IEEE Transactions on Image Processing

Issue 11 • Nov. 2012

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Displaying Results 1 - 23 of 23
  • Table of contents

    Publication Year: 2012, Page(s):C1 - 4505
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  • IEEE Transactions on Image Processing publication information

    Publication Year: 2012, Page(s): C2
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  • Editorial: Message From the Vice President of Publications on New Developments in Signal Processing Society Publications

    Publication Year: 2012, Page(s):4506 - 4507
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  • SNMFCA: Supervised NMF-Based Image Classification and Annotation

    Publication Year: 2012, Page(s):4508 - 4521
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1064 KB) | HTML iconHTML

    In this paper, we propose a novel supervised nonnegative matrix factorization-based framework for both image classification and annotation. The framework consists of two phases: training and prediction. In the training phase, two supervised nonnegative matrix factorizations for image descriptors and annotation terms are combined to identify the latent image bases, and to represent the training ima... View full abstract»

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  • 3D Steerable Wavelets in Practice

    Publication Year: 2012, Page(s):4522 - 4533
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1291 KB) | HTML iconHTML

    We introduce a systematic and practical design for steerable wavelet frames in 3D. Our steerable wavelets are obtained by applying a 3D version of the generalized Riesz transform to a primary isotropic wavelet frame. The novel transform is self-reversible (tight frame) and its elementary constituents (Riesz wavelets) can be efficiently rotated in any 3D direction by forming appropriate linear comb... View full abstract»

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  • Multiplicative Noise Removal via a Learned Dictionary

    Publication Year: 2012, Page(s):4534 - 4543
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1270 KB) | HTML iconHTML

    Multiplicative noise removal is a challenging image processing problem, and most existing methods are based on the maximum a posteriori formulation and the logarithmic transformation of multiplicative denoising problems into additive denoising problems. Sparse representations of images have shown to be efficient approaches for image recovery. Following this idea, in this paper, we propose to learn... View full abstract»

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  • Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression

    Publication Year: 2012, Page(s):4544 - 4556
    Cited by:  Papers (118)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2634 KB) | HTML iconHTML

    Image super-resolution (SR) reconstruction is essentially an ill-posed problem, so it is important to design an effective prior. For this purpose, we propose a novel image SR method by learning both non-local and local regularization priors from a given low-resolution image. The non-local prior takes advantage of the redundancy of similar patches in natural images, while the local prior assumes th... View full abstract»

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  • Alternating Direction Method for Balanced Image Restoration

    Publication Year: 2012, Page(s):4557 - 4567
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (600 KB) | HTML iconHTML

    This paper presents an efficient algorithm for solving a balanced regularization problem in the frame-based image restoration. The balanced regularization is usually formulated as a minimization problem, involving an l2 data-fidelity term, an l1 regularizer on sparsity of frame coefficients, and a penalty on distance of sparse frame coefficients to the range of ... View full abstract»

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  • Overlapping Cell Nuclei Segmentation Using a Spatially Adaptive Active Physical Model

    Publication Year: 2012, Page(s):4568 - 4580
    Cited by:  Papers (35)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1331 KB) | HTML iconHTML

    A method for the segmentation of overlapping nuclei is presented, which combines local characteristics of the nuclei boundary and a priori knowledge about the expected shape of the nuclei. A deformable model whose behavior is driven by physical principles is trained on images containing a single nuclei, and attributes of the shapes of the nuclei are expressed in terms of modal analysis. Based on t... View full abstract»

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  • Distributed Successive Refinement of Multiview Images Using Broadcast Advantage

    Publication Year: 2012, Page(s):4581 - 4592
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1395 KB) | HTML iconHTML

    In environmental monitoring applications, having multiple cameras focus on common scenery increases robustness of the system. To save energy based on user demand, successive refinement image coding is important, as it allows us to progressively request better image quality. By exploiting the broadcast nature and correlation between multiview images, we investigate a two-camera setup and propose a ... View full abstract»

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  • Image Feature Extraction in Encrypted Domain With Privacy-Preserving SIFT

    Publication Year: 2012, Page(s):4593 - 4607
    Cited by:  Papers (33)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (631 KB) | HTML iconHTML

    Privacy has received considerable attention but is still largely ignored in the multimedia community. Consider a cloud computing scenario where the server is resource-abundant, and is capable of finishing the designated tasks. It is envisioned that secure media applications with privacy preservation will be treated seriously. In view of the fact that scale-invariant feature transform (SIFT) has be... View full abstract»

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  • Automatic Parameter Estimation for the Discrete Algebraic Reconstruction Technique (DART)

    Publication Year: 2012, Page(s):4608 - 4621
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1483 KB) | HTML iconHTML

    Computed tomography (CT) is a technique for noninvasive imaging of physical objects. In the discrete algebraic reconstruction technique (DART), prior knowledge about the material's densities is exploited to obtain high quality reconstructed images from a limited number of its projections. In practice, this prior knowledge is typically not readily available. Here, a fully automatic method, called p... View full abstract»

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  • Adaptive Kalman Filtering for Histogram-Based Appearance Learning in Infrared Imagery

    Publication Year: 2012, Page(s):4622 - 4635
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2303 KB) | HTML iconHTML

    Targets of interest in video acquired from imaging infrared sensors often exhibit profound appearance variations due to a variety of factors, including complex target maneuvers, ego-motion of the sensor platform, background clutter, etc., making it difficult to maintain a reliable detection process and track lock over extended time periods. Two key issues in overcoming this problem are how to repr... View full abstract»

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  • Semisupervised Multiview Distance Metric Learning for Cartoon Synthesis

    Publication Year: 2012, Page(s):4636 - 4648
    Cited by:  Papers (131)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1252 KB) | HTML iconHTML

    In image processing, cartoon character classification, retrieval, and synthesis are critical, so that cartoonists can effectively and efficiently make cartoons by reusing existing cartoon data. To successfully achieve these tasks, it is essential to extract visual features that comprehensively represent cartoon characters and to construct an accurate distance metric to precisely measure the dissim... View full abstract»

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  • Multimodal Graph-Based Reranking for Web Image Search

    Publication Year: 2012, Page(s):4649 - 4661
    Cited by:  Papers (131)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1358 KB) | HTML iconHTML

    This paper introduces a web image search reranking approach that explores multiple modalities in a graph-based learning scheme. Different from the conventional methods that usually adopt a single modality or integrate multiple modalities into a long feature vector, our approach can effectively integrate the learning of relevance scores, weights of modalities, and the distance metric and its scalin... View full abstract»

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  • Turbid Scene Enhancement Using Multi-Directional Illumination Fusion

    Publication Year: 2012, Page(s):4662 - 4667
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1168 KB) | HTML iconHTML

    Ambient light is strongly attenuated in turbid media. Moreover, natural light is often more highly attenuated in some spectral bands, relative to others. Hence, imaging in turbid media often relies heavily on artificial sources for illumination. Scenes irradiated by an off-axis single point source have enhanced local object shadow edges, which may increase object visibility. However, the images ma... View full abstract»

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  • Multiscale Distance Matrix for Fast Plant Leaf Recognition

    Publication Year: 2012, Page(s):4667 - 4672
    Cited by:  Papers (31)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (559 KB) | HTML iconHTML

    In this brief, we propose a novel contour-based shape descriptor, called the multiscale distance matrix, to capture the shape geometry while being invariant to translation, rotation, scaling, and bilateral symmetry. The descriptor is further combined with a dimensionality reduction to improve its discriminative power. The proposed method avoids the time-consuming pointwise matching encountered in ... View full abstract»

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  • Detail-Enhanced Exposure Fusion

    Publication Year: 2012, Page(s):4672 - 4676
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (475 KB) | HTML iconHTML

    In a typical processing chain of image enhancement, an exposure fusion scheme can be used to synthesize a more detailed low dynamic range (LDR) image directly from a set of differently exposed LDR images, without generation of an intermediate high dynamic range image. In this brief, we introduce a new quadratic optimization-based method to extract fine details from a vector field. The new method e... View full abstract»

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  • IEEE Transactions on Image Processing EDICS

    Publication Year: 2012, Page(s): 4677
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  • IEEE Transactions on Image Processing information for authors

    Publication Year: 2012, Page(s):4678 - 4679
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  • Open Access [advertisement]

    Publication Year: 2012, Page(s): 4680
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  • IEEE Signal Processing Society Information

    Publication Year: 2012, Page(s): C3
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  • [Blank page - back cover]

    Publication Year: 2012, Page(s): C4
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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