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Image Processing, IEEE Transactions on

Issue 4 • Date April 2007

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Displaying Results 1 - 25 of 28
  • Table of contents

    Publication Year: 2007 , Page(s): C1 - C4
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  • IEEE Transactions on Image Processing publication information

    Publication Year: 2007 , Page(s): C2
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  • A New Orientation-Adaptive Interpolation Method

    Publication Year: 2007 , Page(s): 889 - 900
    Cited by:  Papers (47)  |  Patents (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (9272 KB) |  | HTML iconHTML  

    We propose an isophote-oriented, orientation-adaptive interpolation method. The proposed method employs an interpolation kernel that adapts to the local orientation of isophotes, and the pixel values are obtained through an oriented, bilinear interpolation. We show that, by doing so, the curvature of the interpolated isophotes is reduced, and, thus, zigzagging artifacts are largely suppressed. Ana... View full abstract»

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  • State-Space Analysis of Cardiac Motion With Biomechanical Constraints

    Publication Year: 2007 , Page(s): 901 - 917
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (4092 KB) |  | HTML iconHTML  

    Quantitative estimation of nonrigid motion from image sequences has important technical and practical significance. State-space analysis provides powerful and convenient ways to construct and incorporate the physically meaningful system dynamics of an object, the image-derived observations, and the process and measurement noise disturbances. In this paper, we present a biomechanical-model constrai... View full abstract»

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  • Multidimensional Directional Filter Banks and Surfacelets

    Publication Year: 2007 , Page(s): 918 - 931
    Cited by:  Papers (29)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1632 KB) |  | HTML iconHTML  

    In 1992, Bamberger and Smith proposed the directional filter bank (DFB) for an efficient directional decomposition of 2-D signals. Due to the nonseparable nature of the system, extending the DFB to higher dimensions while still retaining its attractive features is a challenging and previously unsolved problem. We propose a new family of filter banks, named NDFB, that can achieve the directional de... View full abstract»

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  • Tomographic Reconstruction of Dynamic Cardiac Image Sequences

    Publication Year: 2007 , Page(s): 932 - 942
    Cited by:  Papers (20)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1369 KB) |  | HTML iconHTML  

    In this paper, we propose an approach for the reconstruction of dynamic images from a gated cardiac data acquisition. The goal is to obtain an image sequence that can show simultaneously both cardiac motion and time-varying image activities. To account for the cardiac motion, the cardiac cycle is divided into a number of gate intervals, and a time-varying image function is reconstructed for each g... View full abstract»

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  • Quality Evaluation of Motion-Compensated Edge Artifacts in Compressed Video

    Publication Year: 2007 , Page(s): 943 - 956
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (843 KB) |  | HTML iconHTML  

    Little attention has been paid to an impairment common in motion-compensated video compression: the addition of high-frequency (HF) energy as motion compensation displaces blocking artifacts off block boundaries. In this paper, we employ an energy-based approach to measure this motion-compensated edge artifact, using both compressed bitstream information and decoded pixels. We evaluate the perform... View full abstract»

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  • A New Divergence Measure for Medical Image Registration

    Publication Year: 2007 , Page(s): 957 - 966
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (888 KB) |  | HTML iconHTML  

    A new type of divergence measure for the registration of medical images is introduced that exploits the properties of the modified Bessel functions of the second kind. The properties of the proposed divergence coefficient are analysed and compared with those of the classic measures, including Kullback-Leibler, Renyi, and Ialpha divergences. To ensure its effectiveness and widespread app... View full abstract»

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  • Efficient Entropy Estimation Based on Doubly Stochastic Models for Quantized Wavelet Image Data

    Publication Year: 2007 , Page(s): 967 - 981
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (932 KB) |  | HTML iconHTML  

    Under a rate constraint, wavelet-based image coding involves strategic discarding of information such that the remaining data can be described with a given amount of rate. In a practical coding system, this task requires knowledge of the relationship between quantization step size and compressed rate for each group of wavelet coefficients, the R-Q curve. A common approach to this problem is to fit... View full abstract»

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  • Ordering for Embedded Coding of Wavelet Image Data Based on Arbitrary Scalar Quantization Schemes

    Publication Year: 2007 , Page(s): 982 - 996
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1619 KB) |  | HTML iconHTML  

    Many modern wavelet quantization schemes specify wavelet coefficient step sizes as continuous functions of an input step-size selection criterion; rate control is achieved by selecting an appropriate set of step sizes. In embedded wavelet coders, however, rate control is achieved simply by truncating the coded bit stream at the desired rate. The order in which wavelet data are coded implicitly con... View full abstract»

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  • Lossless Video Sequence Compression Using Adaptive Prediction

    Publication Year: 2007 , Page(s): 997 - 1007
    Cited by:  Papers (16)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (476 KB) |  | HTML iconHTML  

    We present an adaptive lossless video compression algorithm based on predictive coding. The proposed algorithm exploits temporal, spatial, and spectral redundancies in a backward adaptive fashion with extremely low side information. The computational complexity is further reduced by using a caching strategy. We also study the relationship between the operational domain for the coder (wavelet or sp... View full abstract»

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  • A Maximum Entropy Approach to Unsupervised Mixed-Pixel Decomposition

    Publication Year: 2007 , Page(s): 1008 - 1021
    Cited by:  Papers (24)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1464 KB) |  | HTML iconHTML  

    Due to the wide existence of mixed pixels, the derivation of constituent components (endmembers) and their fractional proportions (abundances) at the subpixel scale has been given a lot of attention. The entire process is often referred to as mixed-pixel decomposition or spectral unmixing. Although various algorithms have been proposed to solve this problem, two potential issues still need to be f... View full abstract»

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  • Combined Error Concealment and Error Correction in Rate-Distortion Analysis for Multiple Substream Transmissions

    Publication Year: 2007 , Page(s): 1022 - 1035
    Cited by:  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2816 KB) |  | HTML iconHTML  

    We propose a new framework for multiple scalable bitstream video communications over lossy channels. The major feature of the framework is that the encoder estimates the effects of postprocessing concealment and includes those effects in the rate-distortion analysis. Based on the framework, we develop a rate-distortion optimization algorithm to generate multiple scalable bitstreams. The algorithm ... View full abstract»

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  • Vertex-Based Diffusion for 3-D Mesh Denoising

    Publication Year: 2007 , Page(s): 1036 - 1045
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1831 KB) |  | HTML iconHTML  

    We present a vertex-based diffusion for 3-D mesh denoising by solving a nonlinear discrete partial differential equation. The core idea behind our proposed technique is to use geometric insight in helping construct an efficient and fast 3-D mesh smoothing strategy to fully preserve the geometric structure of the data. Illustrating experimental results demonstrate a much improved performance of the... View full abstract»

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  • Interactive Image Segmentation via Adaptive Weighted Distances

    Publication Year: 2007 , Page(s): 1046 - 1057
    Cited by:  Papers (37)  |  Patents (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1698 KB) |  | HTML iconHTML  

    An interactive algorithm for soft segmentation of natural images is presented in this paper. The user first roughly scribbles different regions of interest, and from them, the whole image is automatically segmented. This soft segmentation is obtained via fast, linear complexity computation of weighted distances to the user-provided scribbles. The adaptive weights are obtained from a series of Gabo... View full abstract»

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  • Perceptual Color Correction Through Variational Techniques

    Publication Year: 2007 , Page(s): 1058 - 1072
    Cited by:  Papers (18)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (924 KB) |  | HTML iconHTML  

    In this paper, we present a discussion about perceptual-based color correction of digital images in the framework of variational techniques. We propose a novel image functional whose minimization produces a perceptually inspired color enhanced version of the original. The variational formulation permits a more flexible local control of contrast adjustment and attachment to data. We show that a num... View full abstract»

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  • Fast and Stable Bayesian Image Expansion Using Sparse Edge Priors

    Publication Year: 2007 , Page(s): 1073 - 1084
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3219 KB) |  | HTML iconHTML  

    Smoothness assumptions in traditional image expansion cause blurring of edges and other high-frequency content that can be perceptually disturbing. Previous edge-preserving approaches are either ad hoc, statistically untenable, or computationally unattractive. We propose a new edge-driven stochastic prior image model and obtain the maximum a posteriori (MAP) estimate under this model. The MAP esti... View full abstract»

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  • Binary Weighted Averaging of an Ensemble of Coherently Collected Image Frames

    Publication Year: 2007 , Page(s): 1085 - 1100
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3353 KB) |  | HTML iconHTML  

    Recent interest in the collection of remote laser radar imagery has motivated novel systems that process temporally contiguous frames of collected imagery to produce an average image that reduces laser speckle, increases image SNR, decreases the deleterious effects of atmospheric distortion, and enhances image detail. This research seeks an algorithm based on Bayesian estimation theory to select t... View full abstract»

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  • Deblurring of Color Images Corrupted by Impulsive Noise

    Publication Year: 2007 , Page(s): 1101 - 1111
    Cited by:  Papers (20)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1534 KB) |  | HTML iconHTML  

    We consider the problem of restoring a multichannel image corrupted by blur and impulsive noise (e.g., salt-and-pepper noise). Using the variational framework, we consider the L1 fidelity term and several possible regularizers. In particular, we use generalizations of the Mumford-Shah (MS) functional to color images and Gamma-convergence approximations to unify deblurring and denoising.... View full abstract»

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  • A Detection Statistic for Random-Valued Impulse Noise

    Publication Year: 2007 , Page(s): 1112 - 1120
    Cited by:  Papers (34)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2833 KB) |  | HTML iconHTML  

    This paper proposes an image statistic for detecting random-valued impulse noise. By this statistic, we can identify most of the noisy pixels in the corrupted images. Combining it with an edge-preserving regularization, we obtain a powerful two-stage method for denoising random-valued impulse noise, even for noise levels as high as 60%. Simulation results show that our method is significantly bett... View full abstract»

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  • A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation

    Publication Year: 2007 , Page(s): 1121 - 1130
    Cited by:  Papers (36)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1340 KB) |  | HTML iconHTML  

    We propose a new approach for image segmentation based on a hierarchical and spatially variant mixture model. According to this model, the pixel labels are random variables and a smoothness prior is imposed on them. The main novelty of this work is a new family of smoothness priors for the label probabilities in spatially variant mixture models. These Gauss-Markov random field-based priors allow a... View full abstract»

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  • Binary Partition Tree Analysis Based on Region Evolution and Its Application to Tree Simplification

    Publication Year: 2007 , Page(s): 1131 - 1138
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2663 KB) |  | HTML iconHTML  

    Pyramid image representations via tree structures are recognized methods for region-based image analysis. Binary partition trees can be applied which document the merging process with small details found at the bottom levels and larger ones close to the root. Hindsight of the merging process is stored within the tree structure and provides the change histories of an image property from the leaf to... View full abstract»

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  • A Coupled Statistical Model for Face Shape Recovery From Brightness Images

    Publication Year: 2007 , Page(s): 1139 - 1151
    Cited by:  Papers (13)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (7454 KB) |  | HTML iconHTML  

    We focus on the problem of developing a coupled statistical model that can be used to recover facial shape from brightness images of faces. We study three alternative representations for facial shape. These are the surface height function, the surface gradient, and a Fourier basis representation. We jointly capture variations in intensity and the surface shape representations using a coupled stati... View full abstract»

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  • A New Family of Nonredundant Transforms Using Hybrid Wavelets and Directional Filter Banks

    Publication Year: 2007 , Page(s): 1152 - 1167
    Cited by:  Papers (29)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (7379 KB) |  | HTML iconHTML  

    We propose a new family of nonredundant geometrical image transforms that are based on wavelets and directional filter banks. We convert the wavelet basis functions in the finest scales to a flexible and rich set of directional basis elements by employing directional filter banks, where we form a nonredundant transform family, which exhibits both directional and nondirectional basis functions. We ... View full abstract»

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  • Semantic-Based Surveillance Video Retrieval

    Publication Year: 2007 , Page(s): 1168 - 1181
    Cited by:  Papers (39)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1902 KB) |  | HTML iconHTML  

    Visual surveillance produces large amounts of video data. Effective indexing and retrieval from surveillance video databases are very important. Although there are many ways to represent the content of video clips in current video retrieval algorithms, there still exists a semantic gap between users and retrieval systems. Visual surveillance systems supply a platform for investigating semantic-bas... 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