the Kalman filter, but with considerably reduced computation... View full abstract»

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  • Bayesian algorithms for simultaneous structure from motion estimation of multiple independently moving objects

    Publication Year: 2005, Page(s):94 - 109
    Cited by:  Papers (9)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2755 KB) | HTML iconHTML

    The problem of simultaneous structure from motion estimation for multiple independently moving objects from a monocular image sequence is addressed. Two Bayesian algorithms are presented for solving this problem using the sequential importance sampling (SIS) technique. The empirical posterior distribution of object motion and feature separation parameters is approximated by weighted samples. The f... View full abstract»

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  • Multidimensional, mapping-based complex wavelet transforms

    Publication Year: 2005, Page(s):110 - 124
    Cited by:  Papers (26)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (746 KB) | HTML iconHTML

    Although the discrete wavelet transform (DWT) is a powerful tool for signal and image processing, it has three serious disadvantages: shift sensitivity, poor directionality, and lack of phase information. To overcome these disadvantages, we introduce multidimensional, mapping-based, complex wavelet transforms that consist of a mapping onto a complex function space followed by a DWT of the complex ... View full abstract»

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  • A general framework for nonlinear multigrid inversion

    Publication Year: 2005, Page(s):125 - 140
    Cited by:  Papers (31)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (762 KB) | HTML iconHTML

    A variety of new imaging modalities, such as optical diffusion tomography, require the inversion of a forward problem that is modeled by the solution to a three-dimensional (3D) partial differential equation. For these applications, image reconstruction is particularly difficult because the forward problem is both nonlinear and computationally expensive to evaluate. We propose a general framework ... View full abstract»

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  • IEEE Transactions on Image Processing Information for authors

    Publication Year: 2005, Page(s):141 - 142
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    Freely Available from IEEE
  • IEEE copyright form

    Publication Year: 2005, Page(s):143 - 144
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  • IEEE Signal Processing Society Information

    Publication Year: 2005, 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