# IEEE Transactions on Image Processing

## Filter Results

Displaying Results 1 - 25 of 30

Publication Year: 2012, Page(s):C1 - C4
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• ### IEEE Transactions on Image Processing publication information

Publication Year: 2012, Page(s): C2
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• ### No-Reference Image Quality Assessment Using Visual Codebooks

Publication Year: 2012, Page(s):3129 - 3138
Cited by:  Papers (75)
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The goal of no-reference objective image quality assessment (NR-IQA) is to develop a computational model that can predict the human-perceived quality of distorted images accurately and automatically without any prior knowledge of reference images. Most existing NR-IQA approaches are distortion specific and are typically limited to one or two specific types of distortions. In most practical applica... View full abstract»

• ### Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application

Publication Year: 2012, Page(s):3139 - 3149
Cited by:  Papers (19)
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The problem of reconstruction of digital images from their blurred and noisy measurements is unarguably one of the central problems in imaging sciences. Despite its ill-posed nature, this problem can often be solved in a unique and stable manner, provided appropriate assumptions on the nature of the images to be recovered. In this paper, however, a more challenging setting is considered, in which ... View full abstract»

• ### Self-Crossing Detection and Location for Parametric Active Contours

Publication Year: 2012, Page(s):3150 - 3156
Cited by:  Papers (10)
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Active contours are very popular tools for video tracking and image segmentation. Parameterized contours are used due to their fast evolution and have become the method of choice in the Sobolev context. Unfortunately, these contours are not easily adaptable to topological changes, and they may sometimes develop undesirable loops, resulting in erroneous results. To solve such topological problems, ... View full abstract»

• ### Cognition and Removal of Impulse Noise With Uncertainty

Publication Year: 2012, Page(s):3157 - 3167
Cited by:  Papers (33)
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Uncertainties are the major inherent feature of impulse noise. This fact makes image denoising a difficult task. Understanding the uncertainties can improve the performance of image denoising. This paper presents a novel adaptive detail-preserving filter based on the cloud model (CM) to remove impulse noise. It is called the CM filter. First, an uncertainty-based detector identifies the pixels cor... View full abstract»

• ### A Multiplicative Iterative Algorithm for Box-Constrained Penalized Likelihood Image Restoration

Publication Year: 2012, Page(s):3168 - 3181
Cited by:  Papers (12)
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Image restoration is a computationally intensive problem as a large number of pixel values have to be determined. Since the pixel values of digital images can attain only a finite number of values (e.g., 8-bit images can have only 256 gray levels), one would like to recover an image within some dynamic range. This leads to the imposition of box constraints on the pixel values. The traditional grad... View full abstract»

• ### Posterior-Mean Super-Resolution With a Causal Gaussian Markov Random Field Prior

Publication Year: 2012, Page(s):3182 - 3193
Cited by:  Papers (12)
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We propose a Bayesian image super-resolution (SR) method with a causal Gaussian Markov random field (MRF) prior. SR is a technique to estimate a spatially high-resolution image from given multiple low-resolution images. An MRF model with the line process supplies a preferable prior for natural images with edges. We improve the existing image transformation model, the compound MRF model, and its hy... View full abstract»

• ### Image Super-Resolution With Sparse Neighbor Embedding

Publication Year: 2012, Page(s):3194 - 3205
Cited by:  Papers (112)  |  Patents (2)
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Until now, neighbor-embedding-based (NE) algorithms for super-resolution (SR) have carried out two independent processes to synthesize high-resolution (HR) image patches. In the first process, neighbor search is performed using the Euclidean distance metric, and in the second process, the optimal weights are determined by solving a constrained least squares problem. However, the separate processes... View full abstract»

• ### Distributed Representation of Geometrically Correlated Images With Compressed Linear Measurements

Publication Year: 2012, Page(s):3206 - 3219
Cited by:  Papers (10)
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This paper addresses the problem of distributed coding of images whose correlation is driven by the motion of objects or the camera positioning. It concentrates on the problem where images are encoded with compressed linear measurements. We propose a geometry-based correlation model that describes the common information in pairs of images. We assume that the constitutive components of natural imag... View full abstract»

• ### Generalized Block-Lifting Factorization of $M$-Channel Biorthogonal Filter Banks for Lossy-to-Lossless Image Coding

Publication Year: 2012, Page(s):3220 - 3228
Cited by:  Papers (17)
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Generalized block-lifting factorization of M-channel (M >; 2) biorthogonal filter banks (BOFBs) for lossy-to-lossless image coding is presented in this paper. Since the proposed block-lifting structure is more general than the conventional lifting factorizations and does NOT require many restrictions such as paraunitary, number of channels, and McMillan degree in each building blo... View full abstract»

• ### Progressive Significance Map and Its Application to Error-Resilient Image Transmission

Publication Year: 2012, Page(s):3229 - 3238
Cited by:  Papers (1)
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Set partition coding (SPC) has shown tremendous success in image compression. Despite its popularity, the lack of error resilience remains a significant challenge to the transmission of images in error-prone environments. In this paper, we propose a novel data representation called the progressive significance map (prog-sig-map) for error-resilient SPC. It structures the significance map (sig-map)... View full abstract»

• ### A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space

Publication Year: 2012, Page(s):3239 - 3252
Cited by:  Papers (58)
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A collaborative convex framework for factoring a data matrix X into a nonnegative product AS , with a sparse coefficient matrix S, is proposed. We restrict the columns of the dictionary matrix A to coincide with certain columns of the data matrix X, thereby guaranteeing a physically meaningful dictionary and dimensionality reduction. We use l1, ȡ... View full abstract»

• ### Perceptual Strength of 3-D Crosstalk in Both Achromatic and Color Images in Stereoscopic 3-D Displays

Publication Year: 2012, Page(s):3253 - 3261
Cited by:  Papers (13)
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The cognitive strength of crosstalk in stereoscopic 3-D displays is investigated, and new quantitative analysis methods based on color difference and grayscale levels are developed. Unlike results using existing metrics, results by the new methods agree well with the perceived crosstalk strength in achromatic images with various levels of grayscale. The crosstalk in color images, which has not bee... View full abstract»

• ### Adaptive Hypergraph Learning and its Application in Image Classification

Publication Year: 2012, Page(s):3262 - 3272
Cited by:  Papers (174)
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Recent years have witnessed a surge of interest in graph-based transductive image classification. Existing simple graph-based transductive learning methods only model the pairwise relationship of images, however, and they are sensitive to the radius parameter used in similarity calculation. Hypergraph learning has been investigated to solve both difficulties. It models the high-order relationship ... View full abstract»

• ### Robust Tracking With Discriminative Ranking Lists

Publication Year: 2012, Page(s):3273 - 3281
Cited by:  Papers (8)
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In this paper, we propose a novel tracking algorithm, i.e., the discriminative ranking list-based tracker (DRLTracker). The DRLTracker models the target object and its local background by using ranking lists of patches of different scales within object bounding boxes. The ranking list of each of such patches is its K nearest neighbors. Patches of the same scale with ranking lists of high pu... View full abstract»

• ### Collaborative Sensing in a Distributed PTZ Camera Network

Publication Year: 2012, Page(s):3282 - 3295
Cited by:  Papers (51)
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The performance of dynamic scene algorithms often suffers because of the inability to effectively acquire features on the targets, particularly when they are distributed over a wide field of view. In this paper, we propose an integrated analysis and control framework for a pan, tilt, zoom (PTZ) camera network in order to maximize various scene understanding performance criteria (e.g., tracking acc... View full abstract»

• ### Transferring Visual Prior for Online Object Tracking

Publication Year: 2012, Page(s):3296 - 3305
Cited by:  Papers (53)
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Visual prior from generic real-world images can be learned and transferred for representing objects in a scene. Motivated by this, we propose an algorithm that transfers visual prior learned offline for online object tracking. From a collection of real-world images, we learn an overcomplete dictionary to represent visual prior. The prior knowledge of objects is generic, and the training image set ... View full abstract»

• ### Multirate-Based Fast Parallel Algorithms for 2-D DHT-Based Real-Valued Discrete Gabor Transform

Publication Year: 2012, Page(s):3306 - 3311
Cited by:  Papers (5)
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Novel algorithms for the multirate and fast parallel implementation of the 2-D discrete Hartley transform (DHT)-based real-valued discrete Gabor transform (RDGT) and its inverse transform are presented in this paper. A 2-D multirate-based analysis convolver bank is designed for the 2-D RDGT, and a 2-D multirate-based synthesis convolver bank is designed for the 2-D inverse RDGT. The parallel chann... View full abstract»

• ### Interpolation-Based Image Super-Resolution Using Multisurface Fitting

Publication Year: 2012, Page(s):3312 - 3318
Cited by:  Papers (38)
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In this paper, we propose a new interpolation-based method of image super-resolution reconstruction. The idea is using multisurface fitting to take full advantage of spatial structure information. Each site of low-resolution pixels is fitted with one surface, and the final estimation is made by fusing the multisampling values on these surfaces in the maximum a posteriori fashion. With this method,... View full abstract»

• ### Comment on “Cheating Prevention in Visual Cryptography”

Publication Year: 2012, Page(s):3319 - 3323
Cited by:  Papers (23)
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Visual cryptography (VC), proposed by Naor and Shamir, has numerous applications, including visual authentication and identification, steganography, and image encryption. In 2006, Horng showed that cheating is possible in VC, where some participants can deceive the remaining participants by forged transparencies. Since then, designing cheating-prevention visual secret-sharing (CPVSS) schemes has b... View full abstract»

• ### Shape-From-Focus by Tensor Voting

Publication Year: 2012, Page(s):3323 - 3328
Cited by:  Papers (7)
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In this correspondence, we address the task of recovering shape-from-focus (SFF) as a perceptual organization problem in 3-D. Using tensor voting, depth hypotheses from different focus operators are validated based on their likelihood to be part of a coherent 3-D surface, thereby exploiting scene geometry and focus information to generate reliable depth estimates. The proposed method is fast and y... View full abstract»

• ### Corrections to Table of Contents in January 2012

Publication Year: 2012, Page(s): 3329
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The Table of Contents for the above-named issue [ibid.,vol. 21, no. 1, Jan. 2012] contained incorrect pagination details for several papers. The corrected information is provided. View full abstract»

• ### IEEE Transactions on Image Processing EDICS

Publication Year: 2012, Page(s): 3330
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• ### IEEE Transactions on Image Processing information for authors

Publication Year: 2012, Page(s):3331 - 3332
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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.

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