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IEEE Transactions on Image Processing

Issue 2 • Date Feb. 2008

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Displaying Results 1 - 22 of 22
  • 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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  • Space-Variant Restoration of Images Degraded by Camera Motion Blur

    Publication Year: 2008, Page(s):105 - 116
    Cited by:  Papers (51)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7774 KB) | HTML iconHTML

    We examine the problem of restoration from multiple images degraded by camera motion blur. We consider scenes with significant depth variations resulting in space-variant blur. The proposed algorithm can be applied if the camera moves along an arbitrary curve parallel to the image plane, without any rotations. The knowledge of camera trajectory and camera parameters is not necessary. At the input,... View full abstract»

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  • LCD Motion Blur Reduction: A Signal Processing Approach

    Publication Year: 2008, Page(s):117 - 125
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2575 KB) | HTML iconHTML

    Liquid crystal displays (LCDs) have shown great promise in the consumer market for their use as both computer and television displays. Despite their many advantages, the inherent sample-and-hold nature of LCD image formation results in a phenomenon known as motion blur. In this work, we develop a method for motion blur reduction using the Richardson-Lucy deconvolution algorithm in concert with mot... View full abstract»

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  • Piecewise Linear Digital Curve Representation and Compression Using Graph Theory and a Line Segment Alphabet

    Publication Year: 2008, Page(s):126 - 133
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (529 KB) | HTML iconHTML

    The use of an alphabet of line segments to compose a curve is a possible approach for curve data compression. Many approaches are developed with the drawback that they can process simple curves only. Curves having more sophisticated topology with self-intersections can be handled by methods considering recursive decomposition of the canvas containing the curve. In this paper, we propose a graph th... View full abstract»

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  • A Lossless Compression Scheme for Bayer Color Filter Array Images

    Publication Year: 2008, Page(s):134 - 144
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1327 KB) | HTML iconHTML

    In most digital cameras, Bayer color filter array (CFA) images are captured and demosaicing is generally carried out before compression. Recently, it was found that compression-first schemes outperform the conventional demosaicing-first schemes in terms of output image quality. An efficient prediction-based lossless compression scheme for Bayer CFA images is proposed in this paper. It exploits a c... View full abstract»

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  • Packet Video Error Concealment With Gaussian Mixture Models

    Publication Year: 2008, Page(s):145 - 154
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2457 KB) | HTML iconHTML

    In this paper, Gaussian mixture modeling is applied to error concealment for block-based packet video. A Gaussian mixture model for video data is obtained offline and is thereafter utilized online in order to restore lost blocks from spatial and temporal surrounding information. We propose estimators on closed form for missing data in the case of varying available neighboring contexts. Our error c... View full abstract»

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  • Optimal Sensor Array Configuration in Remote Image Formation

    Publication Year: 2008, Page(s):155 - 166
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (839 KB) | HTML iconHTML

    Determination of optimal sensor configuration is an important issue in many remote imaging modalities, such as tomographic and interferometric imaging. In this paper, a statistical optimality criterion is defined and a search is performed over the space of candidate sensor locations to determine the configuration that optimizes the criterion over all candidates. To make the search process computat... View full abstract»

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  • Vision Processing for Realtime 3-D Data Acquisition Based on Coded Structured Light

    Publication Year: 2008, Page(s):167 - 176
    Cited by:  Papers (96)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1036 KB) | HTML iconHTML

    Structured light vision systems have been successfully used for accurate measurement of 3D surfaces in computer vision. However, their applications are mainly limited to scanning stationary objects so far since tens of images have to be captured for recovering one 3D scene. This paper presents an idea for real-time acquisition of 3D surface data by a specially coded vision system. To achieve 3D me... View full abstract»

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  • New Perspectives and Improvements on the Symmetric Extension Filter Bank for Subband/Wavelet Image Compression

    Publication Year: 2008, Page(s):177 - 189
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (544 KB) | HTML iconHTML

    In subband/wavelet image coding, size-limited subband decompositions are ordinarily used to avoid increasing the number of samples that need to be coded. To reduce coding distortions that can occur at the borders, the symmetric extension filter bank is typically employed. This paper introduces some new perspectives and improvements to that decomposition. The symmetric extension filter bank is couc... View full abstract»

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  • Equivariant Holomorphic Filters for Contour Denoising and Rapid Object Detection

    Publication Year: 2008, Page(s):190 - 203
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1943 KB) | HTML iconHTML

    It is well known that linear filters are not powerful enough for many low-level image processing tasks. However, it is also very difficult to design robust nonlinear filters that respond exclusively to features of interest and that are, at the same time, equivariant with respect to translation and rotation. This paper proposes a new class of rotation-equivariant nonlinear filters that is based on ... View full abstract»

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  • A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation

    Publication Year: 2008, Page(s):204 - 216
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1531 KB) | HTML iconHTML

    This paper presents a connected coherence tree algorithm (CCTA) for image segmentation with no prior knowledge. It aims to find regions of semantic coherence based on the proposed epsiv-neighbor coherence segmentation criterion. More specifically, with an adaptive spatial scale and an appropriate intensity-difference scale, CCTA often achieves several sets of coherent neighboring pixels which maxi... View full abstract»

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  • Bayesian Approach With Hidden Markov Modeling and Mean Field Approximation for Hyperspectral Data Analysis

    Publication Year: 2008, Page(s):217 - 225
    Cited by:  Papers (23)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1167 KB) | HTML iconHTML

    The main problems in hyperspectral image analysis are spectral classification, segmentation, and data reduction. In this paper, we propose a Bayesian estimation approach which gives a joint solution for these problems. The problem is modeled as a blind sources separation (BSS). The data are M hyperspectral images and the sources are K<M images which are composed of compact homogeneous regions a... View full abstract»

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  • Image Classification Using Correlation Tensor Analysis

    Publication Year: 2008, Page(s):226 - 234
    Cited by:  Papers (42)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (949 KB) | HTML iconHTML

    Images, as high-dimensional data, usually embody large variabilities. To classify images for versatile applications, an effective algorithm is necessarily designed by systematically considering the data structure, similarity metric, discriminant subspace, and classifier. In this paper, we provide evidence that, besides the Fisher criterion, graph embedding, and tensorization used in many existing ... View full abstract»

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  • Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking

    Publication Year: 2008, Page(s):235 - 240
    Cited by:  Papers (79)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (514 KB) | HTML iconHTML

    We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability. The target model is updated according to the similarity between the initial and current models, and this makes the tracker more robust. The proposed algorithm has been compared with other trackers using challenging imag... View full abstract»

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  • IEEE Transactions on Image Processing EDICS

    Publication Year: 2008, Page(s): 241
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  • IEEE Transactions on Image Processing Information for authors

    Publication Year: 2008, Page(s):242 - 243
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  • Order form for reprints

    Publication Year: 2008, Page(s): 244
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  • IEEE copyright form

    Publication Year: 2008, Page(s):245 - 246
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  • Have you visited lately? www.ieee.org [advertisement]

    Publication Year: 2008, Page(s): 247
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  • Leading the field since 1884 [advertisement]

    Publication Year: 2008, Page(s): 248
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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.

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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