By Topic

Image Processing, IEEE Transactions on

Issue 7 • Date July 2012

Filter Results

Displaying Results 1 - 25 of 30
  • Table of contents

    Publication Year: 2012 , Page(s): C1 - C4
    Save to Project icon | Request Permissions | PDF file iconPDF (178 KB)  
    Freely Available from IEEE
  • IEEE Transactions on Image Processing publication information

    Publication Year: 2012 , Page(s): C2
    Save to Project icon | Request Permissions | PDF file iconPDF (39 KB)  
    Freely Available from IEEE
  • No-Reference Image Quality Assessment Using Visual Codebooks

    Publication Year: 2012 , Page(s): 3129 - 3138
    Cited by:  Papers (13)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2721 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application

    Publication Year: 2012 , Page(s): 3139 - 3149
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2233 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Self-Crossing Detection and Location for Parametric Active Contours

    Publication Year: 2012 , Page(s): 3150 - 3156
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1128 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Cognition and Removal of Impulse Noise With Uncertainty

    Publication Year: 2012 , Page(s): 3157 - 3167
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (6212 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Multiplicative Iterative Algorithm for Box-Constrained Penalized Likelihood Image Restoration

    Publication Year: 2012 , Page(s): 3168 - 3181
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (12131 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Posterior-Mean Super-Resolution With a Causal Gaussian Markov Random Field Prior

    Publication Year: 2012 , Page(s): 3182 - 3193
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3366 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Image Super-Resolution With Sparse Neighbor Embedding

    Publication Year: 2012 , Page(s): 3194 - 3205
    Cited by:  Papers (20)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2328 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Distributed Representation of Geometrically Correlated Images With Compressed Linear Measurements

    Publication Year: 2012 , Page(s): 3206 - 3219
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2269 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • 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 (8)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2792 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Progressive Significance Map and Its Application to Error-Resilient Image Transmission

    Publication Year: 2012 , Page(s): 3229 - 3238
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1596 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space

    Publication Year: 2012 , Page(s): 3239 - 3252
    Cited by:  Papers (9)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3292 KB) |  | HTML iconHTML  

    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 l... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • 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 (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1163 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive Hypergraph Learning and its Application in Image Classification

    Publication Year: 2012 , Page(s): 3262 - 3272
    Cited by:  Papers (26)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1953 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Robust Tracking With Discriminative Ranking Lists

    Publication Year: 2012 , Page(s): 3273 - 3281
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2248 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Collaborative Sensing in a Distributed PTZ Camera Network

    Publication Year: 2012 , Page(s): 3282 - 3295
    Cited by:  Papers (23)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2419 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Transferring Visual Prior for Online Object Tracking

    Publication Year: 2012 , Page(s): 3296 - 3305
    Cited by:  Papers (9)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2382 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multirate-Based Fast Parallel Algorithms for 2-D DHT-Based Real-Valued Discrete Gabor Transform

    Publication Year: 2012 , Page(s): 3306 - 3311
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (268 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Interpolation-Based Image Super-Resolution Using Multisurface Fitting

    Publication Year: 2012 , Page(s): 3312 - 3318
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1104 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Comment on “Cheating Prevention in Visual Cryptography”

    Publication Year: 2012 , Page(s): 3319 - 3323
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (301 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Shape-From-Focus by Tensor Voting

    Publication Year: 2012 , Page(s): 3323 - 3328
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (625 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Corrections to Table of Contents in January 2012

    Publication Year: 2012 , Page(s): 3329
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (93 KB) |  | HTML iconHTML  

    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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • IEEE Transactions on Image Processing EDICS

    Publication Year: 2012 , Page(s): 3330
    Save to Project icon | Request Permissions | PDF file iconPDF (20 KB)  
    Freely Available from IEEE
  • IEEE Transactions on Image Processing information for authors

    Publication Year: 2012 , Page(s): 3331 - 3332
    Save to Project icon | Request Permissions | PDF file iconPDF (46 KB)  
    Freely Available from IEEE

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