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IEEE Transactions on Image Processing

Issue 11 • Nov. 2005

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Displaying Results 1 - 25 of 27
  • Table of contents

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

    Publication Year: 2005, Page(s): c2
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  • JBEAM: multiscale curve coding via beamlets

    Publication Year: 2005, Page(s):1665 - 1677
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (558 KB) | HTML iconHTML

    A multiscale coder for curves and boundaries is presented. It utilizes a multiscale structure-beamlets-that is designed primarily for linear and curvilinear features. The coder is composed of three main components: 1) a rate-distortion optimized beamlet-based representation, 2) a tree-based coding from a beamlet representation to a symbol stream, and 3) an entropy coder. This coder is named "JBEAM... View full abstract»

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  • Adaptive snakes using the EM algorithm

    Publication Year: 2005, Page(s):1678 - 1686
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1644 KB) | HTML iconHTML

    Deformable models (e.g., snakes) perform poorly in many image analysis problems. The contour model is attracted by edge points detected in the image. However, many edge points do not belong to the object contour, preventing the active contour from converging toward the object boundary. A new algorithm is proposed in this paper to overcome this difficulty. The algorithm is based on two key ideas. F... View full abstract»

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  • Affine-permutation invariance of 2-D shapes

    Publication Year: 2005, Page(s):1687 - 1700
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (904 KB) | HTML iconHTML

    Shapes provide a rich set of clues on the identity and topological properties of an object. In many imaging environments, however, the same object appears to have different shapes due to distortions such as translation, rotation, reflection, scaling, or skewing. Further, the order by which the object's feature points are scanned changes, i.e., the order of the pixels may be permuted. Relating two-... View full abstract»

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  • The long-range saliency of edge- and corner-based salient points

    Publication Year: 2005, Page(s):1701 - 1706
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (772 KB) | HTML iconHTML

    A major goal of salient-point (SP) detection is increasing computational efficiency. Therefore, methods which can detect saliency of a large region by evaluation of only a small local patch are of particular interest. This paper checks for well-known detectors whether saliency outreaches the actual SPs. View full abstract»

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  • Adaptive active appearance models

    Publication Year: 2005, Page(s):1707 - 1721
    Cited by:  Papers (49)  |  Patents (66)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1475 KB) | HTML iconHTML

    The active appearance model (AAM) is a powerful tool for modeling images of deformable objects and has been successfully used in a variety of alignment, tracking, and recognition applications. AAM uses subspace-based deformable models to represent the images of a certain object class. In general, fitting such complicated models to previously unseen images using standard optimization techniques is ... View full abstract»

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  • The Rician inverse Gaussian distribution: a new model for non-Rayleigh signal amplitude statistics

    Publication Year: 2005, Page(s):1722 - 1735
    Cited by:  Papers (49)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1153 KB) | HTML iconHTML

    In this paper, we introduce a new statistical distribution for modeling non-Rayleigh amplitude statistics, which we have called the Rician inverse Gaussian (RiIG) distribution. It is a mixture of the Rice distribution and the inverse Gaussian distribution. The probability density function (pdf) is given in closed form as a function of three parameters. This makes the pdf very flexible in the sense... View full abstract»

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  • Inclusion filters: a class of self-dual connected operators

    Publication Year: 2005, Page(s):1736 - 1746
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1368 KB) | HTML iconHTML

    In this paper, we define a connected operator that either fills or retains the holes of the connected sets depending on application-specific criteria that are increasing in the set theoretic sense. We refer to this class of connected operators as inclusion filters, which are shown to be increasing, idempotent, and self dual (gray-level inversion invariance). We demonstrate self duality for 8-adjac... View full abstract»

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  • A universal noise removal algorithm with an impulse detector

    Publication Year: 2005, Page(s):1747 - 1754
    Cited by:  Papers (233)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1801 KB) | HTML iconHTML

    We introduce a local image statistic for identifying noise pixels in images corrupted with impulse noise of random values. The statistical values quantify how different in intensity the particular pixels are from their most similar neighbors. We continue to demonstrate how this statistic may be incorporated into a filter designed to remove additive Gaussian noise. The result is a new filter capabl... View full abstract»

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  • Robust estimation approach for blind denoising

    Publication Year: 2005, Page(s):1755 - 1765
    Cited by:  Papers (33)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5336 KB) | HTML iconHTML

    This work develops a new robust statistical framework for blind image denoising. Robust statistics addresses the problem of estimation when the idealized assumptions about a system are occasionally violated. The contaminating noise in an image is considered as a violation of the assumption of spatial coherence of the image intensities and is treated as an outlier random variable. A denoised image ... View full abstract»

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  • Blind image restoration with eigen-face subspace

    Publication Year: 2005, Page(s):1766 - 1772
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1592 KB) | HTML iconHTML

    Performance of conventional image restoration methods is sensitive to signal-to-noise ratios. For heavily blurred and noisy human facial images, information contained in the eigen-face subspace can be used to compensate for the lost details. The blurred image is decomposed into the eigen-face subspace and then restored with a regularized total constrained least square method. With Generalized cros... View full abstract»

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  • Toward a generic evaluation of image segmentation

    Publication Year: 2005, Page(s):1773 - 1782
    Cited by:  Papers (87)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (552 KB) | HTML iconHTML

    Image segmentation plays a major role in a broad range of applications. Evaluating the adequacy of a segmentation algorithm for a given application is a requisite both to allow the appropriate selection of segmentation algorithms as well as to tune their parameters for optimal performance. However, objective segmentation quality evaluation is far from being a solved problem. In this paper, a gener... View full abstract»

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  • Generalized ISAR - part I: an optimal method for imaging large naval vessels

    Publication Year: 2005, Page(s):1783 - 1791
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (469 KB) | HTML iconHTML

    We describe a generalized inverse synthetic aperture radar (ISAR) process that performs well under a wide variety of conditions common to the naval ISAR tests of large vessels. In particular, the generalized ISAR process performs well in the presence of moderate intensity ship roll. The process maps localized scatterers onto peaks on the ISAR plot. However, in a generalized ISAR plot, each of the ... View full abstract»

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  • Generalized ISAR-part II: interferometric techniques for three-dimensional location of scatterers

    Publication Year: 2005, Page(s):1792 - 1797
    Cited by:  Papers (17)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (265 KB) | HTML iconHTML

    This paper is the second part of a study dedicated to optimizing diagnostic inverse synthetic aperture radar (ISAR) studies of large naval vessels. The method developed here provides accurate determination of the position of important radio-frequency scatterers by combining accurate knowledge of ship position and orientation with specialized signal processing. The method allows for the simultaneou... View full abstract»

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  • Isotropic polyharmonic B-splines: scaling functions and wavelets

    Publication Year: 2005, Page(s):1798 - 1813
    Cited by:  Papers (56)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2303 KB) | HTML iconHTML

    In this paper, we use polyharmonic B-splines to build multidimensional wavelet bases. These functions are nonseparable, multidimensional basis functions that are localized versions of radial basis functions. We show that Rabut's elementary polyharmonic B-splines do not converge to a Gaussian as the order parameter increases, as opposed to their separable B-spline counterparts. Therefore, we introd... View full abstract»

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  • Building robust wavelet estimators for multicomponent images using Stein's principle

    Publication Year: 2005, Page(s):1814 - 1830
    Cited by:  Papers (55)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3572 KB) | HTML iconHTML

    Multichannel imaging systems provide several observations of the same scene which are often corrupted by noise. In this paper, we are interested in multispectral image denoising in the wavelet domain. We adopt a multivariate statistical approach in order to exploit the correlations existing between the different spectral components. Our main contribution is the application of Stein's principle to ... View full abstract»

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  • Optimization of integer wavelet transforms based on difference correlation structures

    Publication Year: 2005, Page(s):1831 - 1847
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1402 KB) | HTML iconHTML

    In this paper, a novel lifting integer wavelet transform based on difference correlation structure (DCCS-LIWT) is proposed. First, we establish a relationship between the performance of a linear predictor and the difference correlations of an image. The obtained results provide a theoretical foundation for the following construction of the optimal lifting filters. Then, the optimal prediction lift... View full abstract»

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  • Reconstructing arbitrarily focused images from two differently focused images using linear filters

    Publication Year: 2005, Page(s):1848 - 1859
    Cited by:  Papers (29)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2562 KB) | HTML iconHTML

    We present a novel filtering method for reconstructing an all-in-focus image or an arbitrarily focused image from two images that are focused differently. The method can arbitrarily manipulate the degree of blur of the objects using linear filters without segmentation. The filters are uniquely determined from a linear imaging model in the Fourier domain. An effective and accurate blur estimation m... View full abstract»

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  • Super-resolution reconstruction of hyperspectral images

    Publication Year: 2005, Page(s):1860 - 1875
    Cited by:  Papers (80)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3602 KB) | HTML iconHTML

    Hyperspectral images are used for aerial and space imagery applications, including target detection, tracking, agricultural, and natural resource exploration. Unfortunately, atmospheric scattering, secondary illumination, changing viewing angles, and sensor noise degrade the quality of these images. Improving their resolution has a high payoff, but applying super-resolution techniques separately t... View full abstract»

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  • Polyphase antialiasing in resampling of images

    Publication Year: 2005, Page(s):1876 - 1889
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (927 KB) | HTML iconHTML

    Changing resolution of images is a common operation. It is also common to use simple, i.e., small, interpolation kernels satisfying some "smoothness" qualities that are determined in the spatial domain. Typical applications use linear interpolation or piecewise cubic interpolation. These are popular since the interpolation kernels are small and the results are acceptable. However, since the interp... View full abstract»

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  • Wireless image transmission using turbo codes and optimal unequal error protection

    Publication Year: 2005, Page(s):1890 - 1901
    Cited by:  Papers (50)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (872 KB) | HTML iconHTML

    A novel image transmission scheme is proposed for the communication of set partitioning in hierarchical trees image streams over wireless channels. The proposed scheme employs turbo codes and Reed-Solomon codes in order to deal effectively with burst errors. An algorithm for the optimal unequal error protection of the compressed bitstream is also proposed and applied in conjunction with an inheren... View full abstract»

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  • A Bayesian framework for noise covariance estimation using the facet model

    Publication Year: 2005, Page(s):1902 - 1917
    Cited by:  Papers (2)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (648 KB) | HTML iconHTML

    In image processing literature, thus far, researchers have assumed the perturbation in the data to be white (or uncorrelated) having a covariance matrix σ2 I, i.e., assumption of equal variance for all the data samples and that no correlation exists between the data samples. However, there have been very few attempts to estimate noise characteristics under the assumption that ther... View full abstract»

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  • No-reference quality assessment using natural scene statistics: JPEG2000

    Publication Year: 2005, Page(s):1918 - 1927
    Cited by:  Papers (243)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (661 KB) | HTML iconHTML

    Measurement of image or video quality is crucial for many image-processing algorithms, such as acquisition, compression, restoration, enhancement, and reproduction. Traditionally, image quality assessment (QA) algorithms interpret image quality as similarity with a "reference" or "perfect" image. The obvious limitation of this approach is that the reference image or video may not be available to t... View full abstract»

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  • Modeling visual attention's modulatory aftereffects on visual sensitivity and quality evaluation

    Publication Year: 2005, Page(s):1928 - 1942
    Cited by:  Papers (104)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2516 KB) | HTML iconHTML

    With the fast development of visual noise-shaping related applications (visual compression, error resilience, watermarking, encryption, and display), there is an increasingly significant demand on incorporating perceptual characteristics into these applications for improved performance. In this paper, a very important mechanism of the human brain, visual attention, is introduced for visual sensiti... 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