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IEEE Transactions on Image Processing

Issue 9 • Sep 1995

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Displaying Results 1 - 16 of 16
  • DPA: a deterministic approach to the MAP problem

    Publication Year: 1995, Page(s):1312 - 1314
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB)

    Deterministic pseudo-annealing (DPA) is a new deterministic optimization method for finding the maximum a posteriori (MAP) labeling in a Markov random field, in which the probability of a tentative labeling is extended to a merit function on continuous labelings. This function is made convex by changing its definition domain. This unambiguous maximization problem is solved, and the solution is fol... View full abstract»

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  • Motion-based object segmentation and estimation using the MDL principle

    Publication Year: 1995, Page(s):1223 - 1235
    Cited by:  Papers (32)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1156 KB)

    There are increasing demands for ultralow bit-rate video image transmission. We present a new formulation of moving object segmentation and motion estimation to quantify the potential gain in using object-oriented motion compensation in image sequence coding. Motivated by real-valued parameter estimation required in object-oriented motion-compensated video source coding, a framework motivated by R... View full abstract»

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  • Image classification using spectral and spatial information based on MRF models

    Publication Year: 1995, Page(s):1333 - 1339
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (392 KB)

    A new criterion for classifying multispectral remote sensing images or textured images by using spectral and spatial information is proposed. The images are modeled with a hierarchical Markov Random Field (MRF) model that consists of the observed intensity process and the hidden class label process. The class labels are estimated according to the maximum a posteriori (MAP) criterion, but some reas... View full abstract»

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  • Roughness penalties on finite domains

    Publication Year: 1995, Page(s):1258 - 1268
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (828 KB)

    A class of penalty functions for use in estimation and image regularization is proposed. These penalty functions are defined for vectors whose indexes are locations in a finite lattice as the discrepancy between the vector and a shifted version of itself. After motivating this class of penalty functions, their relationship to Markov random field priors is explored. One of the penalty functions pro... View full abstract»

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  • Inverse halftoning using binary permutation filters

    Publication Year: 1995, Page(s):1296 - 1311
    Cited by:  Papers (16)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3140 KB)

    The problem of reconstructing a continuous-tone image given its ordered dithered halftone or its error-diffused halftone image is considered. We develop a modular class of nonlinear filters that can reconstruct the continuous-tone information preserving image details and edges that provide important visual cues. The proposed nonlinear reconstruction algorithms, denoted as binary permutation filter... View full abstract»

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  • Geometric transformations on the hexagonal grid

    Publication Year: 1995, Page(s):1213 - 1222
    Cited by:  Papers (41)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (780 KB)

    The hexagonal grid has long been known to be superior to the more traditional rectangular grid system in many aspects in image processing and machine vision related fields. However, systematic developments of the mathematical backgrounds for the hexagonal grid are conspicuously lacking. The purpose of this paper is to study geometric transformations on the hexagonal grid. Formulations of the trans... View full abstract»

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  • Linear-quadratic noise-smoothing filters for quantum-limited images

    Publication Year: 1995, Page(s):1328 - 1333
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (892 KB)

    We consider the use of nonlinear estimators for the noise smoothing of images obtained under quantum-limited imaging conditions. A Volterra expansion is investigated from which a set of linear-quadratic filters is derived using higher order statistics. The filters are applicable for single frame and multiple frames of a single scene imaged under low-light levels View full abstract»

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  • Binary image synthesis using mixed linear integer programming

    Publication Year: 1995, Page(s):1252 - 1257
    Cited by:  Papers (27)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (544 KB)

    Images that are to be transmitted through a distorting imaging system may be deliberately altered to compensate for that distortion. The authors consider an incoherent diffraction-limited imaging system followed by an ideal high-contrast detector that prints binary images, and seek a binary input image (a mask) that generates a desired prescribed binary output image. They have developed a method f... View full abstract»

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  • Sequential scalar quantization of vectors: an analysis

    Publication Year: 1995, Page(s):1282 - 1295
    Cited by:  Papers (18)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1260 KB)

    Proposes an efficient vector quantization (VQ) technique called sequential scalar quantization (SSQ). The scalar components of the vector are individually quantized in a sequence, with the quantization of each component utilizing conditional information from the quantization of previous components. Unlike conventional independent scalar quantization (ISQ), SSQ has the ability to exploit intercompo... View full abstract»

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  • Nonuniform image representation in area-of-interest systems

    Publication Year: 1995, Page(s):1202 - 1212
    Cited by:  Papers (8)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1336 KB)

    This paper is concerned with image representation by data distributed nonuniformly and in particular with a representation scheme suitable for “area-of-interest” imaging. The class of signals under consideration, whose information density varies with position, can be represented according to a nonuniform sampling scheme. Position-varying projection operators are presented as simple low... View full abstract»

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  • A frequency domain performance analysis of Horn and Schunck's optical flow algorithm for deformable motion

    Publication Year: 1995, Page(s):1324 - 1327
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB)

    A frequency domain performance analysis of Horn and Schunck's (1981) optical flow (HSOF) algorithm for estimation of deformable motion is presented. Noise sources in the algorithm are modeled using the discrete Fourier transform of the brightness pattern. This noise model along with the estimation error covariance function derived in previous work is used to derive an expression for the expected p... View full abstract»

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  • Discrete minimum entropy quantization

    Publication Year: 1995, Page(s):1314 - 1317
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB)

    We present a simple lower bound on the entropy of a quantized signal and a method for determining the minimum entropy quantization, subject to a maximum distortion, for a discrete memoryless random process. This quantization allows more efficient use of variable-order models for compression of images and sound View full abstract»

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  • Simultaneous recursive displacement estimation and restoration of noisy-blurred image sequences

    Publication Year: 1995, Page(s):1236 - 1251
    Cited by:  Papers (26)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1596 KB)

    We develop a recursive model-based maximum a posteriori (MAP) estimator that simultaneously estimates the displacement vector field (DVF) and the intensity field from a noisy-blurred image sequence. Current motion-compensated spatio-temporal noise filters treat the estimation of the DVF as a preprocessing step. Generally, no attempt is made to verify the accuracy of these estimates prior to their ... View full abstract»

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  • A multiscale relaxation algorithm for SNR maximization in nonorthogonal subband coding

    Publication Year: 1995, Page(s):1269 - 1281
    Cited by:  Papers (23)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1564 KB)

    Develops a technique for improving the applicability of complete, nonorthogonal, multiresolution transforms to image coding. As is well known, the L2 norm of the quantization errors is not preserved by nonorthogonal transforms, so the L2 reconstruction error may be unacceptably large. However, given the quantizers and synthesis filters, the authors show that this artifact can... View full abstract»

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  • Fuzzy vector quantization algorithms and their application in image compression

    Publication Year: 1995, Page(s):1193 - 1201
    Cited by:  Papers (66)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (988 KB)

    This paper presents the development and evaluation of fuzzy vector quantization algorithms. These algorithms are designed to achieve the quality of vector quantizers provided by sophisticated but computationally demanding approaches, while capturing the advantages of the frequently used in practice k-means algorithm, such as speed, simplicity, and conceptual appeal. The uncertainty typically assoc... View full abstract»

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  • Size-limited filter banks for subband image compression

    Publication Year: 1995, Page(s):1317 - 1323
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (972 KB)

    A size-limited filter bank (SLFB) is a maximally decimated filter bank operating on a finite length (duration) input signal resulting in subband components whose total number of independent samples is equal to the number of input samples. A theoretical framework for the design, analysis, and implementation of such filter banks resulting from applying FIR separable filter banks to finite length sig... 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