# IEEE Transactions on Image Processing

## Filter Results

Displaying Results 1 - 25 of 123
• ### [Front cover]

Publication Year: 2015, Page(s): C1
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• ### IEEE Transactions on Image Processing publication information

Publication Year: 2015, Page(s): C2
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Publication Year: 2015, Page(s):4665 - 4668
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Publication Year: 2015, Page(s):4669 - 4672
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• ### Objective Quality Assessment for Color-to-Gray Image Conversion

Publication Year: 2015, Page(s):4673 - 4685
Cited by:  Papers (11)
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Color-to-gray (C2G) image conversion is the process of transforming a color image into a grayscale one. Despite its wide usage in real-world applications, little work has been dedicated to compare the performance of C2G conversion algorithms. Subjective evaluation is reliable but is also inconvenient and time consuming. Here, we make one of the first attempts to develop an objective quality model ... View full abstract»

• ### Robust Visual Tracking via Sparsity-Induced Subspace Learning

Publication Year: 2015, Page(s):4686 - 4700
Cited by:  Papers (9)
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Target representation is a necessary component for a robust tracker. However, during tracking, many complicated factors may make the accumulated errors in the representation significantly large, leading to tracking drift. This paper aims to improve the robustness of target representation to avoid the influence of the accumulated errors, such that the tracker only acquires the information that faci... View full abstract»

• ### Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning

Publication Year: 2015, Page(s):4701 - 4714
Cited by:  Papers (6)
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Heterogeneous transfer learning has recently gained much attention as a new machine learning paradigm in which the knowledge can be transferred from source domains to target domains in different feature spaces. Existing works usually assume that source domains can provide accurate and useful knowledge to be transferred to target domains for learning. In practice, there may be noise appearing in gi... View full abstract»

• ### Spline Driven: High Accuracy Projectors for Tomographic Reconstruction From Few Projections

Publication Year: 2015, Page(s):4715 - 4725
Cited by:  Papers (2)
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Tomographic iterative reconstruction methods need a very thorough modeling of data. This point becomes critical when the number of available projections is limited. At the core of this issue is the projector design, i.e., the numerical model relating the representation of the object of interest to the projections on the detector. Voxel driven and ray driven projection models are widely used for th... View full abstract»

• ### Face Spoofing Detection Through Visual Codebooks of Spectral Temporal Cubes

Publication Year: 2015, Page(s):4726 - 4740
Cited by:  Papers (10)
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Despite important recent advances, the vulnerability of biometric systems to spoofing attacks is still an open problem. Spoof attacks occur when impostor users present synthetic biometric samples of a valid user to the biometric system seeking to deceive it. Considering the case of face biometrics, a spoofing attack consists in presenting a fake sample (e.g., photograph, digital video, or even a 3... View full abstract»

• ### Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities

Publication Year: 2015, Page(s):4741 - 4755
Cited by:  Papers (21)
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Person re-identification aims to match people across non-overlapping camera views, which is an important but challenging task in video surveillance. In order to obtain a robust metric for matching, metric learning has been introduced recently. Most existing works focus on seeking a Mahalanobis distance by employing sparse pairwise constraints, which utilize image pairs with the same person identit... View full abstract»

• ### Adaptive Skin Classification Using Face and Body Detection

Publication Year: 2015, Page(s):4756 - 4765
Cited by:  Papers (3)
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In this paper, we propose a skin classification method exploiting faces and bodies automatically detected in the image, to adaptively initialize individual ad hoc skin classifiers. Each classifier is initialized by a face and body couple or by a single face, if no reliable body is detected. Thus, the proposed method builds an ad hoc skin classifier for each person in the image, resulting in a clas... View full abstract»

• ### Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification

Publication Year: 2015, Page(s):4766 - 4779
Cited by:  Papers (70)
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Extracting informative image features and learning effective approximate hashing functions are two crucial steps in image retrieval. Conventional methods often study these two steps separately, e.g., learning hash functions from a predefined hand-crafted feature space. Meanwhile, the bit lengths of output hashing codes are preset in the most previous methods, neglecting the significance level of d... View full abstract»

• ### Spartans: Single-Sample Periocular-Based Alignment-Robust Recognition Technique Applied to Non-Frontal Scenarios

Publication Year: 2015, Page(s):4780 - 4795
Cited by:  Papers (13)
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In this paper, we investigate a single-sample periocular-based alignment-robust face recognition technique that is pose-tolerant under unconstrained face matching scenarios. Our Spartans framework starts by utilizing one single sample per subject class, and generate new face images under a wide range of 3D rotations using the 3D generic elastic model which is both accurate and computationally econ... View full abstract»

• ### Cubic Convolution Scaler Optimized for Local Property of Image Data

Publication Year: 2015, Page(s):4796 - 4809
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A scaler is one of the most important modules in various video applications, such as ultra-high definition TV and scalable video systems. A variety of scaling techniques have been used to increase the video quality when the resolution of the source image has to be up- and down-scaled. Some conventional schemes exploit the property of local block data. Others consider the edge information of the da... View full abstract»

• ### Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization

Publication Year: 2015, Page(s):4810 - 4819
Cited by:  Papers (32)
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We introduce a robust mixing model to describe hyperspectral data resulting from the mixture of several pure spectral signatures. The new model extends the commonly used linear mixing model by introducing an additional term accounting for possible nonlinear effects, that are treated as sparsely distributed additive outliers. With the standard nonnegativity and sum-to-one constraints inherent to sp... View full abstract»

• ### Local Multi-Grouped Binary Descriptor With Ring-Based Pooling Configuration and Optimization

Publication Year: 2015, Page(s):4820 - 4833
Cited by:  Papers (3)
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Local binary descriptors are attracting increasingly attention due to their great advantages in computational speed, which are able to achieve real-time performance in numerous image/vision applications. Various methods have been proposed to learn data-dependent binary descriptors. However, most existing binary descriptors aim overly at computational simplicity at the expense of significant inform... View full abstract»

• ### Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA

Publication Year: 2015, Page(s):4834 - 4846
Cited by:  Papers (6)
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This paper introduces an L1-norm-based probabilistic principal component analysis model on 2D data (L1-2DPPCA) based on the assumption of the Laplacian noise model. The Laplacian or L1 density function can be expressed as a superposition of an infinite number of Gaussian distributions. Under this expression, a Bayesian inference can be established based on the variational expectation maximization ... View full abstract»

• ### Subjective and Objective Video Quality Assessment of 3D Synthesized Views With Texture/Depth Compression Distortion

Publication Year: 2015, Page(s):4847 - 4861
Cited by:  Papers (7)
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The quality assessment for synthesized video with texture/depth compression distortion is important for the design, optimization, and evaluation of the multi-view video plus depth (MVD)-based 3D video system. In this paper, the subjective and objective studies for synthesized view assessment are both conducted. First, a synthesized video quality database with texture/depth compression distortion i... View full abstract»

• ### Graph Matching Based on Stochastic Perturbation

Publication Year: 2015, Page(s):4862 - 4875
Cited by:  Papers (1)
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This paper presents a novel perspective on characterizing the spectral correspondence between the nodes of weighted graphs for image matching applications. The algorithm is based on the principal feature components obtained by stochastic perturbation of a graph. There are three areas of contributions in this paper. First, a stochastic normalized Laplacian matrix of a weighted graph is obtained by ... View full abstract»

• ### Fast Translation Invariant Multiscale Image Denoising

Publication Year: 2015, Page(s):4876 - 4887
Cited by:  Papers (1)
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Translation invariant (TI) cycle spinning is an effective method for removing artifacts from images. However, for a method using O(n) time, the exact TI cycle spinning by averaging all possible circulant shifts requires O(n2) time where n is the number of pixels, and therefore is not feasible in practice. Existing literature has investigated efficient algorithms to calculate TI version ... View full abstract»

• ### Photometric Stereo for General BRDFs via Reflection Sparsity Modeling

Publication Year: 2015, Page(s):4888 - 4903
Cited by:  Papers (2)
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This paper proposes a pixelwise photometric stereo method for object surfaces with general bidirectional reflectance distribution functions (BRDFs) via appropriate reflection modeling. The modeling is based on three general characteristics of reflection components, i.e., the smooth variation of diffuse reflection, the concentration of specular reflection, and the low-intensity nature of shadow. A ... View full abstract»

• ### Unsupervised Unmixing of Hyperspectral Images Accounting for Endmember Variability

Publication Year: 2015, Page(s):4904 - 4917
Cited by:  Papers (19)
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This paper presents an unsupervised Bayesian algorithm for hyperspectral image unmixing, accounting for endmember variability. The pixels are modeled by a linear combination of endmembers weighted by their corresponding abundances. However, the endmembers are assumed random to consider their variability in the image. An additive noise is also considered in the proposed model, generalizing the norm... View full abstract»

• ### Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering

Publication Year: 2015, Page(s):4918 - 4933
Cited by:  Papers (11)
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Low-rank representation (LRR) has received considerable attention in subspace segmentation due to its effectiveness in exploring low-dimensional subspace structures embedded in data. To preserve the intrinsic geometrical structure of data, a graph regularizer has been introduced into LRR framework for learning the locality and similarity information within data. However, it is often the case that ... View full abstract»

• ### Joint Group Sparse PCA for Compressed Hyperspectral Imaging

Publication Year: 2015, Page(s):4934 - 4942
Cited by:  Papers (5)
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A sparse principal component analysis (PCA) seeks a sparse linear combination of input features (variables), so that the derived features still explain most of the variations in the data. A group sparse PCA introduces structural constraints on the features in seeking such a linear combination. Collectively, the derived principal components may still require measuring all the input features. We pre... View full abstract»

• ### 2D Non-Separable Block-Lifting Structure and Its Application to $M$ -Channel Perfect Reconstruction Filter Banks for Lossy-to-Lossless Image Coding

Publication Year: 2015, Page(s):4943 - 4951
Cited by:  Papers (1)
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We propose a 2D non-separable block-lifting structure (2D-NSBL) that is easily formulated from the 1D separable block-lifting structure (1D-SBL) and 2D non-separable lifting structure (2D-NSL). The 2D-NSBL can be regarded as an extension of the 2D-NSL, because a two-channel 2D-NSBL is completely equivalent to a 2D-NSL. We apply the 2D-NSBL to M-channel (M=2n, n ∈ N) perfect recon... 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