# IEEE Transactions on Image Processing

## Filter Results

Displaying Results 1 - 25 of 51

Publication Year: 2012, Page(s):C1 - C4
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• ### IEEE Transactions on Image Processing publication information

Publication Year: 2012, Page(s): C2
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• ### Adaptive Compressed Sensing Recovery Utilizing the Property of Signal's Autocorrelations

Publication Year: 2012, Page(s):2369 - 2378
Cited by:  Papers (2)
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Perfect compressed sensing (CS) recovery can be achieved when a certain basis space is found to sparsely represent the original signal. However, due to the diversity of the signals, there does not exist a universal predetermined basis space that can sparsely represent all kinds of signals, which results in an unsatisfying performance. To improve the accuracy of recovered signal, this paper propose... View full abstract»

• ### A Unified Feature and Instance Selection Framework Using Optimum Experimental Design

Publication Year: 2012, Page(s):2379 - 2388
Cited by:  Papers (11)
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The goal of feature selection is to identify the most informative features for compact representation, whereas the goal of active learning is to select the most informative instances for prediction. Previous studies separately address these two problems, despite of the fact that selecting features and instances are dual operations over a data matrix. In this paper, we consider the novel problem of... View full abstract»

• ### Efficiency of Semi-Implicit Schemes for Anisotropic Diffusion in the Hypercube

Publication Year: 2012, Page(s):2389 - 2398
Cited by:  Papers (8)
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Semi-implicit schemes have been recently shown to speed up nonlinear diffusion in hyperspectral images while increasing the accuracy of subsequent classifiers in thematic mapping. Here, we show how semi-implicit schemes can be used to implement a truly anisotropic diffusion method for hyperspectral images, and we test the performance of different implementations in terms of computational overhead,... View full abstract»

• ### A Direct Approach Toward Global Minimization for Multiphase Labeling and Segmentation Problems

Publication Year: 2012, Page(s):2399 - 2411
Cited by:  Papers (9)
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This paper intends to extend the minimization algorithm developed by Bae, Yuan and Tai [IJCV, 2011] in several directions. First, we propose a new primal-dual approach for global minimization of the continuous Potts model with applications to the piecewise constant Mumford-Shah model for multiphase image segmentation. Different from the existing methods, we work directly with the binary setting wi... View full abstract»

• ### Scale-Invariant Features and Polar Descriptors in Omnidirectional Imaging

Publication Year: 2012, Page(s):2412 - 2423
Cited by:  Papers (13)
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We propose a method to compute scale-invariant features in omnidirectional images. We present a formulation based on the Riemannian geometry for the definition of differential operators on non-Euclidian manifolds that adapt to the mirror and lens structures in omnidirectional imaging. These operators lead to a scale-space analysis that preserves the geometry of the visual information in omnidirect... View full abstract»

• ### Segmentation of Stochastic Images With a Stochastic Random Walker Method

Publication Year: 2012, Page(s):2424 - 2433
Cited by:  Papers (10)
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We present an extension of the random walker segmentation to images with uncertain gray values. Such gray-value uncertainty may result from noise or other imaging artifacts or more general from measurement errors in the image acquisition process. The purpose is to quantify the influence of the gray-value uncertainty onto the result when using random walker segmentation. In random walker segmentati... View full abstract»

• ### Directional Lapped Orthogonal Transform: Theory and Design

Publication Year: 2012, Page(s):2434 - 2448
Cited by:  Papers (25)
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This paper proposes a directional design method of 2-D nonseparable linear-phase paraunitary filter banks. The proposed method is based on a lattice structure consisting of the 2-D separable DCT block and nonseparable support extension processes. Because of the nonseparability, the bases are allowed to be directional with the critically fixed subsampling, overlapping, orthogonal, symmetric, real-v... View full abstract»

• ### Rigid-Motion-Invariant Classification of 3-D Textures

Publication Year: 2012, Page(s):2449 - 2463
Cited by:  Papers (6)
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This paper studies the problem of 3-D rigid-motion- invariant texture discrimination for discrete 3-D textures that are spatially homogeneous by modeling them as stationary Gaussian random fields. The latter property and our formulation of a 3-D rigid motion of a texture reduce the problem to the study of 3-D rotations of discrete textures. We formally develop the concept of 3-D texture rotations ... View full abstract»

• ### Adaptive Image Registration via Hierarchical Voronoi Subdivision

Publication Year: 2012, Page(s):2464 - 2473
Cited by:  Papers (12)
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Advances in image acquisition systems have made it possible to capture high-resolution images of a scene, recording considerable scene details. With increased resolution comes increased image size and geometric difference between multiview images, complicating image registration. Through Voronoi subdivision, we subdivide large images into small corresponding regions, and by registering small regio... View full abstract»

• ### Design of Almost Symmetric Orthogonal Wavelet Filter Bank Via Direct Optimization

Publication Year: 2012, Page(s):2474 - 2480
Cited by:  Papers (4)
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It is a well-known fact that (compact-support) dyadic wavelets [based on the two channel filter banks (FBs)] cannot be simultaneously orthogonal and symmetric. Although orthogonal wavelets have the energy preservation property, biorthogonal wavelets are preferred in image processing applications because of their symmetric property. In this paper, a novel method is presented for the design of almos... View full abstract»

• ### Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity

Publication Year: 2012, Page(s):2481 - 2499
Cited by:  Papers (165)  |  Patents (1)
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A general framework for solving image inverse problems with piecewise linear estimations is introduced in this paper. The approach is based on Gaussian mixture models, which are estimated via a maximum a posteriori expectation-maximization algorithm. A dual mathematical interpretation of the proposed framework with a structured sparse estimation is described, which shows that the resulting piecewi... View full abstract»

• ### PDE-Based Enhancement of Color Images in RGB Space

Publication Year: 2012, Page(s):2500 - 2512
Cited by:  Papers (11)
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A novel method for color image enhancement is proposed as an extension of the scalar-diffusion-shock-filter coupling model, where noisy and blurred images are denoised and sharpened. The proposed model is based on using the single vectors of the gradient magnitude and the second derivatives as a manner to relate different color components of the image. This model can be viewed as a generalization ... View full abstract»

• ### Image Editing With Spatiograms Transfer

Publication Year: 2012, Page(s):2513 - 2522
Cited by:  Papers (1)
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Histogram equalization is a well-known method for image contrast enhancement. Nevertheless, as histograms do not include any information on the spatial repartition of colors, their application to local image editing problems remains limited. To cope with this lack of spatial information, spatiograms have been recently proposed for tracking purposes. A spatiogram is an image descriptor that combine... View full abstract»

• ### A New Multiplicative Denoising Variational Model Based on $m$th Root Transformation

Publication Year: 2012, Page(s):2523 - 2533
Cited by:  Papers (30)
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In coherent imaging systems, such as the synthetic aperture radar (SAR), the observed images are contaminated by multiplicative noise. Due to the edge-preserving feature of the total variation (TV), variational models with TV regularization have attracted much interest in removing multiplicative noise. However, the fidelity term of the variational model, based on maximum a posteriori estimation, i... View full abstract»

• ### Scene-Oriented Hierarchical Classification of Blurry and Noisy Images

Publication Year: 2012, Page(s):2534 - 2545
Cited by:  Papers (5)
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A system for scene-oriented hierarchical classification of blurry and noisy images is proposed. It attempts to simulate important features of the human visual perception. The underlying approach is based on three strategies: extraction of essential signatures captured from a global context, simulating the global pathway; highlight detection based on local conspicuous features of the reconstructed ... View full abstract»

• ### Groupwise Registration of Multimodal Images by an Efficient Joint Entropy Minimization Scheme

Publication Year: 2012, Page(s):2546 - 2558
Cited by:  Papers (9)
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Groupwise registration is concerned with bringing a group of images into the best spatial alignment. If images in the group are from different modalities, then the intensity correspondences across the images can be modeled by the joint density function (JDF) of the cooccurring image intensities. We propose a so-called treecode registration method for groupwise alignment of multimodal images that u... View full abstract»

• ### Higher Degree Total Variation (HDTV) Regularization for Image Recovery

Publication Year: 2012, Page(s):2559 - 2571
Cited by:  Papers (68)
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We introduce novel image regularization penalties to overcome the practical problems associated with the classical total variation (TV) scheme. Motivated by novel reinterpretations of the classical TV regularizer, we derive two families of functionals involving higher degree partial image derivatives; we term these families as isotropic and anisotropic higher degree TV (HDTV) penalties, respective... View full abstract»

• ### Contrast-Independent Curvilinear Structure Detection in Biomedical Images

Publication Year: 2012, Page(s):2572 - 2581
Cited by:  Papers (16)
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Many biomedical applications require detection of curvilinear structures in images and would benefit from automatic or semiautomatic segmentation to allow high-throughput measurements. Here, we propose a contrast-independent approach to identify curvilinear structures based on oriented phase congruency, i.e., the phase congruency tensor (PCT). We show that the proposed method is largely insensitiv... View full abstract»

• ### Content-Adaptive Motion Estimation Algorithm for Coarse-Grain SVC

Publication Year: 2012, Page(s):2582 - 2591
Cited by:  Papers (15)
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A joint model of scalable video coding (SVC) uses exhaustive mode and motion searches to select the best prediction mode and motion vector for each macroblock (MB) with high coding efficiency at the cost of computational complexity. If major characteristics of a coding MB such as the complexity of the prediction mode and the motion property can be identified and used in adjusting motion estimation... View full abstract»

• ### Interlayer Bit Allocation for Scalable Video Coding

Publication Year: 2012, Page(s):2592 - 2606
Cited by:  Papers (4)
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In this paper, we present a theoretical analysis of the distortion in multilayer coding structures. Specifically, we analyze the prediction structure used to achieve temporal, spatial, and quality scalability of scalable video coding (SVC) and show that the average peak signal-to-noise ratio (PSNR) of SVC is a weighted combination of the bit rates assigned to all the streams. Our analysis utilizes... View full abstract»

• ### H.264/SVC Mode Decision Based on Optimal Stopping Theory

Publication Year: 2012, Page(s):2607 - 2618
Cited by:  Papers (12)
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Fast mode decision algorithms have been widely used in the video encoder implementation to reduce encoding complexity yet without much sacrifice in the coding performance. Optimal stopping theory, which addresses early termination for a generic class of decision problems, is adopted in this paper to achieve fast mode decision for the H.264/Scalable Video Coding standard. A constrained model is dev... View full abstract»

• ### Toward a Direct Measure of Video Quality Perception Using EEG

Publication Year: 2012, Page(s):2619 - 2629
Cited by:  Papers (51)
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An approach to the direct measurement of perception of video quality change using electroencephalography (EEG) is presented. Subjects viewed 8-s video clips while their brain activity was registered using EEG. The video signal was either uncompressed at full length or changed from uncompressed to a lower quality level at a random time point. The distortions were introduced by a hybrid video codec.... View full abstract»

• ### Adaptive Distributed Source Coding

Publication Year: 2012, Page(s):2630 - 2640
Cited by:  Papers (10)
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We consider distributed source coding in the presence of hidden variables that parameterize the statistical dependence among sources. We derive the Slepian-Wolf bound and devise coding algorithms for a block-candidate model of this problem. The encoder sends, in addition to syndrome bits, a portion of the source to the decoder uncoded as doping bits. The decoder uses the sum-product algorithm to s... 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