# IEEE Transactions on Image Processing

## Filter Results

Displaying Results 1 - 25 of 38

Publication Year: 2011, Page(s):C1 - C4
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• ### IEEE Transactions on Image Processing publication information

Publication Year: 2011, Page(s): C2
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• ### New Challenges for Image Processing Research

Publication Year: 2011, Page(s): 3321
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• ### Computational Cameras: Convergence of Optics and Processing

Publication Year: 2011, Page(s):3322 - 3340
Cited by:  Papers (38)  |  Patents (1)
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A computational camera uses a combination of optics and processing to produce images that cannot be captured with traditional cameras. In the last decade, computational imaging has emerged as a vibrant field of research. A wide variety of computational cameras has been demonstrated to encode more useful visual information in the captured images, as compared with conventional cameras. In this paper... View full abstract»

• ### Assemble New Object Detector With Few Examples

Publication Year: 2011, Page(s):3341 - 3349
Cited by:  Papers (5)
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Learning a satisfactory object detector generally requires sufficient training data to cover the most variations of the object. In this paper, we show that the performance of object detector is severely degraded when training examples are limited. We propose an approach to handle this issue by exploring a set of pretrained auxiliary detectors for other categories. By mining the global and local re... View full abstract»

• ### Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality

Publication Year: 2011, Page(s):3350 - 3364
Cited by:  Papers (383)  |  Patents (2)
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Our approach to blind image quality assessment (IQA) is based on the hypothesis that natural scenes possess certain statistical properties which are altered in the presence of distortion, rendering them un-natural; and that by characterizing this un-naturalness using scene statistics, one can identify the distortion afflicting the image and perform no-reference (NR) IQA. Based on this theory, we p... View full abstract»

• ### A Co-Saliency Model of Image Pairs

Publication Year: 2011, Page(s):3365 - 3375
Cited by:  Papers (110)
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In this paper, we introduce a method to detect co-saliency from an image pair that may have some objects in common. The co-saliency is modeled as a linear combination of the single-image saliency map (SISM) and the multi-image saliency map (MISM). The first term is designed to describe the local attention, which is computed by using three saliency detection techniques available in literature. To c... View full abstract»

• ### Fast $O(1)$ Bilateral Filtering Using Trigonometric Range Kernels

Publication Year: 2011, Page(s):3376 - 3382
Cited by:  Papers (72)
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It is well known that spatial averaging can be realized (in space or frequency domain) using algorithms whose complexity does not scale with the size or shape of the filter. These fast algorithms are generally referred to as constant-time or O(1) algorithms in the image-processing literature. Along with the spatial filter, the edge-preserving bilateral filter involves an additional range kernel. T... View full abstract»

• ### Image Deconvolution With Multi-Stage Convex Relaxation and Its Perceptual Evaluation

Publication Year: 2011, Page(s):3383 - 3392
Cited by:  Papers (9)
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This paper proposes a new image deconvolution method using multi-stage convex relaxation, and presents a metric for perceptual evaluation of deconvolution results. Recent work in image deconvolution addresses the deconvolution problem via minimization with non-convex regularization. Since all regularization terms in the objective function are non-convex, this problem can be well modeled and solved... View full abstract»

• ### High-Quality Reflection Separation Using Polarized Images

Publication Year: 2011, Page(s):3393 - 3405
Cited by:  Papers (10)
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In this paper, we deal with a problem of separating the effect of reflection from images captured behind glass. The input consists of multiple polarized images captured from the same view point but with different polarizer angles. The output is the high quality separation of the reflection layer and the background layer from the images. We formulate this problem as a constrained optimization probl... View full abstract»

• ### Real-Time Affine Global Motion Estimation Using Phase Correlation and its Application for Digital Image Stabilization

Publication Year: 2011, Page(s):3406 - 3418
Cited by:  Papers (27)  |  Patents (2)
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We propose a fast and robust 2D-affine global motion estimation algorithm based on phase-correlation in the Fourier-Mellin domain and robust least square model fitting of sparse motion vector field and its application for digital image stabilization. Rotation-scale-translation (RST) approximation of affine parameters is obtained at the coarsest level of the image pyramid, thus ensuring convergence... View full abstract»

• ### Bayesian Robust Principal Component Analysis

Publication Year: 2011, Page(s):3419 - 3430
Cited by:  Papers (97)
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A hierarchical Bayesian model is considered for decomposing a matrix into low-rank and sparse components, assuming the observed matrix is a superposition of the two. The matrix is assumed noisy, with unknown and possibly non-stationary noise statistics. The Bayesian framework infers an approximate representation for the noise statistics while simultaneously inferring the low-rank and sparse-outlie... View full abstract»

• ### Contextual and Variational Contrast Enhancement

Publication Year: 2011, Page(s):3431 - 3441
Cited by:  Papers (65)
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This paper proposes an algorithm that enhances the contrast of an input image using interpixel contextual information. The algorithm uses a 2-D histogram of the input image constructed using a mutual relationship between each pixel and its neighboring pixels. A smooth 2-D target histogram is obtained by minimizing the sum of Frobenius norms of the differences from the input histogram and the unifo... View full abstract»

• ### Image Multidistortion Estimation

Publication Year: 2011, Page(s):3442 - 3454
Cited by:  Papers (1)
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We present a method for estimating the amount of noise and blur in a distorted image. Our method is based on the multiscale structural similarity (MS-SSIM) framework that, although designed to measure image quality, is used to estimate the amount of blur and noise in a degraded image given a reference image. We show that there exists a bijective mapping between the 2-D noise/blur space and the 3-D... View full abstract»

• ### Image Interpolation Via Regularized Local Linear Regression

Publication Year: 2011, Page(s):3455 - 3469
Cited by:  Papers (49)
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The linear regression model is a very attractive tool to design effective image interpolation schemes. Some regression-based image interpolation algorithms have been proposed in the literature, in which the objective functions are optimized by ordinary least squares (OLS). However, it is shown that interpolation with OLS may have some undesirable properties from a robustness point of view: even sm... View full abstract»

• ### An Efficient Selective Perceptual-Based Super-Resolution Estimator

Publication Year: 2011, Page(s):3470 - 3482
Cited by:  Papers (11)
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In this paper, a selective perceptual-based (SELP) framework is presented to reduce the complexity of popular super-resolution (SR) algorithms while maintaining the desired quality of the enhanced images/video. A perceptual human visual system model is proposed to compute local contrast sensitivity thresholds. The obtained thresholds are used to select which pixels are super-resolved based on the ... View full abstract»

• ### Multivariate Compressive Sensing for Image Reconstruction in the Wavelet Domain: Using Scale Mixture Models

Publication Year: 2011, Page(s):3483 - 3494
Cited by:  Papers (19)
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Most wavelet-based reconstruction methods of compressive sensing (CS) are developed under the independence assumption of the wavelet coefficients. However, the wavelet coefficients of images have significant statistical dependencies. Lots of multivariate prior models for the wavelet coefficients of images have been proposed and successfully applied to the image estimation problems. In this paper, ... View full abstract»

• ### A Uniform Grid Structure to Speed Up Example-Based Photometric Stereo

Publication Year: 2011, Page(s):3495 - 3507
Cited by:  Papers (2)
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In this paper, we describe a data structure and an algorithm to accelerate the table lookup step in example-based multiimage photometric stereo. In that step, one must find a pixel of a reference object, of known shape and color, whose appearance under different illumination fields is similar to that of a given scene pixel. This search reduces to finding the closest match to a given -vector in a t... View full abstract»

• ### Fast Bi-Directional Prediction Selection in H.264/MPEG-4 AVC Temporal Scalable Video Coding

Publication Year: 2011, Page(s):3508 - 3523
Cited by:  Papers (1)
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In this paper, we propose a fast algorithm that efficiently selects the temporal prediction type for the dyadic hierarchical-B prediction structure in the H.264/MPEG-4 temporal scalable video coding (SVC). We make use of the strong correlations in prediction type inheritance to eliminate the superfluous computations for the bi-directional (BI) prediction in the finer partitions, 16 × 8/8 &#... View full abstract»

• ### Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection

Publication Year: 2011, Page(s):3524 - 3533
Cited by:  Papers (158)
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Prediction-error expansion (PEE) is an important technique of reversible watermarking which can embed large payloads into digital images with low distortion. In this paper, the PEE technique is further investigated and an efficient reversible watermarking scheme is proposed, by incorporating in PEE two new strategies, namely, adaptive embedding and pixel selection. Unlike conventional PEE which em... View full abstract»

• ### An Algorithm for Power Line Detection and Warning Based on a Millimeter-Wave Radar Video

Publication Year: 2011, Page(s):3534 - 3543
Cited by:  Papers (8)
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Power-line-strike accident is a major safety threat for low-flying aircrafts such as helicopters, thus an automatic warning system to power lines is highly desirable. In this paper we propose an algorithm for detecting power lines from radar videos from an active millimeter-wave sensor. Hough Transform is employed to detect candidate lines. The major challenge is that the radar videos are very noi... View full abstract»

• ### Fourier-Domain Multichannel Autofocus for Synthetic Aperture Radar

Publication Year: 2011, Page(s):3544 - 3552
Cited by:  Papers (6)
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Synthetic aperture radar (SAR) imaging suffers from image focus degradation in the presence of phase errors in the received signal due to unknown platform motion or signal propagation delays. We present a new autofocus algorithm, termed Fourier-domain multichannel autofocus (FMCA), that is derived under a linear algebraic framework, allowing the SAR image to be focused in a noniterative fashion. M... View full abstract»

• ### On the Inter-Conversion Between Hermite and Laguerre Local Image Expansions

Publication Year: 2011, Page(s):3553 - 3565
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The nice relationship existing among the Hermite-Gauss and the Laguerre-Gauss image expansions, whose basis functions span the same signal space, is investigated. As a result, a novel efficient method for Cartesian to polar coordinate inter-conversion, especially suited for dedicated hardware realization, is proposed. Applications to local image rotation, based on the simple steerability of the La... View full abstract»

• ### Memory-Efficient Architecture for Hysteresis Thresholding and Object Feature Extraction

Publication Year: 2011, Page(s):3566 - 3579
Cited by:  Papers (1)  |  Patents (1)
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Hysteresis thresholding is a method that offers enhanced object detection. Due to its recursive nature, it is time consuming and requires a lot of memory resources. This makes it avoided in streaming processors with limited memory. We propose two versions of a memory-efficient and fast architecture for hysteresis thresholding: a high-accuracy pixel-based architecture and a faster block-based one a... View full abstract»

• ### RASIM: A Novel Rotation and Scale Invariant Matching of Local Image Interest Points

Publication Year: 2011, Page(s):3580 - 3591
Cited by:  Papers (5)
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This paper presents a novel algorithm for matching image interest points. Potential interest points are identified by searching for local peaks in Difference-of-Gaussian (DoG) images. We refine and assign rotation, scale and location for each keypoint by using the SIFT algorithm. Pseudo log-polar sampling grid is then applied to properly scaled image patches around each keypoint, and a weighted ad... 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
Scott Acton
University of Virginia
Charlottesville, VA, USA
E-mail: acton@virginia.edu
Phone: +1 434-982-2003