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IEEE Transactions on Image Processing

Issue 5 • Date May 2013

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Displaying Results 1 - 25 of 46
  • Front Cover

    Publication Year: 2013, Page(s): C1
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  • IEEE Transactions on Image Processing publication information

    Publication Year: 2013, Page(s): C2
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  • Table of contents

    Publication Year: 2013, Page(s):1681 - 1683
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  • [Blank page]

    Publication Year: 2013, Page(s): 1684
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  • Table of contents

    Publication Year: 2013, Page(s):1685 - 1687
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    Publication Year: 2013, Page(s): 1688
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  • Bayesian Saliency via Low and Mid Level Cues

    Publication Year: 2013, Page(s):1689 - 1698
    Cited by:  Papers (79)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3071 KB) | HTML iconHTML

    Visual saliency detection is a challenging problem in computer vision, but one of great importance and numerous applications. In this paper, we propose a novel model for bottom-up saliency within the Bayesian framework by exploiting low and mid level cues. In contrast to most existing methods that operate directly on low level cues, we propose an algorithm in which a coarse saliency region is firs... View full abstract»

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  • Exemplar-Based Image Inpainting Using Multiscale Graph Cuts

    Publication Year: 2013, Page(s):1699 - 1711
    Cited by:  Papers (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1394 KB) | HTML iconHTML

    We present a novel formulation of exemplar-based inpainting as a global energy optimization problem, written in terms of the offset map. The proposed energy function combines a data attachment term that ensures the continuity of reconstruction at the boundary of the inpainting domain with a smoothness term that ensures a visually coherent reconstruction inside the hole. This formulation is adapted... View full abstract»

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  • Activity Recognition Using a Mixture of Vector Fields

    Publication Year: 2013, Page(s):1712 - 1725
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (9053 KB) | HTML iconHTML

    The analysis of moving objects in image sequences (video) has been one of the major themes in computer vision. In this paper, we focus on video-surveillance tasks; more specifically, we consider pedestrian trajectories and propose modeling them through a small set of motion/vector fields together with a space-varying switching mechanism. Despite the diversity of motion patterns that can occur in a... View full abstract»

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  • Low-Resolution Face Tracker Robust to Illumination Variations

    Publication Year: 2013, Page(s):1726 - 1739
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3473 KB) | HTML iconHTML

    In many practical video surveillance applications, the faces acquired by outdoor cameras are of low resolution and are affected by uncontrolled illumination. Although significant efforts have been made to facilitate face tracking or illumination normalization in unconstrained videos, the approaches developed may not be effective in video surveillance applications. This is because: 1) a low-resolut... View full abstract»

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  • Local Directional Number Pattern for Face Analysis: Face and Expression Recognition

    Publication Year: 2013, Page(s):1740 - 1752
    Cited by:  Papers (50)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2541 KB) | HTML iconHTML

    This paper proposes a novel local feature descriptor, local directional number pattern (LDN), for face analysis, i.e., face and expression recognition. LDN encodes the directional information of the face's textures (i.e., the texture's structure) in a compact way, producing a more discriminative code than current methods. We compute the structure of each micro-pattern with the aid of a compass mas... View full abstract»

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  • Regularized Robust Coding for Face Recognition

    Publication Year: 2013, Page(s):1753 - 1766
    Cited by:  Papers (55)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (879 KB) | HTML iconHTML

    Recently the sparse representation based classification (SRC) has been proposed for robust face recognition (FR). In SRC, the testing image is coded as a sparse linear combination of the training samples, and the representation fidelity is measured by the l2-norm or l1 -norm of the coding residual. Such a sparse coding model assumes that the coding residual foll... View full abstract»

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  • Exploration of Optimal Many-Core Models for Efficient Image Segmentation

    Publication Year: 2013, Page(s):1767 - 1777
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1254 KB) | HTML iconHTML

    Image segmentation plays a crucial role in numerous biomedical imaging applications, assisting clinicians or health care professionals with diagnosis of various diseases using scientific data. However, its high computational complexities require substantial amount of time and have limited their applicability. Research has thus focused on parallel processing models that support biomedical image seg... View full abstract»

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  • Active Contour-Based Visual Tracking by Integrating Colors, Shapes, and Motions

    Publication Year: 2013, Page(s):1778 - 1792
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1112 KB) | HTML iconHTML

    In this paper, we present a framework for active contour-based visual tracking using level sets. The main components of our framework include contour-based tracking initialization, color-based contour evolution, adaptive shape-based contour evolution for non-periodic motions, dynamic shape-based contour evolution for periodic motions, and the handling of abrupt motions. For the initialization of c... View full abstract»

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  • Image Quality Assessment Using Multi-Method Fusion

    Publication Year: 2013, Page(s):1793 - 1807
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (742 KB) | HTML iconHTML

    A new methodology for objective image quality assessment (IQA) with multi-method fusion (MMF) is presented in this paper. The research is motivated by the observation that there is no single method that can give the best performance in all situations. To achieve MMF, we adopt a regression approach. The new MMF score is set to be the nonlinear combination of scores from multiple methods with suitab... View full abstract»

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  • Robust Radial Face Detection for Omnidirectional Vision

    Publication Year: 2013, Page(s):1808 - 1821
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1617 KB) | HTML iconHTML

    Bio-inspired and non-conventional vision systems are highly researched topics. Among them, omnidirectional vision systems have demonstrated their ability to significantly improve the geometrical interpretation of scenes. However, few researchers have investigated how to perform object detection with such systems. The existing approaches require a geometrical transformation prior to the interpretat... View full abstract»

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  • Optimized 3D Watermarking for Minimal Surface Distortion

    Publication Year: 2013, Page(s):1822 - 1835
    Cited by:  Papers (11)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1585 KB) | HTML iconHTML

    This paper proposes a new approach to 3D watermarking by ensuring the optimal preservation of mesh surfaces. A new 3D surface preservation function metric is defined consisting of the distance of a vertex displaced by watermarking to the original surface, to the watermarked object surface as well as the actual vertex displacement. The proposed method is statistical, blind, and robust. Minimal surf... View full abstract»

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  • Approximate Least Trimmed Sum of Squares Fitting and Applications in Image Analysis

    Publication Year: 2013, Page(s):1836 - 1847
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (697 KB) | HTML iconHTML

    The least trimmed sum of squares (LTS) regression estimation criterion is a robust statistical method for model fitting in the presence of outliers. Compared with the classical least squares estimator, which uses the entire data set for regression and is consequently sensitive to outliers, LTS identifies the outliers and fits to the remaining data points for improved accuracy. Exactly solving an L... View full abstract»

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  • Design of Low-Complexity High-Performance Wavelet Filters for Image Analysis

    Publication Year: 2013, Page(s):1848 - 1858
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3998 KB) | HTML iconHTML

    This paper addresses the construction of a family of wavelets based on halfband polynomials. An algorithm is proposed that ensures maximum zeros at for a desired length of analysis and synthesis filters. We start with the coefficients of the polynomial and then use a generalized matrix formulation method to construct the filter halfband polynomial. The designed wavelets are efficient and give acce... View full abstract»

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  • Noise Reduction Based on Partial-Reference, Dual-Tree Complex Wavelet Transform Shrinkage

    Publication Year: 2013, Page(s):1859 - 1872
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2237 KB) | HTML iconHTML

    This paper presents a novel way to reduce noise introduced or exacerbated by image enhancement methods, in particular algorithms based on the random spray sampling technique, but not only. According to the nature of sprays, output images of spray-based methods tend to exhibit noise with unknown statistical distribution. To avoid inappropriate assumptions on the statistical characteristics of noise... View full abstract»

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  • Hessian Schatten-Norm Regularization for Linear Inverse Problems

    Publication Year: 2013, Page(s):1873 - 1888
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2172 KB) | HTML iconHTML

    We introduce a novel family of invariant, convex, and non-quadratic functionals that we employ to derive regularized solutions of ill-posed linear inverse imaging problems. The proposed regularizers involve the Schatten norms of the Hessian matrix, which are computed at every pixel of the image. They can be viewed as second-order extensions of the popular total-variation (TV) semi-norm since they ... View full abstract»

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  • Structured Sparse Error Coding for Face Recognition With Occlusion

    Publication Year: 2013, Page(s):1889 - 1900
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1110 KB) | HTML iconHTML

    Face recognition with occlusion is common in the real world. Inspired by the works of structured sparse representation, we try to explore the structure of the error incurred by occlusion from two aspects: the error morphology and the error distribution. Since human beings recognize the occlusion mainly according to its region shape or profile without knowing accurately what the occlusion is, we ar... View full abstract»

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  • Accurate Multiple View 3D Reconstruction Using Patch-Based Stereo for Large-Scale Scenes

    Publication Year: 2013, Page(s):1901 - 1914
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2083 KB) | HTML iconHTML

    In this paper, we propose a depth-map merging based multiple view stereo method for large-scale scenes which takes both accuracy and efficiency into account. In the proposed method, an efficient patch-based stereo matching process is used to generate depth-map at each image with acceptable errors, followed by a depth-map refinement process to enforce consistency over neighboring views. Compared to... View full abstract»

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  • Mixed-Domain Edge-Aware Image Manipulation

    Publication Year: 2013, Page(s):1915 - 1925
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2918 KB) | HTML iconHTML

    This paper presents a novel approach to edge-aware image manipulation. Our method processes a Gaussian pyramid from coarse to fine, and at each level, applies a nonlinear filter bank to the neighborhood of each pixel. Outputs of these spatially-varying filters are merged using global optimization. The optimization problem is solved using an explicit mixed-domain (real space and DCT transform space... View full abstract»

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  • Monocular Depth Ordering Using T-Junctions and Convexity Occlusion Cues

    Publication Year: 2013, Page(s):1926 - 1939
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2706 KB) | HTML iconHTML

    This paper proposes a system that relates objects in an image using occlusion cues and arranges them according to depth. The system does not rely on a priori knowledge of the scene structure and focuses on detecting special points, such as T-junctions and highly convex contours, to infer the depth relationships between objects in the scene. The system makes extensive use of the binary partition tr... 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