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# IEEE Transactions on Image Processing

## Filter Results

Displaying Results 1 - 25 of 47
• ### [Front cover]

Publication Year: 2016, Page(s): C1
| PDF (721 KB)
• ### IEEE Transactions on Image Processing publication information

Publication Year: 2016, Page(s): C2
| PDF (84 KB)

Publication Year: 2016, Page(s):2937 - 2938
| PDF (426 KB)

Publication Year: 2016, Page(s):2939 - 2941
| PDF (438 KB)
• ### Blank page

Publication Year: 2016, Page(s): B2942
| PDF (5 KB)
• ### Low-Delay Rate Control for Consistent Quality Using Distortion-Based Lagrange Multiplier

Publication Year: 2016, Page(s):2943 - 2955
Cited by:  Papers (5)
| | PDF (3688 KB) | HTML

Video quality fluctuation plays a significant role in human visual perception, and hence, many rate control approaches have been widely developed to maintain consistent quality for video communication. This paper presents a novel rate control framework based on the Lagrange multiplier in high-efficiency video coding. With the assumption of constant quality control, a new relationship between the d... View full abstract»

• ### Non-Iterative Rigid 2D/3D Point-Set Registration Using Semidefinite Programming

Publication Year: 2016, Page(s):2956 - 2970
Cited by:  Papers (2)
| | PDF (4727 KB) | HTML

We describe a convex programming framework for pose estimation in 2D/3D point-set registration with unknown point correspondences. We give two mixed-integer nonlinear program (MINLP) formulations of the 2D/3D registration problem when there are multiple 2D images, and propose convex relaxations for both the MINLPs to semidefinite programs that can be solved efficiently by interior point methods. O... View full abstract»

• ### Clustered-Dot Screen Design for Digital Multitoning

Publication Year: 2016, Page(s):2971 - 2982
| | PDF (6244 KB) | HTML

Digital multitoning is an extension of halftoning for rendering more than two tones at each pixel for higher image quality. Although a lot of effort has been put in generating dispersed dots previously, the blue-noise feature can hardly be achieved for those printers utilizing the electrophotography (EP) process to avoid the physically unstable isolated dots. To overcome this issue, Chandu et al. ... View full abstract»

• ### Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks

Publication Year: 2016, Page(s):2983 - 2996
Cited by:  Papers (7)
| | PDF (4949 KB) | HTML

Deep convolutional neural networks (CNNs) have shown their great success on image classification. CNNs mainly consist of convolutional and pooling layers, both of which are performed on local image areas without considering the dependence among different image regions. However, such dependence is very important for generating explicit image representation. In contrast, recurrent neural networks (R... View full abstract»

Publication Year: 2016, Page(s):2997 - 3009
Cited by:  Papers (3)
| | PDF (3153 KB) | HTML

The state-of-the-art High Efficiency Video Coding (HEVC) standard adopts a hierarchical coding structure to improve its coding efficiency. This allows for the quantization parameter cascading (QPC) scheme that assigns quantization parameters (Qps) to different hierarchical layers in order to further improve the rate-distortion (RD) performance. However, only static QPC schemes have been suggested ... View full abstract»

• ### Representation Learning of Temporal Dynamics for Skeleton-Based Action Recognition

Publication Year: 2016, Page(s):3010 - 3022
Cited by:  Papers (6)
| | PDF (4688 KB) | HTML

Motion characteristics of human actions can be represented by the position variation of skeleton joints. Traditional approaches generally extract the spatial-temporal representation of the skeleton sequences with well-designed hand-crafted features. In this paper, in order to recognize actions according to the relative motion between the limbs and the trunk, we propose an end-to-end hierarchical R... View full abstract»

• ### $N$ -Ink Printer Characterization With Barycentric Subdivision

Publication Year: 2016, Page(s):3023 - 3031
Cited by:  Papers (2)
| | PDF (1348 KB) | HTML

Printing with a large number of inks, also called N-ink printing, is a challenging task. The challenges comprise spectral modeling of the printer, color separation, halftoning, and limitations of the amount of inks. Juxtaposed halftoning, a perfectly dot-off-dot halftoning method, has proved to be useful to address some of these challenges. However, for juxtaposed halftones, prediction of colors a... View full abstract»

• ### Sparse Coding for Alpha Matting

Publication Year: 2016, Page(s):3032 - 3043
Cited by:  Papers (6)
| | PDF (4961 KB) | HTML Media

Existing color sampling-based alpha matting methods use the compositing equation to estimate alpha at a pixel from the pairs of foreground (F) and background (B) samples. The quality of the matte depends on the selected (F,B) pairs. In this paper, the matting problem is reinterpreted as a sparse coding of pixel features, wherein the sum of the codes gives the estimate of the alpha matte from a set... View full abstract»

• ### Postprocessing of Compressed Images via Sequential Denoising

Publication Year: 2016, Page(s):3044 - 3058
Cited by:  Papers (7)
| | PDF (5487 KB) | HTML

In this paper, we propose a novel postprocessing technique for compression-artifact reduction. Our approach is based on posing this task as an inverse problem, with a regularization that leverages on existing state-of-the-art image denoising algorithms. We rely on the recently proposed Plug-and-Play Prior framework, suggesting the solution of general inverse problems via alternating direction meth... View full abstract»

• ### Joint Data Filtering and Labeling Using Gaussian Processes and Alternating Direction Method of Multipliers

Publication Year: 2016, Page(s):3059 - 3072
| | PDF (2894 KB) | HTML

Sequence labeling aims at assigning a label to every sample of a signal (or pixel of an image) while considering the sequentiality (or vicinity) of the samples. To perform this task, many works in the literature first filter and then label the data. Unfortunately, the filtering, which is performed independently from the labeling, is far from optimal and frequently makes the latter task harder. In ... View full abstract»

• ### CVD2014—A Database for Evaluating No-Reference Video Quality Assessment Algorithms

Publication Year: 2016, Page(s):3073 - 3086
Cited by:  Papers (5)
| | PDF (5806 KB) | HTML

In this paper, we present a new video database: CVD2014-Camera Video Database. In contrast to previous video databases, this database uses real cameras rather than introducing distortions via post-processing, which results in a complex distortion space in regard to the video acquisition process. CVD2014 contains a total of 234 videos that are recorded using 78 different cameras. Moreover, this dat... View full abstract»

• ### The Relative Impact of Ghosting and Noise on the Perceived Quality of MR Images

Publication Year: 2016, Page(s):3087 - 3098
Cited by:  Papers (2)
| | PDF (4008 KB) | HTML

Magnetic resonance (MR) imaging is vulnerable to a variety of artifacts, which potentially degrade the perceived quality of MR images and, consequently, may cause inefficient and/or inaccurate diagnosis. In general, these artifacts can be classified as structured or unstructured depending on the correlation of the artifact with the original content. In addition, the artifact can be white or colore... View full abstract»

• ### Multi-Viewpoint Panorama Construction With Wide-Baseline Images

Publication Year: 2016, Page(s):3099 - 3111
Cited by:  Papers (1)
| | PDF (3869 KB) | HTML Media

We present a novel image stitching approach, which can produce visually plausible panoramic images with input taken from different viewpoints. Unlike previous methods, our approach allows wide baselines between images and non-planar scene structures. Instead of 3D reconstruction, we design a mesh-based framework to optimize alignment and regularity in 2D. By solving a global objective function con... View full abstract»

• ### Layered Coding for Mobile Cloud Gaming Using Scalable Blinn-Phong Lighting

Publication Year: 2016, Page(s):3112 - 3125
Cited by:  Papers (2)
| | PDF (2290 KB) | HTML

In a mobile cloud gaming, high-quality, high-frame-rate game images of immense data size need to be delivered to the clients over wireless networks under stringent delay requirement. For good gaming experience, reducing the transmission bit rate of the game images is necessary. Most existing cloud gaming platforms simply employ standard, off-the-shelf video codecs for game image compression. In th... View full abstract»

• ### Compressive Sensing Image Restoration Using Adaptive Curvelet Thresholding and Nonlocal Sparse Regularization

Publication Year: 2016, Page(s):3126 - 3140
Cited by:  Papers (2)
| | PDF (6371 KB) | HTML

Compressive sensing (CS) is a recently emerging technique and an extensively studied problem in signal and image processing, which suggests a new framework for the simultaneous sampling and compression of sparse or compressible signals at a rate significantly below the Nyquist rate. Maybe, designing an effective regularization term reflecting the image sparse prior information plays a critical rol... View full abstract»

• ### Defocus Blur-Invariant Scale-Space Feature Extractions

Publication Year: 2016, Page(s):3141 - 3156
Cited by:  Papers (2)
| | PDF (4363 KB) | HTML Media

We propose modifications to scale-space feature extraction techniques scale-invariant feature transform (SIFT) and speeded up robust features (SURFs) that make the feature detection and description invariant to defocus blur. Specifically, the scale-space blob detection relies on the second derivative responses of images. Our analysis of circular defocus blur (which sufficiently approximates a real... View full abstract»

• ### Supervised Matrix Factorization Hashing for Cross-Modal Retrieval

Publication Year: 2016, Page(s):3157 - 3166
Cited by:  Papers (10)
| | PDF (1783 KB) | HTML

The target of cross-modal hashing is to embed heterogeneous multimedia data into a common low-dimensional Hamming space, which plays a pivotal part in multimedia retrieval due to the emergence of big multimodal data. Recently, matrix factorization has achieved great success in cross-modal hashing. However, how to effectively use label information and local geometric structure is still a challengin... View full abstract»

• ### Semi-Local Scaling Exponent Estimation With Box-Penalty Constraints and Total-Variation Regularization

Publication Year: 2016, Page(s):3167 - 3181
Cited by:  Papers (5)
| | PDF (5633 KB) | HTML Media

We here establish and exploit the result that 2D isotropic self-similar fields beget quasi-decorrelated wavelet coefficients and that the resulting localised log sample second moment statistic is asymptotically normal. This leads to the development of a semi-local scaling exponent estimation framework with optimally modified weights. Furthermore, recent interest in penalty methods for least square... View full abstract»

• ### DSets-DBSCAN: A Parameter-Free Clustering Algorithm

Publication Year: 2016, Page(s):3182 - 3193
Cited by:  Papers (19)
| | PDF (5403 KB) | HTML

Clustering image pixels is an important image segmentation technique. While a large amount of clustering algorithms have been published and some of them generate impressive clustering results, their performance often depends heavily on user-specified parameters. This may be a problem in the practical tasks of data clustering and image segmentation. In order to remove the dependence of clustering r... View full abstract»

• ### Robust Single Image Super-Resolution via Deep Networks With Sparse Prior

Publication Year: 2016, Page(s):3194 - 3207
Cited by:  Papers (16)
| | PDF (4549 KB) | HTML

Single image super-resolution (SR) is an ill-posed problem, which tries to recover a high-resolution image from its low-resolution observation. To regularize the solution of the problem, previous methods have focused on designing good priors for natural images, such as sparse representation, or directly learning the priors from a large data set with models, such as deep neural networks. In this pa... 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.

Full Aims & Scope

## 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