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Image Processing, IEEE Transactions on

Issue 3 • Date March 2008

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Displaying Results 1 - 25 of 25
  • Table of contents

    Publication Year: 2008 , Page(s): C1 - C4
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  • IEEE Transactions on Image Processing publication information

    Publication Year: 2008 , Page(s): C2
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  • Change Detection in Multisensor SAR Images Using Bivariate Gamma Distributions

    Publication Year: 2008 , Page(s): 249 - 258
    Cited by:  Papers (21)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1818 KB) |  | HTML iconHTML  

    This paper studies a family of distributions constructed from multivariate gamma distributions to model the statistical properties of multisensor synthetic aperture radar (SAR) images. These distributions referred to as multisensor multivariate gamma distributions (MuMGDs) are potentially interesting for detecting changes in SAR images acquired by different sensors having different numbers of look... View full abstract»

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  • MICA: A Multilinear ICA Decomposition for Natural Scene Modeling

    Publication Year: 2008 , Page(s): 259 - 271
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1912 KB) |  | HTML iconHTML  

    We refine the classical independent component analysis (ICA) decomposition using a multilinear expansion of the probability density function of the source statistics. In particular, we introduce a specific nonlinear system that allows us to elegantly capture the statistical dependences between the responses of the multilinear ICA (MICA) filters. The resulting multilinear probability density is ana... View full abstract»

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  • Orthogonal Rotation-Invariant Moments for Digital Image Processing

    Publication Year: 2008 , Page(s): 272 - 282
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1304 KB) |  | HTML iconHTML  

    Orthogonal rotation-invariant moments (ORIMs), such as Zernike moments, are introduced and defined on a continuous unit disk and have been proven powerful tools in optics applications. These moments have also been digitized for applications in digital image processing. Unfortunately, digitization compromises the orthogonality of the moments and, therefore, digital ORIMs are incapable of representi... View full abstract»

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  • On the Construction of Invertible Filter Banks on the 2-Sphere

    Publication Year: 2008 , Page(s): 283 - 300
    Cited by:  Papers (23)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2654 KB) |  | HTML iconHTML  

    The theories of signal sampling, filter banks, wavelets, and ldquoovercomplete waveletsrdquo are well established for the Euclidean spaces and are widely used in the processing and analysis of images. While recent advances have extended some filtering methods to spherical images, many key challenges remain. In this paper, we develop theoretical conditions for the invertibility of filter banks unde... View full abstract»

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  • Identification of Reflected, Scaled, Translated, and Rotated Objects From Their Radon Projections

    Publication Year: 2008 , Page(s): 301 - 310
    Cited by:  Papers (13)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (542 KB) |  | HTML iconHTML  

    In this paper, we present a method for identification of binary objects from a given set of radon projections. Given a suitably regular 2D function , we form a new function from f by using the operations of reflection, scaling, translation, and rotation. We show how the radon projections of are related to those of and devise a procedure that can be used to determine the parameters from the radon p... View full abstract»

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  • Image Feature Localization by Multiple Hypothesis Testing of Gabor Features

    Publication Year: 2008 , Page(s): 311 - 325
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2685 KB) |  | HTML iconHTML  

    Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recently been proposed. The methods are based on a localization of image features and a spatial constellation search over the localized features. The accuracy and reliability of the methods depend on the success of both tasks:... View full abstract»

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  • Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation

    Publication Year: 2008 , Page(s): 326 - 339
    Cited by:  Papers (51)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2884 KB) |  | HTML iconHTML  

    In this paper, we propose novel algorithms for total variation (TV) based image restoration and parameter estimation utilizing variational distribution approximations. Within the hierarchical Bayesian formulation, the reconstructed image and the unknown hyperparameters for the image prior and the noise are simultaneously estimated. The proposed algorithms provide approximations to the posterior di... View full abstract»

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  • Blind Separation of Superimposed Shifted Images Using Parameterized Joint Diagonalization

    Publication Year: 2008 , Page(s): 340 - 353
    Cited by:  Papers (10)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1467 KB) |  | HTML iconHTML  

    We consider the blind separation of source images from linear mixtures thereof, involving different relative spatial shifts of the sources in each mixture. Such mixtures can be caused, e.g., by the presence of a semi-reflective medium (such as a window glass) across a photographed scene, due to slight movements of the medium (or of the sources) between snapshots. Classical separation approaches as... View full abstract»

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  • Local Features for Enhancement and Minutiae Extraction in Fingerprints

    Publication Year: 2008 , Page(s): 354 - 363
    Cited by:  Papers (26)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3687 KB) |  | HTML iconHTML  

    Accurate fingerprint recognition presupposes robust feature extraction which is often hampered by noisy input data. We suggest common techniques for both enhancement and minutiae extraction, employing symmetry features. For enhancement, a Laplacian-like image pyramid is used to decompose the original fingerprint into sub-bands corresponding to different spatial scales. In a further step, contextua... View full abstract»

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  • Generalized Flooding and Multicue PDE-Based Image Segmentation

    Publication Year: 2008 , Page(s): 364 - 376
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2039 KB) |  | HTML iconHTML  

    Image segmentation remains an important, but hard-to-solve, problem since it appears to be application dependent with usually no a priori information available regarding the image structure. Moreover, the increasing demands of image analysis tasks in terms of segmentation results' quality introduce the necessity of employing multiple cues for improving image segmentation results. In this paper, we... View full abstract»

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  • A Generic Shape/Texture Descriptor Over Multiscale Edge Field: 2-D Walking Ant Histogram

    Publication Year: 2008 , Page(s): 377 - 391
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2710 KB) |  | HTML iconHTML  

    A novel shape descriptor, which can be extracted from the major object edges automatically and used for the multimedia content-based retrieval in multimedia databases, is presented. By adopting a multiscale approach over the edge field where the scale represents the amount of simplification, the most relevant edge segments, referred to as subsegments, which eventually represent the major object bo... View full abstract»

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  • Robust Shape Tracking With Multiple Models in Ultrasound Images

    Publication Year: 2008 , Page(s): 392 - 406
    Cited by:  Papers (22)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1190 KB) |  | HTML iconHTML  

    This paper addresses object tracking in ultrasound images using a robust multiple model tracker. The proposed tracker has the following features: 1) it uses multiple dynamic models to track the evolution of the object boundary, and 2) it models invalid observations (outliers), reducing their influence on the shape estimates. The problem considered in this paper is the tracking of the left ventricl... View full abstract»

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  • Integrating Concept Ontology and Multitask Learning to Achieve More Effective Classifier Training for Multilevel Image Annotation

    Publication Year: 2008 , Page(s): 407 - 426
    Cited by:  Papers (42)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2913 KB) |  | HTML iconHTML  

    In this paper, we have developed a new scheme for achieving multilevel annotations of large-scale images automatically. To achieve more sufficient representation of various visual properties of the images, both the global visual features and the local visual features are extracted for image content representation. To tackle the problem of huge intraconcept visual diversity, multiple types of kerne... View full abstract»

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  • Enhancing Poisson's Equation-Based Approach for DCT Prediction

    Publication Year: 2008 , Page(s): 427 - 430
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (775 KB) |  | HTML iconHTML  

    Yamatani and Saito recently published an interesting method for predicting discrete cosine transform (DCT) coefficients of an image block, which uses partial derivatives of the image at the block boundary points. It estimates partial derivatives the same way for all four side boundary points. In this correspondence, we improve their estimation method for the left and top side boundary points by ob... View full abstract»

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  • IEEE Transactions on Image Processing EDICS

    Publication Year: 2008 , Page(s): 431
    Save to Project icon | Request Permissions | PDF file iconPDF (24 KB)  
    Freely Available from IEEE
  • IEEE Transactions on Image Processing Information for authors

    Publication Year: 2008 , Page(s): 432 - 433
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    Freely Available from IEEE
  • Leading the field since 1884 [advertisement]

    Publication Year: 2008 , Page(s): 434
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    Publication Year: 2008 , Page(s): 435
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    Publication Year: 2008 , Page(s): 436
    Save to Project icon | Request Permissions | PDF file iconPDF (340 KB)  
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  • Order form for reprints

    Publication Year: 2008 , Page(s): 437
    Save to Project icon | Request Permissions | PDF file iconPDF (337 KB)  
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  • IEEE Foundation [advertisement]

    Publication Year: 2008 , Page(s): 438
    Save to Project icon | Request Permissions | PDF file iconPDF (303 KB)  
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  • IEEE copyright form

    Publication Year: 2008 , Page(s): 439 - 440
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  • IEEE Signal Processing Society Information

    Publication Year: 2008 , Page(s): C3
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    Freely Available from IEEE

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