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IEEE Transactions on Image Processing

Issue 4 • Date April 2003

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Displaying Results 1 - 9 of 9
  • From the editor-in-chief

    Publication Year: 2003, Page(s):393 - 394
    Request permission for commercial reuse | PDF file iconPDF (189 KB) | HTML iconHTML
    Freely Available from IEEE
  • A note on cubic convolution interpolation

    Publication Year: 2003, Page(s):477 - 479
    Cited by:  Papers (31)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (226 KB) | HTML iconHTML

    We establish a link between classical osculatory interpolation and modern convolution-based interpolation and use it to show that two well-known cubic convolution schemes are formally equivalent to two osculatory interpolation schemes proposed in the actuarial literature about a century ago. We also discuss computational differences and give examples of other cubic interpolation schemes not previo... View full abstract»

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  • Deconvolution by thresholding in mirror wavelet bases

    Publication Year: 2003, Page(s):446 - 457
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (894 KB) | HTML iconHTML

    The deconvolution of signals is studied with thresholding estimators that decompose signals in an orthonormal basis and threshold the resulting coefficients. A general criterion is established to choose the orthonormal basis in order to minimize the estimation risk. Wavelet bases are highly sub-optimal to restore signals and images blurred by a low-pass filter whose transfer function vanishes at h... View full abstract»

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  • A fast parametric motion estimation algorithm with illumination and lens distortion correction

    Publication Year: 2003, Page(s):395 - 408
    Cited by:  Papers (34)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1271 KB) | HTML iconHTML

    Methods for estimating motion in video sequences that are based on the optical flow equation (OFE) assume that the scene illumination is uniform and that the imaging optics are ideal. When these assumptions are appropriate, these methods can be very accurate, but when they are not, the accuracy of the motion field drops off accordingly. This paper extends the models upon which the OFE methods are ... View full abstract»

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  • Efficient sign coding and estimation of zero-quantized coefficients in embedded wavelet image codecs

    Publication Year: 2003, Page(s):420 - 430
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (586 KB) | HTML iconHTML

    Wavelet transform coefficients are defined by both a magnitude and a sign. While efficient algorithms exist for coding the transform coefficient magnitudes, current wavelet image coding algorithms are not as efficient at coding the sign of the transform coefficients. It is generally assumed that there is no compression gain to be obtained from entropy coding of the sign. Only recently have some au... View full abstract»

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  • A new iterated two-band diffusion equation:theory and its application

    Publication Year: 2003, Page(s):466 - 476
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1184 KB) | HTML iconHTML

    We propose an iterated two-band filtering method to solve the selective image smoothing problem. We prove that a discrete computation step in an iterated nonlinear diffusion-based filtering algorithm is equivalent to a sequence of operations, including decomposition, regularization, and then reconstruction, in the proposed two-band filtering scheme. To correctly separate the high frequency compone... View full abstract»

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  • Multivariate MIMO FIR inverses

    Publication Year: 2003, Page(s):458 - 465
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (736 KB) | HTML iconHTML

    The problem of computing exact finite impulse response (FIR) inverses for multivariate multiple-input multiple-output (MIMO) FIR systems is considered. Necessary and sufficient conditions for invertibility are given, along with computation techniques. Random systems and structured systems are defined. Necessary and sufficient conditions for the almost sure invertibility of structured random system... View full abstract»

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  • Jointly registering images in domain and range by piecewise linear comparametric analysis

    Publication Year: 2003, Page(s):409 - 419
    Cited by:  Papers (27)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1271 KB) | HTML iconHTML

    This paper describes an approach whereby comparametric analysis is used in jointly registering image pairs in their domain and range, i.e., in their spatial coordinates and pixel values, respectively. This is accomplished by approximating a camera's nonlinear comparametric function with a constrained piecewise linear one. The optimal fitting of this approximation to comparagram data is then used i... View full abstract»

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  • Robust optical flow estimation based on a sparse motion trajectory set

    Publication Year: 2003, Page(s):431 - 445
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1422 KB) | HTML iconHTML

    This paper presents an approach to the problem of estimating a dense optical flow field. The approach is based on a multiframe, irregularly spaced motion trajectory set, where each trajectory describes the motion of a given point as a function of time. From this motion trajectory set a dense flow field is estimated using a process of interpolation. A set of localized motion models are estimated, w... View full abstract»

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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