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Image Processing, IEEE Transactions on

Issue 7 • Date July 2008

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Displaying Results 1 - 24 of 24
  • 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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  • Geometry-Based Distributed Scene Representation With Omnidirectional Vision Sensors

    Publication Year: 2008 , Page(s): 1033 - 1046
    Cited by:  Papers (12)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2040 KB) |  | HTML iconHTML  

    This paper addresses the problem of efficient representation of scenes captured by distributed omnidirectional vision sensors. We propose a novel geometric model to describe the correlation between different views of a 3-D scene. We first approximate the camera images by sparse expansions over a dictionary of geometric atoms. Since the most important visual features are likely to be equivalently d... View full abstract»

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  • Nonlocal Discrete Regularization on Weighted Graphs: A Framework for Image and Manifold Processing

    Publication Year: 2008 , Page(s): 1047 - 1060
    Cited by:  Papers (78)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3713 KB) |  | HTML iconHTML  

    We introduce a nonlocal discrete regularization framework on weighted graphs of the arbitrary topologies for image and manifold processing. The approach considers the problem as a variational one, which consists of minimizing a weighted sum of two energy terms: a regularization one that uses a discrete weighted -Dirichlet energy and an approximation one. This is the discrete analogue of recent con... View full abstract»

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  • Phase-Shifting for Nonseparable 2-D Haar Wavelets

    Publication Year: 2008 , Page(s): 1061 - 1068
    Cited by:  Papers (2)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (788 KB) |  | HTML iconHTML  

    In this paper, we present a novel and efficient solution to phase-shifting 2-D nonseparable Haar wavelet coefficients. While other methods either modify existing wavelets or introduce new ones to handle the lack of shift-invariance, we derive the explicit relationships between the coefficients of the shifted signal and those of the unshifted one. We then establish their computational complexity, a... View full abstract»

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  • Coherent Multiscale Image Processing Using Dual-Tree Quaternion Wavelets

    Publication Year: 2008 , Page(s): 1069 - 1082
    Cited by:  Papers (18)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1864 KB) |  | HTML iconHTML  

    The dual-tree quaternion wavelet transform (QWT) is a new multiscale analysis tool for geometric image features. The QWT is a near shift-invariant tight frame representation whose coefficients sport a magnitude and three phases: two phases encode local image shifts while the third contains image texture information. The QWT is based on an alternative theory for the 2D Hilbert transform and can be ... View full abstract»

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  • Efficient Nonlocal Means for Denoising of Textural Patterns

    Publication Year: 2008 , Page(s): 1083 - 1092
    Cited by:  Papers (75)  |  Patents (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (5246 KB) |  | HTML iconHTML  

    This paper contributes two novel techniques in the context of image restoration by nonlocal filtering. First, we introduce an efficient implementation of the nonlocal means filter based on arranging the data in a cluster tree. The structuring of data allows for a fast and accurate preselection of similar patches. In contrast to previous approaches, the preselection is based on the same distance me... View full abstract»

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  • Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal

    Publication Year: 2008 , Page(s): 1093 - 1108
    Cited by:  Papers (81)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (5819 KB) |  | HTML iconHTML  

    In order to denoise Poisson count data, we introduce a variance stabilizing transform (VST) applied on a filtered discrete Poisson process, yielding a near Gaussian process with asymptotic constant variance. This new transform, which can be deemed as an extension of the Anscombe transform to filtered data, is simple, fast, and efficient in (very) low-count situations. We combine this VST with the ... View full abstract»

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  • Universal Impulse Noise Filter Based on Genetic Programming

    Publication Year: 2008 , Page(s): 1109 - 1120
    Cited by:  Papers (37)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (4904 KB) |  | HTML iconHTML  

    In this paper, we present a novel method for impulse noise filter construction, based on the switching scheme with two cascaded detectors and two corresponding estimators. Genetic programming as a supervised learning algorithm is employed for building two detectors with complementary characteristics. The first detector identifies the majority of noisy pixels. The second detector searches for the r... View full abstract»

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  • Markov Random Field Model-Based Edge-Directed Image Interpolation

    Publication Year: 2008 , Page(s): 1121 - 1128
    Cited by:  Papers (32)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3539 KB) |  | HTML iconHTML  

    This paper presents an edge-directed image interpolation algorithm. In the proposed algorithm, the edge directions are implicitly estimated with a statistical-based approach. In opposite to explicit edge directions, the local edge directions are indicated by length-16 weighting vectors. Implicitly, the weighting vectors are used to formulate geometric regularity (GR) constraint (smoothness along e... View full abstract»

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  • Minimum Variance Optimal Rate Allocation for Multiplexed H.264/AVC Bitstreams

    Publication Year: 2008 , Page(s): 1129 - 1143
    Cited by:  Papers (14)  |  Patents (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1402 KB) |  | HTML iconHTML  

    Consider the problem of transmitting multiple video streams to fulfill a constant bandwidth constraint. The available bit budget needs to be distributed across the sequences in order to meet some optimality criteria. For example, one might want to minimize the average distortion or, alternatively, minimize the distortion variance, in order to keep almost constant quality among the encoded sequence... View full abstract»

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  • Model-Based 2.5-D Deconvolution for Extended Depth of Field in Brightfield Microscopy

    Publication Year: 2008 , Page(s): 1144 - 1153
    Cited by:  Papers (14)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2754 KB) |  | HTML iconHTML  

    Due to the limited depth of field of brightfield microscopes, it is usually impossible to image thick specimens entirely in focus. By optically sectioning the specimen, the in-focus information at the specimen's surface can be acquired over a range of images. Commonly based on a high-pass criterion, extended-depth-of-field methods aim at combining the in-focus information from these images into a ... View full abstract»

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  • Visual Tracking in High-Dimensional State Space by Appearance-Guided Particle Filtering

    Publication Year: 2008 , Page(s): 1154 - 1167
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2119 KB) |  | HTML iconHTML  

    In this paper, we propose a new approach, appearance-guided particle filtering (AGPF), for high degree-of-freedom visual tracking from an image sequence. This method adopts some known attractors in the state space and integrates both appearance and motion-transition information for visual tracking. A probability propagation model based on these two types of information is derived from a Bayesian f... View full abstract»

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  • A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications

    Publication Year: 2008 , Page(s): 1168 - 1177
    Cited by:  Papers (135)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (809 KB) |  | HTML iconHTML  

    Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and background components, detecting moving objects provides a focus of attention for recognition, classification, and activity analysis, making these later steps more efficient... View full abstract»

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  • Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression

    Publication Year: 2008 , Page(s): 1178 - 1188
    Cited by:  Papers (75)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1225 KB) |  | HTML iconHTML  

    Estimating human age automatically via facial image analysis has lots of potential real-world applications, such as human computer interaction and multimedia communication. However, it is still a challenging problem for the existing computer vision systems to automatically and effectively estimate human ages. The aging process is determined by not only the person's gene, but also many external fac... View full abstract»

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  • Robust Face Tracking via Collaboration of Generic and Specific Models

    Publication Year: 2008 , Page(s): 1189 - 1199
    Cited by:  Papers (7)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2313 KB) |  | HTML iconHTML  

    Significant appearance changes of objects under different orientations could cause loss of tracking, ldquodrifting.rdquo In this paper, we present a collaborative tracking framework to robustly track faces under large pose and expression changes and to learn their appearance models online. The collaborative tracking framework probabilistically combines measurements from an offline-trained generic ... View full abstract»

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  • Active Learning Methods for Interactive Image Retrieval

    Publication Year: 2008 , Page(s): 1200 - 1211
    Cited by:  Papers (30)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (970 KB) |  | HTML iconHTML  

    Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extension are now being proposed to handle multimedia applications. This paper provides algorithms within a statistical framework to extend active learning for online content-based image retrieval (CBIR). The classification fram... View full abstract»

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  • Rotation-Invariant Texture Retrieval via Signature Alignment Based on Steerable Sub-Gaussian Modeling

    Publication Year: 2008 , Page(s): 1212 - 1225
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1273 KB) |  | HTML iconHTML  

    This paper addresses the construction of a novel efficient rotation-invariant texture retrieval method that is based on the alignment in angle of signatures obtained via a steerable sub-Gaussian model. In our proposed scheme, we first construct a steerable multivariate sub-Gaussian model, where the fractional lower-order moments of a given image are associated with those of its rotated versions. T... View full abstract»

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  • IEEE Transactions on Image Processing EDICS

    Publication Year: 2008 , Page(s): 1226
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  • IEEE Transactions on Image Processing Information for authors

    Publication Year: 2008 , Page(s): 1227 - 1228
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  • IEEE International Conference on Acoustics, Speech, and Signal Processing

    Publication Year: 2008 , Page(s): 1229
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  • IEEE copyright form

    Publication Year: 2008 , Page(s): 1230 - 1231
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  • Order form for reprints

    Publication Year: 2008 , Page(s): 1232
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  • IEEE Signal Processing Society Information

    Publication Year: 2008 , 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