# IEEE Transactions on Image Processing

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Displaying Results 1 - 25 of 45
• ### [Front cover]

Publication Year: 2014, Page(s): C1
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• ### IEEE Transactions on Image Processing publication information

Publication Year: 2014, Page(s): C2
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Publication Year: 2014, Page(s):4212 - 4213
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• ### [Blank page]

Publication Year: 2014, Page(s):B4214 - B4215
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Publication Year: 2014, Page(s):4216 - 4218
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• ### [Blank page]

Publication Year: 2014, Page(s): B4219
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• ### Face Super-Resolution via Multilayer Locality-Constrained Iterative Neighbor Embedding and Intermediate Dictionary Learning

Publication Year: 2014, Page(s):4220 - 4231
Cited by:  Papers (42)
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Based on the assumption that low-resolution (LR) and high-resolution (HR) manifolds are locally isometric, the neighbor embedding super-resolution algorithms try to preserve the geometry (reconstruction weights) of the LR space for the reconstructed HR space, but neglect the geometry of the original HR space. Due to the degradation process of the LR image (e.g., noisy, blurred, and down-sampled), ... View full abstract»

• ### Effective CU Size Decision for HEVC Intracoding

Publication Year: 2014, Page(s):4232 - 4241
Cited by:  Papers (73)
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In high efficiency video coding (HEVC), the tree structured coding unit (CU) is adopted to allow recursive splitting into four equally sized blocks. At each depth level (or CU size), it enables up to 35 intraprediction modes, including a planar mode, a dc mode, and 33 directional modes. The intraprediction via exhaustive mode search exploited in the test model of HEVC (HM) effectively improves cod... View full abstract»

• ### A Universal Variational Framework for Sparsity-Based Image Inpainting

Publication Year: 2014, Page(s):4242 - 4254
Cited by:  Papers (9)
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In this paper, we extend an existing universal variational framework for image inpainting with new numerical algorithms. Given certain regularization operator Φ and denoting u the latent image, the basic model is to minimize the lp, (p = 0, 1) norm of Φu preserving the pixel values outside the inpainting region. Utilizing the operator splitting technique, the original prob... View full abstract»

• ### Incremental $N$ -Mode SVD for Large-Scale Multilinear Generative Models

Publication Year: 2014, Page(s):4255 - 4269
Cited by:  Papers (3)
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Tensor decomposition is frequently used in image processing and machine learning for its ability to express higher order characteristics of data. Among tensor decomposition methods, N-mode singular value decomposition (SVD) is widely used owing to its simplicity. However, the data dimension often becomes too large to perform N-mode SVD directly due to memory limitation. An incremental method to N-... View full abstract»

• ### VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment

Publication Year: 2014, Page(s):4270 - 4281
Cited by:  Papers (107)
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Perceptual image quality assessment (IQA) aims to use computational models to measure the image quality in consistent with subjective evaluations. Visual saliency (VS) has been widely studied by psychologists, neurobiologists, and computer scientists during the last decade to investigate, which areas of an image will attract the most attention of the human visual system. Intuitively, VS is closely... View full abstract»

• ### Joint Removal of Random and Fixed-Pattern Noise Through Spatiotemporal Video Filtering

Publication Year: 2014, Page(s):4282 - 4296
Cited by:  Papers (13)
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We propose a framework for the denoising of videos jointly corrupted by spatially correlated (i.e., nonwhite) random noise and spatially correlated fixed-pattern noise. Our approach is based on motion-compensated 3D spatiotemporal volumes, i.e., a sequence of 2D square patches extracted along the motion trajectories of the noisy video. First, the spatial and temporal correlations within each volum... View full abstract»

• ### DEB: Definite Error Bounded Tangent Estimator for Digital Curves

Publication Year: 2014, Page(s):4297 - 4310
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We propose a simple and fast method for tangent estimation of digital curves. This geometric-based method uses a small local region for tangent estimation and has a definite upper bound error for continuous as well as digital conics, i.e., circles, ellipses, parabolas, and hyperbolas. Explicit expressions of the upper bounds for continuous and digitized curves are derived, which can also be applie... View full abstract»

• ### Linearly Estimating All Parameters of Affine Motion Using Radon Transform

Publication Year: 2014, Page(s):4311 - 4321
Cited by:  Papers (4)
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Fast and accurate motion estimation takes an important place in many fields of computer vision and image processing. Using Radon transform to compute projections of the images along specified directions is an effective way to show the relationship between the 2D image object and its projections and estimate motions between the images. All existing projection-based motion estimation methods without... View full abstract»

• ### Nonlinear Deconvolution of Hyperspectral Data With MCMC for Studying the Kinematics of Galaxies

Publication Year: 2014, Page(s):4322 - 4335
Cited by:  Papers (4)
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Hyperspectral imaging has been an area of active research in image processing and analysis for more than 10 years, mainly for remote sensing applications. Astronomical ground-based hyperspectral imagers offer new challenges to the community, which differ from the previous ones in the nature of the observed objects, but also in the quality of the data, with a low signal-to-noise ratio and a low res... View full abstract»

• ### Sharing Visual Secrets in Single Image Random Dot Stereograms

Publication Year: 2014, Page(s):4336 - 4347
Cited by:  Papers (2)
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Visual cryptography schemes (VCSs) generate random and meaningless shares to share and protect secret images. Conventional VCSs suffer from a transmission risk problem because the noise-like shares will raise the suspicion of attackers and the attackers might intercept the transmission. Previous research has involved in hiding shared content in halftone shares to reduce these risks, but this metho... View full abstract»

• ### A Study of Multiplicative Watermark Detection in the Contourlet Domain Using Alpha-Stable Distributions

Publication Year: 2014, Page(s):4348 - 4360
Cited by:  Papers (29)
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In the past decade, several schemes for digital image watermarking have been proposed to protect the copyright of an image document or to provide proof of ownership in some identifiable fashion. This paper proposes a novel multiplicative watermarking scheme in the contourlet domain. The effectiveness of a watermark detector depends highly on the modeling of the transform-domain coefficients. In vi... View full abstract»

• ### Practical Signal-Dependent Noise Parameter Estimation From a Single Noisy Image

Publication Year: 2014, Page(s):4361 - 4371
Cited by:  Papers (8)
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The additive white Gaussian noise is widely assumed in many image processing algorithms. However, in the real world, the noise from actual cameras is better modeled as signal-dependent noise (SDN). In this paper, we focus on the SDN model and propose an algorithm to automatically estimate its parameters from a single noisy image. The proposed algorithm identifies the noise level function of signal... View full abstract»

• ### Selectively Detail-Enhanced Fusion of Differently Exposed Images With Moving Objects

Publication Year: 2014, Page(s):4372 - 4382
Cited by:  Papers (20)
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In this paper, we introduce an exposure fusion scheme for differently exposed images with moving objects. The proposed scheme comprises a ghost removal algorithm in a low dynamic range domain and a selectively detail-enhanced exposure fusion algorithm. The proposed ghost removal algorithm includes a bidirectional normalization-based method for the detection of nonconsistent pixels and a two-round ... View full abstract»

• ### Simulation of Fractional Brownian Surfaces via Spectral Synthesis on Manifolds

Publication Year: 2014, Page(s):4383 - 4388
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Using the spectral decomposition of the Laplace-Beltrami operator, we simulate fractal surfaces as random series of eigenfunctions. This approach allows us to generate random fields over smooth manifolds of arbitrary dimension, generalizing previous work with fractional Brownian motion with multidimensional parameter. We give examples of surfaces with and without boundary and discuss implementatio... View full abstract»

• ### Salient Region Detection by Fusing Bottom-Up and Top-Down Features Extracted From a Single Image

Publication Year: 2014, Page(s):4389 - 4398
Cited by:  Papers (14)
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Recently, some global contrast-based salient region detection models have been proposed based on only the low-level feature of color. It is necessary to consider both color and orientation features to overcome their limitations, and thus improve the performance of salient region detection for images with low-contrast in color and high-contrast in orientation. In addition, the existing fusion metho... View full abstract»

• ### Advanced Screen Content Coding Using Color Table and Index Map

Publication Year: 2014, Page(s):4399 - 4412
Cited by:  Papers (26)
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This paper presents an advanced screen content coding solution using color table and index map (cTIM) method. This cTIM scheme is implemented in the range extensions of high-efficiency video coding (HEVC-RExt) as an additional tool of intracoding to complement conventional spatial angular prediction to better exploit the screen content redundancy. For each coding unit, a number of major colors wil... View full abstract»

• ### Maximum Margin Projection Subspace Learning for Visual Data Analysis

Publication Year: 2014, Page(s):4413 - 4425
Cited by:  Papers (13)
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Visual pattern recognition from images often involves dimensionality reduction as a key step to discover a lower dimensional image data representation and obtain a more manageable problem. Contrary to what is commonly practiced today in various recognition applications where dimensionality reduction and classification are independently treated, we propose a novel dimensionality reduction method ap... View full abstract»

• ### A New Hardware-Efficient Algorithm and Reconfigurable Architecture for Image Contrast Enhancement

Publication Year: 2014, Page(s):4426 - 4437
Cited by:  Papers (9)
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Contrast enhancement is crucial when generating high quality images for image processing applications, such as digital image or video photography, liquid crystal display processing, and medical image analysis. In order to achieve real-time performance for high-definition video applications, it is necessary to design efficient contrast enhancement hardware architecture to meet the needs of real-tim... View full abstract»

• ### Compressive Sensing of Sparse Tensors

Publication Year: 2014, Page(s):4438 - 4447
Cited by:  Papers (19)
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Compressive sensing (CS) has triggered an enormous research activity since its first appearance. CS exploits the signal's sparsity or compressibility in a particular domain and integrates data compression and acquisition, thus allowing exact reconstruction through relatively few nonadaptive linear measurements. While conventional CS theory relies on data representation in the form of vectors, many... 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