# IEEE Transactions on Image Processing

## Filter Results

Displaying Results 1 - 25 of 27
• ### Table of contents

Publication Year: 2012, Page(s):C1 - 4682
| PDF (839 KB)
• ### IEEE Transactions on Image Processing publication information

Publication Year: 2012, Page(s): C2
| PDF (135 KB)
• ### Optimizing Multiscale SSIM for Compression via MLDS

Publication Year: 2012, Page(s):4682 - 4694
Cited by:  Papers (3)
| | PDF (3087 KB) | HTML

A crucial step in the assessment of an image compression method is the evaluation of the perceived quality of the compressed images. Typically, researchers ask observers to rate perceived image quality directly and use these rating measures, averaged across observers and images, to assess how image quality degrades with increasing compression. These ratings in turn are used to calibrate and compar... View full abstract»

• ### No-Reference Image Quality Assessment in the Spatial Domain

Publication Year: 2012, Page(s):4695 - 4708
Cited by:  Papers (529)  |  Patents (1)
| | PDF (1817 KB) | HTML

We propose a natural scene statistic-based distortion-generic blind/no-reference (NR) image quality assessment (IQA) model that operates in the spatial domain. The new model, dubbed blind/referenceless image spatial quality evaluator (BRISQUE) does not compute distortion-specific features, such as ringing, blur, or blocking, but instead uses scene statistics of locally normalized luminance coeffic... View full abstract»

• ### Non-Lipschitz $ell_{p}$-Regularization and Box Constrained Model for Image Restoration

Publication Year: 2012, Page(s):4709 - 4721
Cited by:  Papers (28)
| | PDF (3061 KB) | HTML

Nonsmooth nonconvex regularization has remarkable advantages for the restoration of piecewise constant images. Constrained optimization can improve the image restoration using a priori information. In this paper, we study regularized nonsmooth nonconvex minimization with box constraints for image restoration. We present a computable positive constant θ for using nonconvex nonsmooth regulari... View full abstract»

• ### Efficient Algorithm for Level Set Method Preserving Distance Function

Publication Year: 2012, Page(s):4722 - 4734
Cited by:  Papers (32)
| | PDF (2595 KB) | HTML

The level set method is a popular technique for tracking moving interfaces in several disciplines, including computer vision and fluid dynamics. However, despite its high flexibility, the original level set method is limited by two important numerical issues. First, the level set method does not implicitly preserve the level set function as a distance function, which is necessary to estimate accur... View full abstract»

• ### Geometric Flow Approach for Region-Based Image Segmentation

Publication Year: 2012, Page(s):4735 - 4745
Cited by:  Papers (4)
| | PDF (1102 KB) | HTML

Geometric flows have been successfully used for surface modeling and designing, largely because they are inherently good at controlling geometric shape evolution. Variational image segmentation approaches, on the other hand, detect objects of interest by deforming certain given shapes. This motivates us to revisit the minimal partition problem for segmentation of images, and propose a new geometri... View full abstract»

• ### Compressive Light Field Sensing

Publication Year: 2012, Page(s):4746 - 4757
Cited by:  Papers (24)  |  Patents (1)
| | PDF (1135 KB) | HTML

We propose a novel design for light field image acquisition based on compressive sensing principles. By placing a randomly coded mask at the aperture of a camera, incoherent measurements of the light passing through different parts of the lens are encoded in the captured images. Each captured image is a random linear combination of different angular views of a scene. The encoded images are then us... View full abstract»

• ### Recursive Algorithms for Bias and Gain Nonuniformity Correction in Infrared Videos

Publication Year: 2012, Page(s):4758 - 4769
Cited by:  Papers (7)
| | PDF (1778 KB) | HTML

Infrared focal-plane array (IRFPA) detectors suffer from fixed-pattern noise (FPN) that degrades image quality, which is also known as spatial nonuniformity. FPN is still a serious problem, despite recent advances in IRFPA technology. This paper proposes new scene-based correction algorithms for continuous compensation of bias and gain nonuniformity in FPA sensors. The proposed schemes use recursi... View full abstract»

• ### Rotated Orthogonal Transform (ROT) for Motion-Compensation Residual Coding

Publication Year: 2012, Page(s):4770 - 4781
Cited by:  Papers (9)
| | PDF (1380 KB) | HTML

Discrete cosine transform (DCT) is the orthogonal transform that is most commonly used in image and video compression. The motion-compensation residual (MC-residual) is also compressed with the DCT in most video codecs. However, the MC-residual has different characteristics from a nature image. In this paper, we develop a new orthogonal transform-rotated orthogonal transform (ROT) that can perform... View full abstract»

• ### Side Information and Noise Learning for Distributed Video Coding Using Optical Flow and Clustering

Publication Year: 2012, Page(s):4782 - 4796
Cited by:  Papers (17)
| | PDF (1017 KB) | HTML

Distributed video coding (DVC) is a coding paradigm that exploits the source statistics at the decoder side to reduce the complexity at the encoder. The coding efficiency of DVC critically depends on the quality of side information generation and accuracy of noise modeling. This paper considers transform domain Wyner-Ziv (TDWZ) coding and proposes using optical flow to improve side information gen... View full abstract»

• ### $ell_{2}$ Restoration of $ell_{infty}$-Decoded Images Via Soft-Decision Estimation

Publication Year: 2012, Page(s):4797 - 4807
Cited by:  Papers (8)
| | PDF (768 KB) | HTML

The l∞-constrained image coding is a technique to achieve substantially lower bit rate than strictly (mathematically) lossless image coding, while still imposing a tight error bound at each pixel. However, this technique becomes inferior in the l2 distortion metric if the bit rate decreases further. In this paper, we propose a new soft decoding approach t... View full abstract»

• ### High Capacity Data Hiding for Error-Diffused Block Truncation Coding

Publication Year: 2012, Page(s):4808 - 4818
Cited by:  Papers (13)
| | PDF (2101 KB) | HTML

Block truncation coding (BTC) is an efficient compression technique with extremely low computational complexity. However, the blocking and false contour effects are two major deficiencies in BTC which cause severe perceptual artifacts. The former scheme, error-diffused BTC (EDBTC), can significantly improve the above issues through the visual low-pass compensation on the bitmap, which thus widens ... View full abstract»

• ### Connectivity-Enforcing Hough Transform for the Robust Extraction of Line Segments

Publication Year: 2012, Page(s):4819 - 4829
Cited by:  Papers (13)
| | PDF (5497 KB) | HTML

Global voting schemes based on the Hough transform (HT) have been widely used to robustly detect lines in images. However, since the votes do not take line connectivity into account, these methods do not deal well with cluttered images. On the other hand, the so-called local methods enforce connectivity but lack robustness to deal with challenging situations that occur in many realistic scenarios,... View full abstract»

• ### On Preserving Original Variables in Bayesian PCA With Application to Image Analysis

Publication Year: 2012, Page(s):4830 - 4843
Cited by:  Papers (18)
| | PDF (1119 KB) | HTML

Principal component analysis (PCA) computes a succinct data representation by converting the data to a few new variables while retaining maximum variation. However, the new variables are difficult to interpret, because each one is combined with all of the original input variables and has obscure semantics. Under the umbrella of Bayesian data analysis, this paper presents a new prior to explicitly ... View full abstract»

• ### Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance

Publication Year: 2012, Page(s):4844 - 4857
Cited by:  Papers (25)
| | PDF (1890 KB) | HTML

In order to track moving objects in long range against occlusion, interruption, and background clutter, this paper proposes a unified approach for global trajectory analysis. Instead of the traditional frame-by-frame tracking, our method recovers target trajectories based on a short sequence of video frames, e.g., 15 frames. We initially calculate a foreground map at each frame obtained from a sta... View full abstract»

• ### Direct Discriminant Locality Preserving Projection With Hammerstein Polynomial Expansion

Publication Year: 2012, Page(s):4858 - 4867
Cited by:  Papers (5)
| | PDF (688 KB) | HTML

Discriminant locality preserving projection (DLPP) is a linear approach that encodes discriminant information into the objective of locality preserving projection and improves its classification ability. To enhance the nonlinear description ability of DLPP, we can optimize the objective function of DLPP in reproducing kernel Hilbert space to form a kernel-based discriminant locality preserving pro... View full abstract»

• ### Sampling Optimization for Printer Characterization by Direct Search

Publication Year: 2012, Page(s):4868 - 4873
Cited by:  Papers (3)
| | PDF (182 KB) | HTML

Printer characterization usually requires many printer inputs and corresponding color measurements of the printed outputs. In this brief, a sampling optimization for printer characterization on the basis of direct search is proposed to maintain high color accuracy with a reduction in the number of characterization samples required. The proposed method is able to match a given level of color accura... View full abstract»

• ### IEEE Transactions on Image Processing EDICS

Publication Year: 2012, Page(s): 4874
| PDF (20 KB)
• ### IEEE Transactions on Image Processing information for authors

Publication Year: 2012, Page(s):4875 - 4876
| PDF (130 KB)
• ### Open Access

Publication Year: 2012, Page(s): 4877
| PDF (1155 KB)
• ### Leading the field since 1884

Publication Year: 2012, Page(s): 4878
| PDF (223 KB)
• ### IEEE Copyright Form

Publication Year: 2012, Page(s):4879 - 4880
| PDF (1564 KB)
• ### 2012 Reviewers List

Publication Year: 2012, Page(s):4881 - 4882
| PDF (59 KB)
• ### 2012 Index IEEE Transactions on Image Processing Vol. 21

Publication Year: 2012, Page(s):4881 - 4926
| PDF (851 KB)

## 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