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IEEE Transactions on Image Processing

Issue 6 • Date June 2008

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Displaying Results 1 - 25 of 25
  • 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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  • Phase Local Approximation (PhaseLa) Technique for Phase Unwrap From Noisy Data

    Publication Year: 2008, Page(s):833 - 846
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2256 KB) | HTML iconHTML

    The local polynomial approximation (LPA) is a nonparametric regression technique with pointwise estimation in a sliding window. We apply the LPA of the argument of cos and sin in order to estimate the absolute phase from noisy wrapped phase data. Using the intersection of confidence interval (ICI) algorithm, the window size is selected as adaptive pointwise varying. This adaptation gives the phase... View full abstract»

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  • Dynamic Denoising of Tracking Sequences

    Publication Year: 2008, Page(s):847 - 856
    Cited by:  Papers (6)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2395 KB) | HTML iconHTML

    In this paper, we describe an approach to the problem of simultaneously enhancing image sequences and tracking the objects of interest represented by the latter. The enhancement part of the algorithm is based on Bayesian wavelet denoising, which has been chosen due to its exceptional ability to incorporate diverse a priori information into the process of image recovery. In particular, we demonstra... View full abstract»

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  • Design of Linear Equalizers Optimized for the Structural Similarity Index

    Publication Year: 2008, Page(s):857 - 872
    Cited by:  Papers (32)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (18044 KB) | HTML iconHTML

    We propose an algorithm for designing linear equalizers that maximize the structural similarity (SSIM) index between the reference and restored signals. The SSIM index has enjoyed considerable application in the evaluation of image processing algorithms. Algorithms, however, have not been designed yet to explicitly optimize for this measure. The design of such an algorithm is nontrivial due to the... View full abstract»

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  • Generalized Face Super-Resolution

    Publication Year: 2008, Page(s):873 - 886
    Cited by:  Papers (33)  |  Patents (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4124 KB) | HTML iconHTML

    Existing learning-based face super-resolution (hallucination) techniques generate high-resolution images of a single facial modality (i.e., at a fixed expression, pose and illumination) given one or set of low-resolution face images as probe. Here, we present a generalized approach based on a hierarchical tensor (multilinear) space representation for hallucinating high-resolution face images acros... View full abstract»

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  • Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation

    Publication Year: 2008, Page(s):887 - 896
    Cited by:  Papers (175)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8595 KB) | HTML iconHTML

    The challenge of image interpolation is to preserve spatial details. We propose a soft-decision interpolation technique that estimates missing pixels in groups rather than one at a time. The new technique learns and adapts to varying scene structures using a 2-D piecewise autoregressive model. The model parameters are estimated in a moving window in the input low-resolution image. The pixel struct... View full abstract»

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  • Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation

    Publication Year: 2008, Page(s):897 - 907
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1433 KB) | HTML iconHTML

    In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constraint is imposed for smoothness of the estimated density function. The derivation of the MEEM algorithm requires determination of the covariance matrix in the framework of the maximum-entropy likelihood function, which is difficult to... View full abstract»

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  • A Fully Scalable Motion Model for Scalable Video Coding

    Publication Year: 2008, Page(s):908 - 923
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1202 KB) | HTML iconHTML

    Motion information scalability is an important requirement for a fully scalable video codec, especially for decoding scenarios of low bit rate or small image size. So far, several scalable coding techniques on motion information have been proposed, including progressive motion vector precision coding and motion vector field layered coding. However, it is still vague on the required functionalities... View full abstract»

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  • Prediction by Partial Approximate Matching for Lossless Image Compression

    Publication Year: 2008, Page(s):924 - 935
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (629 KB) | HTML iconHTML

    Context-based modeling is an important step in high-performance lossless data compression. To effectively define and utilize contexts for natural images is, however, a difficult problem. This is primarily due to the huge number of contexts available in natural images, which typically results in higher modeling costs, leading to reduced compression efficiency. Motivated by the prediction by partial... View full abstract»

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  • Adaptive Local Linear Regression With Application to Printer Color Management

    Publication Year: 2008, Page(s):936 - 945
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB) | HTML iconHTML

    Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of neighbors used in estimation is fixed to be a global ldquooptimalrdquo value, chosen by cross validation. This paper proposes adapting the number of neighbors used for estimation to the local geometry of the data, without need for cr... View full abstract»

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  • Wavelet-Based Joint Estimation and Encoding of Depth-Image-Based Representations for Free-Viewpoint Rendering

    Publication Year: 2008, Page(s):946 - 957
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5788 KB) | HTML iconHTML

    We propose a wavelet-based codec for the static depth-image-based representation, which allows viewers to freely choose the viewpoint. The proposed codec jointly estimates and encodes the unknown depth map from multiple views using a novel rate-distortion (RD) optimization scheme. The rate constraint reduces the ambiguity of depth estimation by favoring piece- wise-smooth depth maps. The optimizat... View full abstract»

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  • Robust Global Motion Estimation Oriented to Video Object Segmentation

    Publication Year: 2008, Page(s):958 - 967
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2020 KB) | HTML iconHTML

    Most global motion estimation (GME) methods are oriented to video coding while video object segmentation methods either assume no global motion (GM) or directly adopt a coding-oriented method to compensate for GM. This paper proposes a hierarchical differential GME method oriented to video object segmentation. A scheme which combines three-step search and motion parameters prediction is proposed f... View full abstract»

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  • An Efficient and Accurate Method for the Relaxation of Multiview Registration Error

    Publication Year: 2008, Page(s):968 - 981
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1082 KB) | HTML iconHTML

    This paper presents a new method for the relaxation of multiview registration error. The multiview registration problem is represented using a graph. Each node and each edge in the graph represents a 3-D data set and a pairwise registration, respectively. Assuming that all the pairwise registration processes have converged to fine results, this paper shows that the multiview registration problem c... View full abstract»

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  • Estimation of Multiple, Time-Varying Motions Using Time-Frequency Representations and Moving-Objects Segmentation

    Publication Year: 2008, Page(s):982 - 990
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2571 KB) | HTML iconHTML

    We extend existing spatiotemporal approaches to handle time-varying motions estimation of multiple objects. It is shown that multiple, time-varying motions estimation is equivalent to the instantaneous frequency estimation of superpoliteness FM sinusoids. Therefore, we apply established signal processing tools, such as time-frequency representations to show that for each time instant, the energy i... View full abstract»

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  • New Classes of Radiometric and Combined Radiometric-Geometric Invariant Descriptors

    Publication Year: 2008, Page(s):991 - 1006
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4446 KB) | HTML iconHTML

    Real images can contain geometric distortions as well as photometric degradations. Analysis and characterization of those images without recourse to either restoration or geometric standardization is of great importance for the computer vision community as those two processes are often ill-posed problems. To this end, it is necessary to implement image descriptors that make it possible to identify... View full abstract»

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  • Principal Axes Estimation Using the Vibration Modes of Physics-Based Deformable Models

    Publication Year: 2008, Page(s):1007 - 1019
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (931 KB) | HTML iconHTML

    This paper addresses the issue of accurate, effective, computationally efficient, fast, and fully automated 2-D object orientation and scaling factor estimation. The object orientation is calculated using object principal axes estimation. The approach relies on the object's frequency-based features. The frequency-based features used by the proposed technique are extracted by a 2-D physics-based de... View full abstract»

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  • Cross-Layer Optimization for Video Transmission Over Multirate GMC-CDMA Wireless Links

    Publication Year: 2008, Page(s):1020 - 1024
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (307 KB) | HTML iconHTML

    In this paper, we consider the problem of video transmission over wireless generalized multicarrier code division multiple access (GMC-CDMA) systems. Such systems offer deterministic elimination of multiple access interference. A scalable video source codec is used and a multirate setup is assumed, i.e., each video user is allowed to occupy more than one GMC-CDMA channels. Furthermore, each of the... View full abstract»

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  • IEEE Transactions on Image Processing EDICS

    Publication Year: 2008, Page(s): 1025
    Request permission for commercial reuse | PDF file iconPDF (21 KB)
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  • IEEE Transactions on Image Processing Information for authors

    Publication Year: 2008, Page(s):1026 - 1027
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    Freely Available from IEEE
  • 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

    Publication Year: 2008, Page(s): 1028
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  • Leading the field since 1884 [advertisement]

    Publication Year: 2008, Page(s): 1029
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  • IEEE copyright form

    Publication Year: 2008, Page(s):1030 - 1031
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  • Order form for reprints

    Publication Year: 2008, Page(s): 1032
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    Freely Available from IEEE
  • IEEE Signal Processing Society Information

    Publication Year: 2008, Page(s): C3
    Request permission for commercial reuse | PDF file iconPDF (33 KB)
    Freely Available from IEEE

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