# IEEE Transactions on Image Processing

## Filter Results

Displaying Results 1 - 25 of 27

Publication Year: 2011, Page(s):C1 - C4
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• ### IEEE Transactions on Image Processing publication information

Publication Year: 2011, Page(s): C2
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• ### Spatial Sparsity-Induced Prediction (SIP) for Images and Video: A Simple Way to Reject Structured Interference

Publication Year: 2011, Page(s):889 - 909
Cited by:  Papers (1)
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We propose a prediction technique that is geared toward forming successful estimates of a signal based on a correlated anchor signal that is contaminated with complex interference. The corruption in the anchor signal involves intensity modulations, linear distortions, structured interference, clutter, and noise just to name a few. The proposed setup reflects nontrivial prediction scenarios involvi... View full abstract»

• ### Goal-Oriented Rectification of Camera-Based Document Images

Publication Year: 2011, Page(s):910 - 920
Cited by:  Papers (24)
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Document digitization with either flatbed scanners or camera-based systems results in document images which often suffer from warping and perspective distortions that deteriorate the performance of current OCR approaches. In this paper, we present a goal-oriented rectification methodology to compensate for undesirable document image distortions aiming to improve the OCR result. Our approach relies... View full abstract»

• ### Dictionary Learning for Stereo Image Representation

Publication Year: 2011, Page(s):921 - 934
Cited by:  Papers (15)
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One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representations with overcomplete geometric dictionaries offer a way to efficiently approximate these images, such that the multi-view geometric structure becomes explicit in the representation. However, the choice of a good dictionary ... View full abstract»

• ### In Search of Perceptually Salient Groupings

Publication Year: 2011, Page(s):935 - 947
Cited by:  Papers (6)
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Finding meaningful groupings of image primitives has been a long-standing problem in computer vision. This paper studies how salient groupings can be produced using established theories in the field of visual perception alone. The major contribution is a novel definition of the Gestalt principle of Prägnanz, based upon Koffka's definition that image descriptions should be both stable and s... View full abstract»

• ### Salient Motion Features for Video Quality Assessment

Publication Year: 2011, Page(s):948 - 958
Cited by:  Papers (40)
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Design of algorithms that are able to estimate video quality as perceived by human observers is of interest for a number of applications. Depending on the video content, the artifacts introduced by the coding process can be more or less pronounced and diversely affect the quality of videos, as estimated by humans. While it is well understood that motion affects both human attention and coding qual... View full abstract»

• ### Fuzzy Random Impulse Noise Removal From Color Image Sequences

Publication Year: 2011, Page(s):959 - 970
Cited by:  Papers (27)
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In this paper, a new fuzzy filter for the removal of random impulse noise in color video is presented. By working with different successive filtering steps, a very good tradeoff between detail preservation and noise removal is obtained. One strong filtering step that should remove all noise at once would inevitably also remove a considerable amount of detail. Therefore, the noise is filtered step ... View full abstract»

• ### Fine-Granularity and Spatially-Adaptive Regularization for Projection-Based Image Deblurring

Publication Year: 2011, Page(s):971 - 983
Cited by:  Papers (19)
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This paper studies two classes of regularization strategies to achieve an improved tradeoff between image recovery and noise suppression in projection-based image deblurring. The first is based on a simple fact that r-times Landweber iteration leads to a fixed level of regularization, which allows us to achieve fine-granularity control of projection-based iterative deblurring by varying the value ... View full abstract»

• ### Variational Bayesian Super Resolution

Publication Year: 2011, Page(s):984 - 999
Cited by:  Papers (100)  |  Patents (3)
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In this paper, we address the super resolution (SR) problem from a set of degraded low resolution (LR) images to obtain a high resolution (HR) image. Accurate estimation of the sub-pixel motion between the LR images significantly affects the performance of the reconstructed HR image. In this paper, we propose novel super resolution methods where the HR image and the motion parameters are estimated... View full abstract»

• ### From Point to Local Neighborhood: Polyp Detection in CT Colonography Using Geodesic Ring Neighborhoods

Publication Year: 2011, Page(s):1000 - 1010
Cited by:  Papers (6)
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Existing polyp detection methods rely heavily on curvature-based characteristics to differentiate between lesions. These assume that the discrete triangulated surface mesh or volume closely approximates a smooth continuous surface. However, this is often not the case and because curvature is computed as a local feature and a second-order differential quantity, the presence of noise significantly a... View full abstract»

• ### Nonrigid Registration of 2-D and 3-D Dynamic Cell Nuclei Images for Improved Classification of Subcellular Particle Motion

Publication Year: 2011, Page(s):1011 - 1022
Cited by:  Papers (19)
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The observed motion of subcellular particles in fluorescence microscopy image sequences of live cells is generally a superposition of the motion and deformation of the cell and the motion of the particles. Decoupling the two types of movements to enable accurate classification of the particle motion requires the application of registration algorithms. We have developed an intensity-based approach ... View full abstract»

• ### Variable Length Open Contour Tracking Using a Deformable Trellis

Publication Year: 2011, Page(s):1023 - 1035
Cited by:  Papers (9)
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This paper focuses on contour tracking, an important problem in computer vision, and specifically on open contours that often directly represent a curvilinear object. Compelling applications are found in the field of bioimage analysis where blood vessels, dendrites, and various other biological structures are tracked over time. General open contour tracking, and biological images in particular, po... View full abstract»

• ### 1-D Transforms for the Motion Compensation Residual

Publication Year: 2011, Page(s):1036 - 1046
Cited by:  Papers (16)
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Transforms used in image coding are also commonly used to compress prediction residuals in video coding. Prediction residuals have different spatial characteristics from images, and it is useful to develop transforms that are adapted to prediction residuals. In this paper, we explore the differences between the characteristics of images and motion compensated prediction residuals by analyzing thei... View full abstract»

Publication Year: 2011, Page(s):1047 - 1060
Cited by:  Papers (21)
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In this paper, a multibit, multiplicative, spread spectrum watermarking using the discrete multiwavelet (including unbalanced and balanced multiwavelet) transform is presented. Performance improvement with respect to existing algorithm is obtained by means of a new just perceptual weighting (JPW) model. The new model incorporates various masking effects of human visual perception by taking into ac... View full abstract»

• ### Performance Analysis of $n$-Channel Symmetric FEC-Based Multiple Description Coding for OFDM Networks

Publication Year: 2011, Page(s):1061 - 1076
Cited by:  Papers (8)
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Recently, multiple description source coding has emerged as an attractive framework for robust multimedia transmission over packet erasure channels. In this paper, we mathematically analyze the performance of n-channel symmetric FEC-based multiple description coding for a progressive mode of transmission over orthogonal frequency division multiplexing (OFDM) networks in a frequency-selective slowl... View full abstract»

• ### Inverse Halftoning Based on the Bayesian Theorem

Publication Year: 2011, Page(s):1077 - 1084
Cited by:  Papers (12)
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This study proposes a method which can generate high quality inverse halftone images from halftone images. This method can be employed prior to any signal processing over a halftone image or the inverse halftoning used in JBIG2. The proposed method utilizes the least-mean-square (LMS) algorithm to establish a relationship between the current processing position and its corresponding neighboring po... View full abstract»

• ### Autofluorescence Removal by Non-Negative Matrix Factorization

Publication Year: 2011, Page(s):1085 - 1093
Cited by:  Papers (15)
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This paper describes a new, physically interpretable, fully automatic algorithm for removal of tissue autofluorescence (AF) from fluorescence microscopy images, by non-negative matrix factorization. Measurement of signal intensities from the concentration of certain fluorescent reporter molecules at each location within a sample of biological tissue is confounded by fluorescence produced by the ti... View full abstract»

• ### Discretization Error Analysis and Adaptive Meshing Algorithms for Fluorescence Diffuse Optical Tomography in the Presence of Measurement Noise

Publication Year: 2011, Page(s):1094 - 1111
Cited by:  Papers (6)
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Quantitatively accurate fluorescence diffuse optical tomographic (FDOT) image reconstruction is a computationally demanding problem that requires repeated numerical solutions of two coupled partial differential equations and an associated inverse problem. Recently, adaptive finite element methods have been explored to reduce the computation requirements of the FDOT image reconstruction. However, e... View full abstract»

• ### Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization

Publication Year: 2011, Page(s):1112 - 1125
Cited by:  Papers (63)
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Nonnegative matrix factorization (NMF) is a widely used method for blind spectral unmixing (SU), which aims at obtaining the endmembers and corresponding fractional abundances, knowing only the collected mixing spectral data. It is noted that the abundance may be sparse (i.e., the endmembers may be with sparse distributions) and sparse NMF tends to lead to a unique result, so it is intuitive and m... View full abstract»

• ### Spatiotemporal Localization and Categorization of Human Actions in Unsegmented Image Sequences

Publication Year: 2011, Page(s):1126 - 1140
Cited by:  Papers (29)
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In this paper we address the problem of localization and recognition of human activities in unsegmented image sequences. The main contribution of the proposed method is the use of an implicit representation of the spatiotemporal shape of the activity which relies on the spatiotemporal localization of characteristic ensembles of feature descriptors. Evidence for the spatiotemporal localization of t... View full abstract»

• ### Human Motion Tracking by Temporal-Spatial Local Gaussian Process Experts

Publication Year: 2011, Page(s):1141 - 1151
Cited by:  Papers (18)  |  Patents (2)
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Human pose estimation via motion tracking systems can be considered as a regression problem within a discriminative framework. It is always a challenging task to model the mapping from observation space to state space because of the high-dimensional characteristic in the multimodal conditional distribution. In order to build the mapping, existing techniques usually involve a large set of training ... View full abstract»

• ### Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation

Publication Year: 2011, Page(s):1152 - 1165
Cited by:  Papers (27)
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The authors present a robust face recognition system for large-scale data sets taken under uncontrolled illumination variations. The proposed face recognition system consists of a novel illumination-insensitive preprocessing method, a hybrid Fourier-based facial feature extraction, and a score fusion scheme. First, in the preprocessing stage, a face image is transformed into an illumination-insens... View full abstract»

• ### FAST Rate Allocation Through Steepest Descent for JPEG2000 Video Transmission

Publication Year: 2011, Page(s):1166 - 1173
Cited by:  Papers (7)
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This work addresses the transmission of pre-encoded JPEG2000 video within a video-on-demand scenario. The primary requirement for the rate allocation algorithm deployed in the server is to match the real-time processing demands of the application. Scalability in terms of complexity must be provided to supply a valid solution by a given instant of time. The FAst rate allocation through STeepest des... View full abstract»

• ### On a Derivative-Free Fan-Beam Reconstruction Formula

Publication Year: 2011, Page(s):1173 - 1176
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We clarify that the derivative-free fan-beam reconstruction formula [IEEE Trans. Image Process. 2, 543-547, 1993] only allows exact reconstruction of an object for a circular trajectory or at the origin of the coordinate system for a radially symmetric noncircular trajectory. 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.

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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