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# IEEE Transactions on Image Processing

## Filter Results

Displaying Results 1 - 25 of 35

Publication Year: 2010, Page(s):C1 - C4
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• ### IEEE Transactions on Image Processing publication information

Publication Year: 2010, Page(s): C2
| PDF (39 KB)
• ### Optical Flow Estimation for a Periodic Image Sequence

Publication Year: 2010, Page(s):1 - 10
Cited by:  Papers (8)
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We propose a temporal modeling approach for determining image motion from a sequence of images wherein the inherent motion is periodic over time. To exploit the periodic nature of the motion, we use a Fourier harmonic representation to model the temporal evolution of the motion field for the entire sequence. We then determine the motion field simultaneously for the different image frames by estima... View full abstract»

• ### Spatially Variant Convolution With Scaled B-Splines

Publication Year: 2010, Page(s):11 - 24
Cited by:  Papers (2)
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We present an efficient algorithm to compute multidimensional spatially variant convolutions-or inner products-between N-dimensional signals and B-splines-or their derivatives-of any order and arbitrary sizes. The multidimensional B-splines are computed as tensor products of 1-D B-splines, and the input signal is expressed in a B-spline basis. The convolution is then computed by using an adequate ... View full abstract»

• ### Adaptive Nonseparable Wavelet Transform via Lifting and its Application to Content-Based Image Retrieval

Publication Year: 2010, Page(s):25 - 35
Cited by:  Papers (48)
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We present in this paper a novel way to adapt a multidimensional wavelet filter bank, based on the nonseparable lifting scheme framework, to any specific problem. It allows the design of filter banks with a desired number of degrees of freedom, while controlling the number of vanishing moments of the primal wavelet (mathtilde N?? moments) and of the dual wavelet ( N?? moments). The p... View full abstract»

• ### Blind and Semi-Blind Deblurring of Natural Images

Publication Year: 2010, Page(s):36 - 52
Cited by:  Papers (82)
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A method for blind image deblurring is presented. The method only makes weak assumptions about the blurring filter and is able to undo a wide variety of blurring degradations. To overcome the ill-posedness of the blind image deblurring problem, the method includes a learning technique which initially focuses on the main edges of the image and gradually takes details into account. A new image prior... View full abstract»

• ### Bayesian Compressive Sensing Using Laplace Priors

Publication Year: 2010, Page(s):53 - 63
Cited by:  Papers (192)
| | PDF (1918 KB) | HTML

In this paper, we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for the signal and noise using the Bayesian framework. We utilize a hierarchical form of the Laplace prior to model the sparsity of the unknown signal. We describe the relationship among a number of sparsity priors proposed i... View full abstract»

• ### Bootstrap Resampling for Image Registration Uncertainty Estimation Without Ground Truth

Publication Year: 2010, Page(s):64 - 73
Cited by:  Papers (29)
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We address the problem of estimating the uncertainty of pixel based image registration algorithms, given just the two images to be registered, for cases when no ground truth data is available. Our novel method uses bootstrap resampling. It is very general, applicable to almost any registration method based on minimizing a pixel-based similarity criterion; we demonstrate it using the SSD, SAD, corr... View full abstract»

• ### Combining Local Filtering and Multiscale Analysis for Edge, Ridge, and Curvilinear Objects Detection

Publication Year: 2010, Page(s):74 - 84
Cited by:  Papers (20)
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This paper presents a general method for detecting curvilinear structures, like filaments or edges, in noisy images. This method relies on a novel technique, the feature-adapted beamlet transform (FABT) which is the main contribution of this paper. It combines the well-known beamlet transform (BT), introduced by Donoho , with local filtering techniques in order to improve both detection performanc... View full abstract»

• ### Directional Lapped Transforms for Image Coding

Publication Year: 2010, Page(s):85 - 97
Cited by:  Papers (11)
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In this paper, we present the design of directional lapped transforms for image coding. A lapped transform, which can be implemented by a prefilter followed by a discrete cosine transform (DCT), can be factorized into elementary operators. The corresponding directional lapped transform is generated by applying each elementary operator along a given direction. The proposed directional lapped transf... View full abstract»

• ### A Hybrid Frame Concealment Algorithm for H.264/AVC

Publication Year: 2010, Page(s):98 - 107
Cited by:  Papers (47)  |  Patents (6)
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In packet-based video transmissions, packets loss due to channel errors may result in the loss of the whole video frame. Recently, many error concealment algorithms have been proposed in order to combat channel errors; however, most of the existing algorithms can only deal with the loss of macroblocks and are not able to conceal the whole missing frame. In order to resolve this problem, in this pa... View full abstract»

• ### Optimizing Motion Compensated Prediction for Error Resilient Video Coding

Publication Year: 2010, Page(s):108 - 118
Cited by:  Papers (14)
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This paper is concerned with optimization of the motion compensated prediction framework to improve the error resilience of video coding for transmission over lossy networks. First, accurate end-to-end distortion estimation is employed to optimize both motion estimation and prediction within an overall rate-distortion framework. Low complexity practical variants are proposed: a method to approxima... View full abstract»

• ### Unsupervised Multiphase Segmentation: A Phase Balancing Model

Publication Year: 2010, Page(s):119 - 130
Cited by:  Papers (14)
| | PDF (1330 KB) | HTML

Variational models have been studied for image segmentation application since the Mumford-Shah functional was introduced in the late 1980s. In this paper, we focus on multiphase segmentation with a new regularization term that yields an unsupervised segmentation model. We propose a functional that automatically chooses a favorable number of phases as it segments the image. The primary driving forc... View full abstract»

• ### Reconstruction From Limited-Angle Projections Based on $delta-u$ Spectrum Analysis

Publication Year: 2010, Page(s):131 - 140
Cited by:  Papers (3)
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This paper proposes a sparse representation of an image using discrete δ-u functions. A δ-u function is defined as the product of a Kronecker delta function and a step function. Based on the sparse representation, we have developed a novel and effective method for reconstructing an image from limited-angle projections. The method first estimates the parameters of the ... View full abstract»

• ### ISAR Imaging of Maneuvering Targets Based on the Range Centroid Doppler Technique

Publication Year: 2010, Page(s):141 - 153
Cited by:  Papers (22)
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A new inverse synthetic aperture radar (ISAR) imaging approach is presented for application in situations where the maneuverability of noncooperative target is not too severe and the Doppler variation of subechoes from scatterers can be approximated as a first-order polynomial. The proposed algorithm is referred to as the range centroid Doppler (RCD) ISAR imaging technique and is based on the stre... View full abstract»

• ### Active Contouring Based on Gradient Vector Interaction and Constrained Level Set Diffusion

Publication Year: 2010, Page(s):154 - 164
Cited by:  Papers (38)
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This paper presents an extension of our recently introduced MAC model to deal with the initialization dependency problem that commonly appears in edge-based approaches. Its dynamic force field, unique bidirectionality, and constrained diffusion-based level set evolution provide great freedom in contour initialization and show significant improvements in initialization independency compared to othe... View full abstract»

• ### Determining Hysteresis Thresholds for Edge Detection by Combining the Advantages and Disadvantages of Thresholding Methods

Publication Year: 2010, Page(s):165 - 173
Cited by:  Papers (19)
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Hysteresis is an important technique for edge detection, but the unsupervised determination of its parameters is not an easy problem. In this paper, we propose a method for unsupervised determination of hysteresis thresholds using the advantages and disadvantages of two thresholding methods. The basic idea of our method is to look for the best hysteresis thresholds in a set of candidates. First, t... View full abstract»

• ### Biologically Inspired Feature Manifold for Scene Classification

Publication Year: 2010, Page(s):174 - 184
Cited by:  Papers (108)  |  Patents (1)
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Biologically inspired feature (BIF) and its variations have been demonstrated to be effective and efficient for scene classification. It is unreasonable to measure the dissimilarity between two BIFs based on their Euclidean distance. This is because BIFs are extrinsically very high dimensional and intrinsically low dimensional, i.e., BIFs are sampled from a low-dimensional manifold and embedded in... View full abstract»

• ### A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression

Publication Year: 2010, Page(s):185 - 198
Cited by:  Papers (298)
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Salient areas in natural scenes are generally regarded as areas which the human eye will typically focus on, and finding these areas is the key step in object detection. In computer vision, many models have been proposed to simulate the behavior of eyes such as SaliencyToolBox (STB), Neuromorphic Vision Toolkit (NVT), and others, but they demand high computational cost and computing useful results... View full abstract»

• ### Automatic Histogram Threshold Using Fuzzy Measures

Publication Year: 2010, Page(s):199 - 204
Cited by:  Papers (20)
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In this paper, an automatic histogram threshold approach based on a fuzziness measure is presented. This work is an improvement of an existing method. Using fuzzy logic concepts, the problems involved in finding the minimum of a criterion function are avoided. Similarity between gray levels is the key to find an optimal threshold. Two initial regions of gray levels, located at the boundaries of th... View full abstract»

• ### A Zernike Moment Phase-Based Descriptor for Local Image Representation and Matching

Publication Year: 2010, Page(s):205 - 219
Cited by:  Papers (55)
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A local image descriptor robust to the common photometric transformations (blur, illumination, noise, and JPEG compression) and geometric transformations (rotation, scaling, translation, and viewpoint) is crucial to many image understanding and computer vision applications. In this paper, the representation and matching power of region descriptors are to be evaluated. A common set of elliptical in... View full abstract»

• ### Effective Level Set Image Segmentation With a Kernel Induced Data Term

Publication Year: 2010, Page(s):220 - 232
Cited by:  Papers (23)
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This study investigates level set multiphase image segmentation by kernel mapping and piecewise constant modeling of the image data thereof. A kernel function maps implicitly the original data into data of a higher dimension so that the piecewise constant model becomes applicable. This leads to a flexible and effective alternative to complex modeling of the image data. The method uses an active cu... View full abstract»

• ### IEEE Signal Processing Society Information

Publication Year: 2010, Page(s): C3
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• ### An Optical Flow-Based Approach to Robust Face Recognition Under Expression Variations

Publication Year: 2010, Page(s):233 - 240
Cited by:  Papers (10)  |  Patents (1)
| | PDF (2035 KB) | HTML

Face recognition is one of the most intensively studied topics in computer vision and pattern recognition, but few are focused on how to robustly recognize faces with expressions under the restriction of one single training sample per class. A constrained optical flow algorithm, which combines the advantages of the unambiguous correspondence of feature point labeling and the flexible representatio... View full abstract»

• ### Lightweight Probabilistic Texture Retrieval

Publication Year: 2010, Page(s):241 - 253
Cited by:  Papers (37)
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This paper contemplates the framework of probabilistic image retrieval in the wavelet domain from a computational point of view. We not only focus on achieving high retrieval rates, but also discuss possible performance bottlenecks which might prevent practical application. We propose a novel retrieval approach which is motivated by previous research work on modeling the marginal distributions of ... View full abstract»

## 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