# IEEE Transactions on Image Processing

## Filter Results

Displaying Results 1 - 25 of 27

Publication Year: 2009, Page(s):C1 - C4
| PDF (129 KB)
• ### IEEE Transactions on Image Processing publication information

Publication Year: 2009, Page(s): C2
| PDF (39 KB)

Publication Year: 2009, Page(s): 2617
| PDF (25 KB) | HTML
• ### Octahedral Transforms for 3-D Image Processing

Publication Year: 2009, Page(s):2618 - 2628
| | PDF (2609 KB) | HTML

The octahedral group is one of the finite subgroups of the rotation group in 3-D Euclidean space and a symmetry group of the cubic grid. Compression and filtering of 3-D volumes are given as application examples of its representation theory. We give an overview over the finite subgroups of the 3-D rotation group and their classification. We summarize properties of the octahedral group and basic re... View full abstract»

• ### Computation of Image Spatial Entropy Using Quadrilateral Markov Random Field

Publication Year: 2009, Page(s):2629 - 2639
Cited by:  Papers (18)  |  Patents (1)
| | PDF (1236 KB) | HTML

Shannon entropy is a powerful tool in image analysis, but its reliable computation from image data faces an inherent dimensionality problem that calls for a low-dimensional and closed form model for the pixel value distributions. The most promising such models are Markovian, however, the conventional Markov random field is hampered by noncausality and its causal versions are also not free of diffi... View full abstract»

• ### Diffusion Tensors for Processing Sheared and Rotated Rectangles

Publication Year: 2009, Page(s):2640 - 2648
| | PDF (1585 KB) | HTML

Image restoration and simplification methods that respect important features such as edges play a fundamental role in digital image processing. However, known edge-preserving methods like common nonlinear diffusion methods tend to round vertices for large diffusion times. In this paper, we adapt the diffusion tensor for anisotropic diffusion to avoid this effects in images containing rotated and s... View full abstract»

• ### Principal Neighborhood Dictionaries for Nonlocal Means Image Denoising

Publication Year: 2009, Page(s):2649 - 2660
Cited by:  Papers (98)
| | PDF (3441 KB) | HTML

We present an in-depth analysis of a variation of the nonlocal means (NLM) image denoising algorithm that uses principal component analysis (PCA) to achieve a higher accuracy while reducing computational load. Image neighborhood vectors are first projected onto a lower dimensional subspace using PCA. The dimensionality of this subspace is chosen automatically using parallel analysis. Consequently,... View full abstract»

• ### Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights

Publication Year: 2009, Page(s):2661 - 2672
Cited by:  Papers (227)  |  Patents (2)
| | PDF (6152 KB) | HTML

Image denoising is an important problem in image processing since noise may interfere with visual or automatic interpretation. This paper presents a new approach for image denoising in the case of a known uncorrelated noise model. The proposed filter is an extension of the nonlocal means (NL means) algorithm introduced by Buades, which performs a weighted average of the values of similar pixels. P... View full abstract»

• ### Shearlet-Based Deconvolution

Publication Year: 2009, Page(s):2673 - 2685
Cited by:  Papers (31)
| | PDF (5636 KB) | HTML

In this paper, a new type of deconvolution algorithm is proposed that is based on estimating the image from a shearlet decomposition. Shearlets provide a multidirectional and multiscale decomposition that has been mathematically shown to represent distributed discontinuities such as edges better than traditional wavelets. Constructions such as curvelets and contourlets share similar properties, ye... View full abstract»

• ### Optimized Atom Position and Coefficient Coding for Matching Pursuit-Based Image Compression

Publication Year: 2009, Page(s):2686 - 2694
Cited by:  Papers (5)
| | PDF (1010 KB) | HTML

In this paper, we propose a new encoding algorithm for matching pursuit image coding. We show that coding performance is improved when correlations between atom positions and atom coefficients are both used in encoding. We find the optimum tradeoff between efficient atom position coding and efficient atom coefficient coding and optimize the encoder parameters. Our proposed algorithm outperforms th... View full abstract»

• ### Robust Video Transmission With Distributed Source Coded Auxiliary Channel

Publication Year: 2009, Page(s):2695 - 2705
Cited by:  Papers (1)
| | PDF (649 KB) | HTML

We propose a novel solution to the problem of robust, low-latency video transmission over lossy channels. Predictive video codecs, such as MPEG and H.26x, are very susceptible to prediction mismatch between encoder and decoder or ldquodriftrdquo when there are packet losses. These mismatches lead to a significant degradation in the decoded quality. To address this problem, we propose an auxiliary ... View full abstract»

• ### Robust Color Demosaicking With Adaptation to Varying Spectral Correlations

Publication Year: 2009, Page(s):2706 - 2717
Cited by:  Papers (19)
| | PDF (1927 KB) | HTML

Almost all existing color demosaicking algorithms for digital cameras are designed on the assumption of high correlation between red, green, blue (or some other primary color) bands. They exploit spectral correlations between the primary color bands to interpolate the missing color samples, but in areas of no or weak spectral correlations, these algorithms are prone to large interpolation errors. ... View full abstract»

• ### Continuous Phase-Modulated Halftones

Publication Year: 2009, Page(s):2718 - 2734
Cited by:  Papers (5)
| | PDF (3296 KB) | HTML Media

A generalization of periodic clustered-dot halftones is proposed, wherein the phase of the halftone spots is modulated using a secondary signal. The process is accomplished by using an analytic halftone threshold function that allows halftones to be generated with controlled phase variation in different regions of the printed page. The method can also be used to modulate the screen frequency, albe... View full abstract»

• ### 3-D Brain MRI Tissue Classification on FPGAs

Publication Year: 2009, Page(s):2735 - 2746
Cited by:  Papers (12)
| | PDF (1724 KB) | HTML

Many automatic algorithms have been proposed for analyzing magnetic resonance imaging (MRI) data sets. With the increasingly large data sets being used in brain mapping, there has been a significant rise in the need for accelerating these algorithms. Partial volume estimation (PVE), a brain tissue classification algorithm for MRI, was implemented on a field-programmable gate array (FPGA)-based hig... View full abstract»

• ### Fuzzy Energy-Based Active Contours

Publication Year: 2009, Page(s):2747 - 2755
Cited by:  Papers (43)
| | PDF (1045 KB) | HTML

This paper presents a novel fast model for active contours to detect objects in an image, based on techniques of curve evolution. The proposed model can detect objects whose boundaries are not necessarily defined by gradient, based on the minimization of a fuzzy energy, which can be seen as a particular case of a minimal partition problem. This fuzzy energy is used as the model motivation power ev... View full abstract»

• ### Robust Temporal Activity Templates Using Higher Order Statistics

Publication Year: 2009, Page(s):2756 - 2768
Cited by:  Papers (11)
| | PDF (1283 KB) | HTML

A robust, theoretically founded approach for the extraction of temporal templates corresponding to areas of motion in video, is presented. Higher order statistics (kurtosis) are employed to extract activity areas, i.e., binary masks indicating which pixels in a video are active. The application of the kurtosis on illumination changes modeled as Gaussians and mixture of Gaussians is shown to be sen... View full abstract»

• ### Rapid Image Completion System Using Multiresolution Patch-Based Directional and Nondirectional Approaches

Publication Year: 2009, Page(s):2769 - 2779
Cited by:  Papers (23)
| | PDF (1453 KB) | HTML

This study presents a rapid image completion system comprising a training (or analysis) process and an image completion (or synthesis) process. The proposed system adopts a multiresolution approach, which not only improves the convergence rate of the synthesis process, but also provides the ability to deal with large replaced regions. In the training process, a down-sampling approach is applied to... View full abstract»

• ### Towards Optimal Indexing for Relevance Feedback in Large Image Databases$^+$

Publication Year: 2009, Page(s):2780 - 2789
Cited by:  Papers (10)
| | PDF (811 KB) | HTML

Motivated by the need to efficiently leverage user relevance feedback in content-based retrieval from image databases, we propose a fast, clustering-based indexing technique for exact nearest-neighbor search that adapts to the Mahalanobis distance with a varying weight matrix. We derive a basic property of point-to-hyperplane Mahalanobis distance, which enables efficient recalculation of such dist... View full abstract»

• ### Fast Parallel Approach for 2-D DHT-Based Real-Valued Discrete Gabor Transform

Publication Year: 2009, Page(s):2790 - 2796
Cited by:  Papers (6)
| | PDF (281 KB) | HTML

Two-dimensional fast Gabor transform algorithms are useful for real-time applications due to the high computational complexity of the traditional 2-D complex-valued discrete Gabor transform (CDGT). This paper presents two block time-recursive algorithms for 2-D DHT-based real-valued discrete Gabor transform (RDGT) and its inverse transform and develops a fast parallel approach for the implementati... View full abstract»

• ### A Lattice Boltzmann Method for Image Denoising

Publication Year: 2009, Page(s):2797 - 2802
Cited by:  Papers (18)
| | PDF (1701 KB) | HTML

In this paper, we construct a Lattice Boltzmann scheme to simulate the well known total variation based restoration model, that is, ROF model. The advantages of the Lattice Boltzmann method include the fast computational speed and the easily implemented fully parallel algorithm. A conservative property of the LB method is discussed. The macroscopic PDE associated with the LB algorithm is derived w... View full abstract»

• ### List of reviewers

Publication Year: 2009, Page(s):2803 - 2808
| PDF (39 KB)
• ### IEEE Transactions on Image Processing EDICS

Publication Year: 2009, Page(s): 2809
| PDF (21 KB)
• ### IEEE Transactions on Image Processing Information for authors

Publication Year: 2009, Page(s):2810 - 2811
| PDF (46 KB)
• ### IEEE Transactions on Multimedia special issue on Multimodal Affective Interaction

Publication Year: 2009, Page(s): 2812
| PDF (146 KB)
• ### IEEE ICIP 2010

Publication Year: 2009, Page(s): 2813
| PDF (600 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
Scott Acton
University of Virginia
Charlottesville, VA, USA
E-mail: acton@virginia.edu
Phone: +1 434-982-2003