# IEEE Transactions on Image Processing

## Filter Results

Displaying Results 1 - 25 of 88

Publication Year: 2012, Page(s):C1 - 1420
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• ### IEEE Transactions on Image Processing publication information

Publication Year: 2012, Page(s): C2
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• ### Bits From Photons: Oversampled Image Acquisition Using Binary Poisson Statistics

Publication Year: 2012, Page(s):1421 - 1436
Cited by:  Papers (17)  |  Patents (3)
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We study a new image sensor that is reminiscent of a traditional photographic film. Each pixel in the sensor has a binary response, giving only a 1-bit quantized measurement of the local light intensity. To analyze its performance, we formulate the oversampled binary sensing scheme as a parameter estimation problem based on quantized Poisson statistics. We show that, with a single-photon quantizat... View full abstract»

• ### Bayesian Inference of Models and Hyperparameters for Robust Optical-Flow Estimation

Publication Year: 2012, Page(s):1437 - 1451
Cited by:  Papers (8)
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Selecting optimal models and hyperparameters is crucial for accurate optical-flow estimation. This paper provides a solution to the problem in a generic Bayesian framework. The method is based on a conditional model linking the image intensity function, the unknown velocity field, hyperparameters, and the prior and likelihood motion models. Inference is performed on each of the three levels of thi... View full abstract»

• ### Wavelet Modeling Using Finite Mixtures of Generalized Gaussian Distributions: Application to Texture Discrimination and Retrieval

Publication Year: 2012, Page(s):1452 - 1464
Cited by:  Papers (24)
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This paper addresses statistical-based texture modeling using wavelets. We propose a new approach to represent the marginal distribution of the wavelet coefficients using finite mixtures of generalized Gaussian (MoGG) distributions. The MoGG captures a wide range of histogram shapes, which provides better description and discrimination of texture than using single probability density functions (pd... View full abstract»

• ### Rotation-Invariant Image and Video Description With Local Binary Pattern Features

Publication Year: 2012, Page(s):1465 - 1477
Cited by:  Papers (130)
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In this paper, we propose a novel approach to compute rotation-invariant features from histograms of local noninvariant patterns. We apply this approach to both static and dynamic local binary pattern (LBP) descriptors. For static-texture description, we present LBP histogram Fourier (LBP-HF) features, and for dynamic-texture recognition, we present two rotation-invariant descriptors computed from... View full abstract»

• ### Blind Adaptive Sampling of Images

Publication Year: 2012, Page(s):1478 - 1487
Cited by:  Papers (2)
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Adaptive sampling schemes choose different sampling masks for different images. Blind adaptive sampling schemes use the measurements that they obtain (without any additional or direct knowledge about the image) to wisely choose the next sample mask. In this paper, we present and discuss two blind adaptive sampling schemes. The first is a general scheme not restricted to a specific class of samplin... View full abstract»

• ### On the Mathematical Properties of the Structural Similarity Index

Publication Year: 2012, Page(s):1488 - 1499
Cited by:  Papers (59)  |  Patents (1)
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Since its introduction in 2004, the structural similarity (SSIM) index has gained widespread popularity as a tool to assess the quality of images and to evaluate the performance of image processing algorithms and systems. There has been also a growing interest of using SSIM as an objective function in optimization problems in a variety of image processing applications. One major issue that could s... View full abstract»

• ### Image Quality Assessment Based on Gradient Similarity

Publication Year: 2012, Page(s):1500 - 1512
Cited by:  Papers (176)
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In this paper, we propose a new image quality assessment (IQA) scheme, with emphasis on gradient similarity. Gradients convey important visual information and are crucial to scene understanding. Using such information, structural and contrast changes can be effectively captured. Therefore, we use the gradient similarity to measure the change in contrast and structure in images. Apart from the stru... View full abstract»

• ### Removing Label Ambiguity in Learning-Based Visual Saliency Estimation

Publication Year: 2012, Page(s):1513 - 1525
Cited by:  Papers (12)
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Visual saliency is a useful clue to depict visually important image/video contents in many multimedia applications. In visual saliency estimation, a feasible solution is to learn a “feature-saliency” mapping model from the user data obtained by manually labeling activities or eye-tracking devices. However, label ambiguities may also arise due to the inaccurate and inadequate user dat... View full abstract»

• ### Quaternion Structural Similarity: A New Quality Index for Color Images

Publication Year: 2012, Page(s):1526 - 1536
Cited by:  Papers (35)
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One of the most important issues for researchers developing image processing algorithms is image quality. Methodical quality evaluation, by showing images to several human observers, is slow, expensive, and highly subjective. On the other hand, a visual quality matrix (VQM) is a fast, cheap, and objective tool for evaluating image quality. Although most VQMs are good in predicting the quality of a... View full abstract»

• ### Iterative Truncated Arithmetic Mean Filter and Its Properties

Publication Year: 2012, Page(s):1537 - 1547
Cited by:  Papers (18)
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The arithmetic mean and the order statistical median are two fundamental operations in signal and image processing. They have their own merits and limitations in noise attenuation and image structure preservation. This paper proposes an iterative algorithm that truncates the extreme values of samples in the filter window to a dynamic threshold. The resulting nonlinear filter shows some merits of b... View full abstract»

• ### Edge-Preserving Image Regularization Based on Morphological Wavelets and Dyadic Trees

Publication Year: 2012, Page(s):1548 - 1560
Cited by:  Papers (6)
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Despite the tremendous success of wavelet-based image regularization, we still lack a comprehensive understanding of the exact factor that controls edge preservation and a principled method to determine the wavelet decomposition structure for dimensions greater than 1. We address these issues from a machine learning perspective by using tree classifiers to underpin a new image regularizer that mea... View full abstract»

• ### An Edge-Adapting Laplacian Kernel For Nonlinear Diffusion Filters

Publication Year: 2012, Page(s):1561 - 1572
Cited by:  Papers (6)
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In this paper, first, a new Laplacian kernel is developed to integrate into it the anisotropic behavior to control the process of forward diffusion in horizontal and vertical directions. It is shown that, although the new kernel reduces the process of edge distortion, it nonetheless produces artifacts in the processed image. After examining the source of this problem, an analytical scheme is devis... View full abstract»

• ### Locally Oriented Optical Flow Computation

Publication Year: 2012, Page(s):1573 - 1586
Cited by:  Papers (3)
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This paper proposes the use of an adaptive locally oriented coordinate frame when calculating an optical flow field. The coordinate frame is aligned with the least curvature direction in a local window about each pixel. This has advantages to both fitting the flow field to the image data and in imposing smoothness constraints between neighboring pixels. In terms of fitting, robustness is obtained ... View full abstract»

• ### On the Construction of Topology-Preserving Deformation Fields

Publication Year: 2012, Page(s):1587 - 1599
Cited by:  Papers (4)
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In this paper, we investigate a new method to enforce topology preservation on deformation fields. The method is composed of two steps. The first one consists in correcting the gradient vector fields of the deformation at the discrete level, in order to fulfill a set of conditions ensuring topology preservation in the continuous domain after bilinear interpolation. This part, although related to p... View full abstract»

• ### Multiple-Region Segmentation Without Supervision by Adaptive Global Maximum Clustering

Publication Year: 2012, Page(s):1600 - 1612
Cited by:  Papers (11)
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In this paper, we propose a new method of segmenting an image into several sets of pixels with similar intensity values called regions. A multiple-region segmentation problem is unstable because the result considerably depends on the number of regions given a priori. Therefore, one of the most important tasks in solving the problem is automatically finding the number of regions. The method we prop... View full abstract»

• ### Fast Wavelet-Based Image Characterization for Highly Adaptive Image Retrieval

Publication Year: 2012, Page(s):1613 - 1623
Cited by:  Papers (40)
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Adaptive wavelet-based image characterizations have been proposed in previous works for content-based image retrieval (CBIR) applications. In these applications, the same wavelet basis was used to characterize each query image: This wavelet basis was tuned to maximize the retrieval performance in a training data set. We take it one step further in this paper: A different wavelet basis is used to c... View full abstract»

• ### Robust Image Deblurring With an Inaccurate Blur Kernel

Publication Year: 2012, Page(s):1624 - 1634
Cited by:  Papers (18)
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Most existing nonblind image deblurring methods assume that the blur kernel is free of error. However, it is often unavoidable in practice that the input blur kernel is erroneous to some extent. Sometimes, the error could be severe, e.g., for images degraded by nonuniform motion blurring. When an inaccurate blur kernel is used as the input, significant distortions will appear in the image recovere... View full abstract»

• ### Patch-Based Near-Optimal Image Denoising

Publication Year: 2012, Page(s):1635 - 1649
Cited by:  Papers (100)  |  Patents (1)
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In this paper, we propose a denoising method motivated by our previous analysis of the performance bounds for image denoising. Insights from that study are used here to derive a high-performance practical denoising algorithm. We propose a patch-based Wiener filter that exploits patch redundancy for image denoising. Our framework uses both geometrically and photometrically similar patches to estima... View full abstract»

• ### Spatially Adapted Total Variation Model to Remove Multiplicative Noise

Publication Year: 2012, Page(s):1650 - 1662
Cited by:  Papers (18)
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Multiplicative noise removal based on total variation (TV) regularization has been widely researched in image science. In this paper, inspired by the spatially adapted methods for denoising Gaussian noise, we develop a variational model, which combines the TV regularizer with local constraints. It is also related to a TV model with spatially adapted regularization parameters. The automated selecti... View full abstract»

• ### A Universal Denoising Framework With a New Impulse Detector and Nonlocal Means

Publication Year: 2012, Page(s):1663 - 1675
Cited by:  Papers (40)
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Impulse noise detection is a critical issue when removing impulse noise and impulse/Gaussian mixed noise. In this paper, we propose a new detection mechanism for universal noise and a universal noise-filtering framework based on the nonlocal means (NL-means). The operation is carried out in two stages, i.e., detection followed by filtering. For detection, first, we propose the robust outlyingness ... View full abstract»

• ### An Iterative $L_{1}$-Based Image Restoration Algorithm With an Adaptive Parameter Estimation

Publication Year: 2012, Page(s):1676 - 1686
Cited by:  Papers (10)
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Regularization methods for the solution of ill-posed inverse problems can be successfully applied if a right estimation of the regularization parameter is known. In this paper, we consider the L1-regularized image deblurring problem and evaluate its solution using the iterative forward-backward splitting method. Based on this approach, we propose a new adaptive rule for the estim... View full abstract»

• ### Robust Multichannel Blind Deconvolution via Fast Alternating Minimization

Publication Year: 2012, Page(s):1687 - 1700
Cited by:  Papers (49)
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Blind deconvolution, which comprises simultaneous blur and image estimations, is a strongly ill-posed problem. It is by now well known that if multiple images of the same scene are acquired, this multichannel (MC) blind deconvolution problem is better posed and allows blur estimation directly from the degraded images. We improve the MC idea by adding robustness to noise and stability in the case o... View full abstract»

• ### Alternating Minimization Algorithm for Speckle Reduction With a Shifting Technique

Publication Year: 2012, Page(s):1701 - 1714
Cited by:  Papers (19)
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Speckles (multiplicative noise) in synthetic aperture radar (SAR) make it difficult to interpret the observed image. Due to the edge-preserving feature of total variation (TV), variational models with TV regularization have attracted much interest in reducing speckles. Algorithms based on the augmented Lagrangian function have been proposed to efficiently solve speckle-reduction variational models... 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
Scott Acton
University of Virginia
Charlottesville, VA, USA
E-mail: acton@virginia.edu
Phone: +1 434-982-2003