# IEEE Transactions on Image Processing

## Filter Results

Displaying Results 1 - 25 of 27

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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• ### $varepsilon$ -Optimal Non-Bayesian Anomaly Detection for Parametric Tomography

Publication Year: 2008, Page(s):1985 - 1999
Cited by:  Papers (11)
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The non-Bayesian detection of an anomaly from a single or a few noisy tomographic projections is considered as a statistical hypotheses testing problem. It is supposed that a radiography is composed of an imaged nonanomalous background medium, considered as a deterministic nuisance parameter, with a possibly hidden anomaly. Because the full voxel-by-voxel reconstruction is impossible, an original ... View full abstract»

• ### Visual Attention on the Sphere

Publication Year: 2008, Page(s):2000 - 2014
Cited by:  Papers (9)
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Human visual system makes an extensive use of visual attention in order to select the most relevant information and speed-up the vision process. Inspired by visual attention, several computer models have been developed and many computer vision applications rely today on such models. However, the actual algorithms are not suitable to omnidirectional images, which contain a significant amount of geo... View full abstract»

• ### Deinterlacing Using Variational Methods

Publication Year: 2008, Page(s):2015 - 2028
Cited by:  Papers (14)
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We present a variational framework for deinterlacing that was originally used for inpainting and subsequently redeveloped for deinterlacing. From the framework, we derive a motion adaptive (MA) deinterlacer and a motion compensated (MC) deinterlacer and test them together with a selection of known deinterlacers. To illustrate the need for MC deinterlacing, the problem of details in motion (DIM) is... View full abstract»

• ### Localizing Region-Based Active Contours

Publication Year: 2008, Page(s):2029 - 2039
Cited by:  Papers (499)  |  Patents (4)
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In this paper, we propose a natural framework that allows any region-based segmentation energy to be re-formulated in a local way. We consider local rather than global image statistics and evolve a contour based on local information. Localized contours are capable of segmenting objects with heterogeneous feature profiles that would be difficult to capture correctly using a standard global method. ... View full abstract»

• ### The Pairing of a Wavelet Basis With a Mildly Redundant Analysis via Subband Regression

Publication Year: 2008, Page(s):2040 - 2052
Cited by:  Papers (16)  |  Patents (2)
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A distinction is usually made between wavelet bases and wavelet frames. The former are associated with a one-to-one representation of signals, which is somewhat constrained but most efficient computationally. The latter are over-complete, but they offer advantages in terms of flexibility (shape of the basis functions) and shift-invariance. In this paper, we propose a framework for improved wavelet... View full abstract»

• ### Compactly Supported Orthogonal and Biorthogonal $sqrt 5$-Refinement Wavelets With 4-Fold Symmetry

Publication Year: 2008, Page(s):2053 - 2062
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Recently, radic5 -refinement hierarchical sampling has been studied and radic5-refinement has been used for surface subdivision. Compared with other refinements, such as the dyadic or quincunx refinement, radic5-refinement has a special property that the nodes in a refined lattice form groups of five nodes with these five nodes having different x and y coordinates. This special prope... View full abstract»

• ### Complex Wavelet Bases, Steerability, and the Marr-Like Pyramid

Publication Year: 2008, Page(s):2063 - 2080
Cited by:  Papers (23)
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Our aim in this paper is to tighten the link between wavelets, some classical image-processing operators, and David Marr's theory of early vision. The cornerstone of our approach is a new complex wavelet basis that behaves like a smoothed version of the Gradient-Laplace operator. Starting from first principles, we show that a single-generator wavelet can be defined analytically and that it yields ... View full abstract»

• ### Efficient Total Variation Minimization Methods for Color Image Restoration

Publication Year: 2008, Page(s):2081 - 2088
Cited by:  Papers (24)
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In this paper, we consider and study a total variation minimization model for color image restoration. In the proposed model, we use the color total variation minimization scheme to denoise the deblurred color image. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. We show the convergence of the alternating minimization algorithm and dem... View full abstract»

• ### Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures

Publication Year: 2008, Page(s):2089 - 2101
Cited by:  Papers (29)
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We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as samples of a multivariate Gaussian density that are modulated and rotated according to the values of two hidden random variables, thus allowing the model to adapt to the local amplitude and orientation of the signal. A t... View full abstract»

• ### Lossless Compression of Color Sequences Using Optimal Linear Prediction Theory

Publication Year: 2008, Page(s):2102 - 2111
Cited by:  Papers (4)
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In this paper, we present a novel technique that uses the optimal linear prediction theory to exploit all the existing redundancies in a color video sequence for lossless compression purposes. The main idea is to introduce the spatial, the spectral, and the temporal correlations in the autocorrelation matrix estimate. In this way, we calculate the cross correlations between adjacent frames and adj... View full abstract»

• ### Turbo Codes-Based Image Transmission for Channels With Multiple Types of Distortion

Publication Year: 2008, Page(s):2112 - 2121
Cited by:  Papers (5)
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Product codes are generally used for progressive image transmission when random errors and packet loss (or burst errors) co-exist. However, the optimal rate allocation considering both component codes gives rise to high-optimization complexity. In addition, the decoding performance may be degraded quickly when the channel varies beyond the design point. In this paper, we propose a new unequal erro... View full abstract»

• ### Sampling-Based Correlation Estimation for Distributed Source Coding Under Rate and Complexity Constraints

Publication Year: 2008, Page(s):2122 - 2137
Cited by:  Papers (19)
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In many practical distributed source coding (DSC) applications, correlation information has to be estimated at the encoder in order to determine the encoding rate. Coding efficiency depends strongly on the accuracy of this correlation estimation. While error in estimation is inevitable, the impact of estimation error on compression efficiency has not been sufficiently studied for the DSC problem. ... View full abstract»

• ### Hierarchical Color Correction for Camera Cell Phone Images

Publication Year: 2008, Page(s):2138 - 2155
Cited by:  Papers (12)  |  Patents (2)
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In this paper, we propose a hierarchical color correction algorithm for enhancing the color of digital images obtained from low-quality digital image capture devices such as cell phone cameras. The proposed method is based on a multilayer hierarchical stochastic framework whose parameters are learned in an offline training procedure using the well-known expectation maximization (EM) algorithm. Thi... View full abstract»

• ### Synthetic Aperture Hitchhiker Imaging

Publication Year: 2008, Page(s):2156 - 2173
Cited by:  Papers (31)  |  Patents (1)
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We introduce a novel synthetic-aperture imaging method for radar systems that relies on sources of opportunity. We consider receivers that fly along arbitrary, but known, flight trajectories and develop a spatio-temporal correlation-based filtered-backprojection-type image reconstruction method. The method involves first correlating the measurements from two different receiver locations. This lead... View full abstract»

• ### Automatic Detection of Magnetic Flux Emergings in the Solar Atmosphere From Full-Disk Magnetogram Sequences

Publication Year: 2008, Page(s):2174 - 2185
Cited by:  Papers (1)
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In this paper, we present a novel method to detect Emerging Flux Regions (EFRs) in the solar atmosphere from consecutive full-disk Michelson Doppler Imager (MDI) magnetogram sequences. To our knowledge, this is the first developed technique for automatically detecting EFRs. The method includes several steps. First, the projection distortion on the MDI magnetograms is corrected. Second, the bipolar... View full abstract»

• ### Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects

Publication Year: 2008, Page(s):2186 - 2200
Cited by:  Papers (4)
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We propose a principled framework for recursively segmenting deformable objects across a sequence of frames. We demonstrate the usefulness of this method on left ventricular segmentation across a cardiac cycle. The approach involves a technique for learning the system dynamics together with methods of particle-based smoothing as well as nonparametric belief propagation on a loopy graphical model c... View full abstract»

• ### Binary Partition Trees for Object Detection

Publication Year: 2008, Page(s):2201 - 2216
Cited by:  Papers (53)  |  Patents (1)
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This paper discusses the use of binary partition trees (BPTs) for object detection. BPTs are hierarchical region-based representations of images. They define a reduced set of regions that covers the image support and that spans various levels of resolution. They are attractive for object detection as they tremendously reduce the search space. In this paper, several issues related to the use of BPT... View full abstract»

• ### Multistage Branch-and-Bound Merging for Planar Surface Segmentation in Disparity Space

Publication Year: 2008, Page(s):2217 - 2226
Cited by:  Papers (3)
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An iterative split-and-merge framework for the segmentation of planar surfaces in the disparity space is presented. Disparity of a scene is modeled by approximating various surfaces in the scene to be planar. In the split phase, the number of planar surfaces along with the underlying plane parameters is assumed to be known from the initialization or from the previous merge phase. Based on these pa... View full abstract»

• ### Fast Template Matching Based on Normalized Cross Correlation With Adaptive Multilevel Winner Update

Publication Year: 2008, Page(s):2227 - 2235
Cited by:  Papers (56)
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In this paper, we propose a fast pattern matching algorithm based on the normalized cross correlation (NCC) criterion by combining adaptive multilevel partition with the winner update scheme to achieve very efficient search. This winner update scheme is applied in conjunction with an upper bound for the cross correlation derived from Cauchy-Schwarz inequality. To apply the winner update scheme in ... View full abstract»

• ### 3-D Object Recognition Using 2-D Views

Publication Year: 2008, Page(s):2236 - 2255
Cited by:  Papers (21)
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We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize instances of specific objects (i.e., model-based) in a scene. This is in contrast to category-based object recognition methods where the goal is to search for instances of objects that belong to a certain visual categor... View full abstract»

• ### Face Recognition Using Spatially Constrained Earth Mover's Distance

Publication Year: 2008, Page(s):2256 - 2260
Cited by:  Papers (21)
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Face recognition is a challenging problem, especially when the face images are not strictly aligned (e.g., images can be captured from different viewpoints or the faces may not be accurately cropped by a human or automatic algorithm). In this correspondence, we investigate face recognition under the scenarios with potential spatial misalignments. First, we formulate an asymmetric similarity measur... View full abstract»

• ### IEEE Transactions on Image Processing EDICS

Publication Year: 2008, Page(s): 2261
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• ### IEEE Transactions on Image Processing information for authors

Publication Year: 2008, Page(s):2262 - 2263
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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

Gaurav Sharma
University of Rochester
Rochester, NY, USA
E-mail: gaurav.sharma@rochester.edu
Phone: +1 585-275-7313