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# IEEE Transactions on Image Processing

## Filter Results

Displaying Results 1 - 25 of 41

Publication Year: 2006, Page(s):c1 - c4
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• ### IEEE Transactions on Image Processing publication information

Publication Year: 2006, Page(s): c2
| PDF (36 KB)
• ### Error-Resilient Video Communications Over CDMA Networks With a Bandwidth Constraint

Publication Year: 2006, Page(s):3241 - 3252
Cited by:  Papers (14)
| | PDF (493 KB) | HTML

We present an adaptive video transmission scheme for use in a code-division multiple-access network, which incorporates efficient bandwidth allocation among source coding, channel coding, and spreading under a fixed total bandwidth constraint. We derive the statistics of the received signal, as well as a theoretical bound on the packet drop rate at the receiver. Based on these results, a bandwidth... View full abstract»

• ### On the Use of Context-Weighting in Lossless Bilevel Image Compression

Publication Year: 2006, Page(s):3253 - 3260
Cited by:  Papers (5)
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We present a context-weighting algorithm that adaptively weights in real-time three-context models based on their relative accuracy. It can automatically select the better model over different regions of an image, producing better probability estimates than using either one of these models exclusively. Combined with the previously proposed block arithmetic coder for image compression (BACIC), the ... View full abstract»

• ### Reversing Demosaicking and Compression in Color Filter Array Image Processing: Performance Analysis and Modeling

Publication Year: 2006, Page(s):3261 - 3278
Cited by:  Papers (16)  |  Patents (3)
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In the conventional processing chain of single-sensor digital still cameras (DSCs), the images are captured with color filter arrays (CFAs) and the CFA samples are demosaicked into a full color image before compression. To avoid additional data redundancy created by the demosaicking process, an alternative processing chain has been proposed to move the compression process before the demosaicking. ... View full abstract»

• ### Precompression Quality-Control Algorithm for JPEG 2000

Publication Year: 2006, Page(s):3279 - 3293
Cited by:  Papers (10)
| | PDF (987 KB) | HTML

In this paper, a precompression quality-control algorithm is proposed. It can greatly reduce computational power of the embedded block coding (EBC) and memory requirement to buffer bit streams. By using the propagation property and the randomness property of the EBC algorithm, rate and distortion of coding passes is approximately predicted. Thus, the truncation points are chosen before actual codi... View full abstract»

• ### Quadratic Weighted Median Filters for Edge Enhancement of Noisy Images

Publication Year: 2006, Page(s):3294 - 3310
Cited by:  Papers (17)
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Quadratic Volterra filters are effective in image sharpening applications. The linear combination of polynomial terms, however, yields poor performance in noisy environments. Weighted median (WM) filters, in contrast, are well known for their outlier suppression and detail preservation properties. The WM sample selection methodology is naturally extended to the quadratic sample case, yielding a fi... View full abstract»

• ### The Multidimensional Phase Unwrapping Integral and Applications to Microwave Tomographical Image Reconstruction

Publication Year: 2006, Page(s):3311 - 3324
Cited by:  Papers (15)  |  Patents (2)
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Spatial unwrapping of the phase component of time varying electromagnetic fields has important implications in a range of disciplines including synthetic aperture radar (SAR) interferometry, MRI, optical confocal microscopy, and microwave tomography. This paper presents a fundamental framework based on the phase unwrapping integral, especially in the complex case where phase singularities are encl... View full abstract»

• ### An Improved Observation Model for Super-Resolution Under Affine Motion

Publication Year: 2006, Page(s):3325 - 3337
Cited by:  Papers (25)
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Super-resolution (SR) techniques make use of subpixel shifts between frames in an image sequence to yield higher resolution images. We propose an original observation model devoted to the case of nonisometric inter-frame motion as required, for instance, in the context of airborne imaging sensors. First, we describe how the main observation models used in the SR literature deal with motion, and we... View full abstract»

• ### Fast IIR Isotropic 2-D Complex Gabor Filters With Boundary Initialization

Publication Year: 2006, Page(s):3338 - 3348
Cited by:  Papers (8)
| | PDF (2156 KB) | HTML

Gabor filters are widely applied in image analysis and computer vision applications. This paper describes a fast algorithm for isotropic complex Gabor filtering that outperforms existing implementations. The main computational improvement arises from the decomposition of Gabor filtering into more efficient Gaussian filtering and sinusoidal modulations. Appropriate filter initial conditions are der... View full abstract»

• ### Face Verification Across Age Progression

Publication Year: 2006, Page(s):3349 - 3361
Cited by:  Papers (102)
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Human faces undergo considerable amounts of variations with aging. While face recognition systems have been proven to be sensitive to factors such as illumination and pose, their sensitivity to facial aging effects is yet to be studied. How does age progression affect the similarity between a pair of face images of an individual? What is the confidence associated with establishing the identity bet... View full abstract»

• ### Translation-Invariant Contourlet Transform and Its Application to Image Denoising

Publication Year: 2006, Page(s):3362 - 3374
Cited by:  Papers (87)
| | PDF (4716 KB) | HTML

Most subsampled filter banks lack the feature of translation invariance, which is an important characteristic in denoising applications. In this paper, we study and develop new methods to convert a general multichannel, multidimensional filter bank to a corresponding translation-invariant (TI) framework. In particular, we propose a generalized algorithme agrave trous, which is an extension of the ... View full abstract»

• ### Fast Splitting$alpha$-Rooting Method of Image Enhancement: Tensor Representation

Publication Year: 2006, Page(s):3375 - 3384
Cited by:  Papers (18)
| | PDF (1953 KB) | HTML

In the tensor representation, a two-dimensional (2-D) image is represented uniquely by a set of one-dimensional (1-D) signals, so-called splitting-signals, that carry the spectral information of the image at frequency-points of specific sets that cover the whole domain of frequencies. The image enhancement is thus reduced to processing splitting-signals and such process requires a modification of ... View full abstract»

• ### Multiresolution MAP Despeckling of SAR Images Based on Locally Adaptive Generalized Gaussian pdf Modeling

Publication Year: 2006, Page(s):3385 - 3399
Cited by:  Papers (63)
| | PDF (7786 KB) | HTML

In this paper, a new despeckling method based on undecimated wavelet decomposition and maximum a posteriori (MAP) estimation is proposed. Such a method relies on the assumption that the probability density function (pdf) of each wavelet coefficient is generalized Gaussian (GG). The major novelty of the proposed approach is that the parameters of the GG pdf are taken to be space-varying within each... View full abstract»

• ### Ground Target Recognition Using Rectangle Estimation

Publication Year: 2006, Page(s):3400 - 3408
Cited by:  Papers (14)
| | PDF (1176 KB) | HTML

We propose a ground target recognition method based on 3-D laser radar data. The method handles general 3-D scattered data. It is based on the fact that man-made objects of complex shape can be decomposed to a set of rectangles. The ground target recognition method consists of four steps; 3-D size and orientation estimation, target segmentation into parts of approximately rectangular shape, identi... View full abstract»

• ### The Bayesian Operating Point of the Canny Edge Detector

Publication Year: 2006, Page(s):3409 - 3416
Cited by:  Papers (16)
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We have investigated the operating point of the Canny edge detector which minimizes the Bayes risk of misclassification. By considering each of the sequential stages which constitute the Canny algorithm, we conclude that the linear filtering stage of Canny, without postprocessing, performs very poorly by any standard in pattern recognition and achieves error rates which are almost indistinguishabl... View full abstract»

• ### Recognition of Dynamic Video Contents With Global Probabilistic Models of Visual Motion

Publication Year: 2006, Page(s):3417 - 3430
Cited by:  Papers (21)
| | PDF (3534 KB) | HTML

The exploitation of video data requires methods able to extract high-level information from the images. Video summarization, video retrieval, or video surveillance are examples of applications. In this paper, we tackle the challenging problem of recognizing dynamic video contents from low-level motion features. We adopt a statistical approach involving modeling, (supervised) learning, and classifi... View full abstract»

• ### Unsupervised Variational Image Segmentation/Classification Using a Weibull Observation Model

Publication Year: 2006, Page(s):3431 - 3439
Cited by:  Papers (33)
| | PDF (3099 KB) | HTML

Studies have shown that the Weibull distribution can model accurately a wide variety of images. Its parameters index a family of distributions which includes the exponential and approximations of the Gaussian and the Raleigh models widely used in image segmentation. This study investigates the Weibull distribution in unsupervised image segmentation and classification by a variational method. The d... View full abstract»

• ### A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms

Publication Year: 2006, Page(s):3440 - 3451
Cited by:  Papers (828)  |  Patents (10)
| | PDF (1234 KB) | HTML

Measurement of visual quality is of fundamental importance for numerous image and video processing applications, where the goal of quality assessment (QA) algorithms is to automatically assess the quality of images or videos in agreement with human quality judgments. Over the years, many researchers have taken different approaches to the problem and have contributed significant research in this ar... View full abstract»

• ### Perceptual Image Hashing Via Feature Points: Performance Evaluation and Tradeoffs

Publication Year: 2006, Page(s):3452 - 3465
Cited by:  Papers (125)  |  Patents (7)
| | PDF (4361 KB) | HTML

We propose an image hashing paradigm using visually significant feature points. The feature points should be largely invariant under perceptually insignificant distortions. To satisfy this, we propose an iterative feature detector to extract significant geometry preserving feature points. We apply probabilistic quantization on the derived features to introduce randomness, which, in turn, reduces v... View full abstract»

• ### Structure From Planar Motion

Publication Year: 2006, Page(s):3466 - 3477
Cited by:  Papers (6)
| | PDF (2648 KB) | HTML

Planar motion is arguably the most dominant type of motion in surveillance videos. The constraints on motion lead to a simplified factorization method for structure from planar motion when using a stationary perspective camera. Compared with methods for general motion , our approach has two major advantages: a measurement matrix that fully exploits the motion constraints is formed such that the ne... View full abstract»

• ### On the Orientability of Shapes

Publication Year: 2006, Page(s):3478 - 3487
Cited by:  Papers (35)
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The orientation of a shape is a useful quantity, and has been shown to affect performance of object recognition in the human visual system. Shape orientation has also been used in computer vision to provide a properly oriented frame of reference, which can aid recognition. However, for certain shapes, the standard moment-based method of orientation estimation fails. We introduce as a new shape fea... View full abstract»

• ### A Wavelet-Based Two-Stage Near-Lossless Coder

Publication Year: 2006, Page(s):3488 - 3500
Cited by:  Papers (23)
| | PDF (1314 KB) | HTML

In this paper, we present a two-stage near-lossless compression scheme. It belongs to the class of "lossy plus residual coding" and consists of a wavelet-based lossy layer followed by arithmetic coding of the quantized residual to guarantee a given Linfin error bound in the pixel domain. We focus on the selection of the optimum bit rate for the lossy layer to achieve the minimum total b... View full abstract»

• ### An Optimal Nonorthogonal Separation of the Anisotropic Gaussian Convolution Filter

Publication Year: 2006, Page(s):3501 - 3513
Cited by:  Papers (18)
| | PDF (1465 KB) | HTML

We give an analytical and geometrical treatment of what it means to separate a Gaussian kernel along arbitrary axes in Ropfn, and we present a separation scheme that allows us to efficiently implement anisotropic Gaussian convolution filters for data of arbitrary dimensionality. Based on our previous analysis we show that this scheme is optimal with regard to the number of memory access... View full abstract»

• ### Embedding Motion in Model-Based Stochastic Tracking

Publication Year: 2006, Page(s):3514 - 3530
Cited by:  Papers (27)  |  Patents (1)
| | PDF (2094 KB) | HTML

Particle filtering is now established as one of the most popular methods for visual tracking. Within this framework, there are two important considerations. The first one refers to the generic assumption that the observations are temporally independent given the sequence of object states. The second consideration, often made in the literature, uses the transition prior as the proposal distribution... 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

Gaurav Sharma
University of Rochester
Rochester, NY, USA
E-mail: gaurav.sharma@rochester.edu
Phone: +1 585-275-7313