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Image Processing, IEEE Transactions on

Issue 2 • Date Feb. 2005

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Displaying Results 1 - 16 of 16
  • Table of contents

    Publication Year: 2005 , Page(s): c1 - c4
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  • IEEE Transactions on Image Processing publication information

    Publication Year: 2005 , Page(s): c2
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  • A compressed domain scheme for classifying block edge patterns

    Publication Year: 2005 , Page(s): 145 - 151
    Cited by:  Papers (28)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1262 KB) |  | HTML iconHTML  

    Detecting and classifying edge components in images find a wide range of applications from perceptually improved coding schemes to content-based searches. A fast and systematic scheme is proposed to classify the edge orientation of each block in discrete cosine transform (DCT)-compressed images. Derived from a simple, but acceptable, pixel-domain algorithm, the proposed scheme performs directly on... View full abstract»

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  • Face localization and authentication using color and depth images

    Publication Year: 2005 , Page(s): 152 - 168
    Cited by:  Papers (39)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1929 KB) |  | HTML iconHTML  

    This work presents a complete face authentication system integrating both two-dimensional (color or intensity) and three-dimensional (3-D) range data, based on a low-cost 3-D sensor, capable of real-time acquisition of 3-D and color images. Novel algorithms are proposed that exploit depth information to achieve robust face detection and localization under conditions of background clutter, occlusio... View full abstract»

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  • Building kernels from binary strings for image matching

    Publication Year: 2005 , Page(s): 169 - 180
    Cited by:  Papers (32)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2431 KB) |  | HTML iconHTML  

    In the statistical learning framework, the use of appropriate kernels may be the key for substantial improvement in solving a given problem. In essence, a kernel is a similarity measure between input points satisfying some mathematical requirements and possibly capturing the domain knowledge. We focus on kernels for images: we represent the image information content with binary strings and discuss... View full abstract»

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  • Analysis and enhancements to piecewise linear comparametric image registration

    Publication Year: 2005 , Page(s): 181 - 188
    Cited by:  Papers (8)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3215 KB) |  | HTML iconHTML  

    This correspondence details enhancements to previous work on piecewise linear comparametric image registration. The enhancements come in the form of slope constraints and knots' location selection in the comparametric modeling. An analysis of the properties of comparametric functions leads to two general slope constraints that, along with a knot location selection based on the reference image's pi... View full abstract»

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  • Weighted unequal error protection for transmitting scalable object-oriented images over packet-erasure networks

    Publication Year: 2005 , Page(s): 189 - 199
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2164 KB) |  | HTML iconHTML  

    We investigate the problem of transmitting embedded encoded object-oriented images over the packet-erasure networks. After giving a review of the existing combined unequal error protection (CUEP) and individual unequal error protection (IUEP) schemes, a novel weighted unequal error protection (WUEP) packetization scheme is proposed, which serves as an alternative to the existing methods. In our pr... View full abstract»

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  • Deblocking of block-transform compressed images using weighted sums of symmetrically aligned pixels

    Publication Year: 2005 , Page(s): 200 - 212
    Cited by:  Papers (28)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3154 KB) |  | HTML iconHTML  

    A new class of related algorithms for deblocking block-transform compressed images and video sequences is proposed in this paper. The algorithms apply weighted sums on pixel quartets, which are symmetrically aligned with respect to block boundaries. The basic weights, which are aimed at very low bit-rate images, are obtained from a two-dimensional function which obeys predefined constraints. Using... View full abstract»

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  • Predictive fine granularity successive elimination for fast optimal block-matching motion estimation

    Publication Year: 2005 , Page(s): 213 - 221
    Cited by:  Papers (29)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (295 KB) |  | HTML iconHTML  

    Given the number of checking points, the speed of block motion estimation depends on how fast the block matching is. A new framework, fine granularity successive elimination (FGSE), is proposed for fast optimal block matching in motion estimation. The FGSE features providing a sequence of nondecreasing fine-grained boundary levels to reject a checking point using as little computation as possible,... View full abstract»

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  • Pixelwise-adaptive blind optical flow assuming nonstationary statistics

    Publication Year: 2005 , Page(s): 222 - 230
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1117 KB) |  | HTML iconHTML  

    We address some of the major issues in optical flow within a new framework assuming nonstationary statistics for the motion field and for the errors. Problems addressed include the preservation of discontinuities, model/data errors, outliers, confidence measures, and performance evaluation. In solving these problems, we assume that the statistics of the motion field and the errors are not only spa... View full abstract»

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  • Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities

    Publication Year: 2005 , Page(s): 231 - 240
    Cited by:  Papers (47)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1126 KB) |  | HTML iconHTML  

    A novel Bayesian nonparametric estimator in the wavelet domain is presented. In this approach, a prior model is imposed on the wavelet coefficients designed to capture the sparseness of the wavelet expansion. Seeking probability models for the marginal densities of the wavelet coefficients, the new family of Bessel K forms (BKF) densities are shown to fit very well to the observed histograms. Expl... View full abstract»

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  • Image registration for image-based rendering

    Publication Year: 2005 , Page(s): 241 - 252
    Cited by:  Papers (7)  |  Patents (17)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (5751 KB) |  | HTML iconHTML  

    Image-based rendering (IBR) has received much attention in recent years for its ability to synthesize photo-realistic novel views. To support translational motion, existing IBR methods either require a large amount of reference images or assume that some geometric information is available. However, rendering with a large amount of images is very expensive in terms of image acquisition, data storag... View full abstract»

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  • Lossless generalized-LSB data embedding

    Publication Year: 2005 , Page(s): 253 - 266
    Cited by:  Papers (172)  |  Patents (9)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (990 KB) |  | HTML iconHTML  

    We present a novel lossless (reversible) data-embedding technique, which enables the exact recovery of the original host signal upon extraction of the embedded information. A generalization of the well-known least significant bit (LSB) modification is proposed as the data-embedding method, which introduces additional operating points on the capacity-distortion curve. Lossless recovery of the origi... View full abstract»

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  • Demosaicing using optimal recovery

    Publication Year: 2005 , Page(s): 267 - 278
    Cited by:  Papers (53)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1733 KB) |  | HTML iconHTML  

    Color images in single-chip digital cameras are obtained by interpolating mosaiced color samples. These samples are encoded in a single-chip charge-coupled device by sampling the light after it passes through a color filter array (CFA) that contains different color filters (i.e., red, green, and blue) placed in some pattern. The resulting sparsely sampled images of the three-color planes are inter... View full abstract»

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  • IEEE Transactions on Image Processing Information for authors

    Publication Year: 2005 , Page(s): 279 - 280
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    Freely Available from IEEE
  • IEEE Signal Processing Society Information

    Publication Year: 2005 , 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