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Motion compensated frame interpolation using adaptive adjacency pixel information

Motion compensated frame interpolation using adaptive adjace...

引用

International Conference on computer Graphics, Imaging and Visualization

作者： Oh, Hyeongchul Lee, Joohyun Min, Changki Jeong, Jechang Image Communication and Signal Processing Laboratory Department of Electrical and Computer Engineering Hanyang University Seoul Korea Republic of

ISBN: (纸本)9780769541662

We propose an adaptive motion compensated frame interpolation scheme which is capable of developing a frame rate from a lower number into a higher number and a decoded video quality at the decoder. The proposed algorithm utilizes the preliminary frames of the forward and backward directions using bilateral prediction. In the processing of the preliminary frames, an additional interpolation is performed to fill the occlusion areas. If the calculated values between the reference and current frames are larger than the predetermined threshold, the block is chosen as the occlusion area. In addition, we performed a re-search in order to acquire the best blocks, taking into account the number of available adjacent blocks for the occlusion areas. The experimental results show that the performance of the proposed algorithm has better PSNR and visual quality than those of the conventional methods. © 2010 IEEE.

关键词： Motion compensation

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Frame interpolation method based on adaptive threshold and adjacent pixels

Frame interpolation method based on adaptive threshold and a...

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6th International Conference on Intelligent Information Hiding and Multimedia Signal processing, IIHMSP 2010

ISBN: (纸本)9780769542225

This paper presents a frame interpolation algorithm using the motion information of some object within the estimated blocks. The proposed algorithm uses two initial frames that are generated based on the backward and forward frames using the motion vectors. In this process, the occlusion regions are occurred in two initial frames since the optimal block is only selected by threshold. Furthermore, the regions are irregularly appeared because of that the selected block is interpolated on half position between the estimated motion vectors. Two initial frames are merged to interpolate the occlusion regions. Also, the occlusion areas, which are still existence in the merged frame, are interpolated by using the neighboring pixel information and the available data in the occlusion block. In this paper, the experimental results show that the performance of the proposed algorithm has better PSNR and the visual quality than the conventional algorithms. © 2010 IEEE.

关键词： Motion compensation

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Developments in the radio search for extraterrestrial intelligence

Developments in the radio search for extraterrestrial intell...

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General Assembly and Scientific Symposium, URSI

作者： A. P. V. Siemion D. Werthimer D. Anderson H. Chen J. Cobb J. Cordes T. Filiba G. Foster S. Gowda E. Korpela M. Lebofsky A. Little W. Mallard L. Spitler M. Wagner Department of Astronomy University of California Berkeley Berkeley CA USA University of California Berkeley Berkeley CA US Center for Astronomy Signal Processing and Electronics Research University of California Berkeley Berkeley CA USA Artment of Electrical Engineering University of California Los Angeles Los Angeles CA USA Space Sciences Laboratory University of California Berkeley Berkeley CA USA Department of Astronomy Cornell University Ithaca NY USA Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley CA USA Department of Physics Oxford University Oxford UK Department of Physics University of California Berkeley Berkeley CA USA

We present developments in the search for engineered radio emissions from advanced extraterrestrial life. Our group is currently engaging in both targeted and sky survey searches for extraterrestrial intelligence (SETI), covering a wide variety of narrow-band and pulsed signal types. We are also developing new SETI instrumentation, designed to be flexible, modular and to employ commodity components that lower cost and enhance upgradability. Here we will discuss the status of these observational and engineering projects, as well as prospects for future radio SETI endeavors.

关键词： Educational institutions Telescopes Bandwidth Planets Filter banks Physics

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A computational framework for modeling time-frequency distributions

A computational framework for modeling time-frequency distri...

引用

2010 International Conference on High Performance Computing Systems, HPCS 2010

作者： Aceros, Cesar Villafãne, Marisel Rodriguez, Domingo Electrical and Computer Engineering Department Automated Information Processing Laboratory University of Puerto Rico Mayagüez Puerto Rico

ISBN: (纸本)9781617820663

This work presents a computational modeling framework (CMF) for the algorithm formulation of timefrequency tools used in the signal characterization of wireless channels. The work centers on two important original contributions: the development of the CMF itself, which is based on group harmonic analysis and signal algebra operator theory, and the use of Kronecker products algebra (KPA) as an implementation tool-aid in the algorithm mapping of the timefrequency distributions to multicore computational structures. Performance evaluation results are presented which describe the scalability and extensibility attributes the KPA-based algorithm formulations. Implementation performance speed ups are also presented with respect to a PC-based cluster architecture used as a preliminary computational structure. Finally, the work demonstrates how time-frequency methods are instrumental in mapping one-dimensional impulse response functions of wireless channel links in a MIMO system into two-dimensional energy distributions through the use of time-frequency tools.

关键词： Mapping

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Simulation research of communication networks based on prim algorithm

Simulation research of communication networks based on prim ...

引用

International Forum on Information Technology and Applications

作者： Yang, Chenghui Ren, ChuanJun College of Electrical Engineering Northwest University for Nationalities Lanzhou 730030 China National Laboratory for Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha 410073 China

ISBN: (纸本)9780769541150

In order to improve the efficiency of the communication networks, we used the Kruskal algorithm and the Prim algorithm through algorithm comparison and analysis methods of data structure. A dynamic framework for the communication network installed system is built. Moreover, according to the actual framework of the communication network specific issues, the module chooses the Minimum Cost Spanning Tree Prim algorithm ultimately. The assumptions process and outcomes simulation have proper analysis and certification by C language. Experimental results show that the Minimum Cost Spanning Tree of Prim algorithm on the installed system for communication networks dynamic planning process have the advantage of speed and effectively reduce the waste of resources, which not only can ensure efficiency but also can effectively improve communication networks installed cost. © 2010 IEEE.

关键词： Costs

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Unscented transformation for depth from motion-blur in videos

Unscented transformation for depth from motion-blur in video...

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2010 IEEE computer Society Conference on computer Vision and Pattern Recognition - Workshops, CVPRW 2010

作者： Paramanand, C. Rajagopalan, A.N. Image Processing and Computer Vision Laboratory Department of Electrical Engineering Indian Institute of Technology Madras Chennai 600 036 India

ISBN: (纸本)9781424470297

In images and videos of a 3D scene, blur due to camera shake can be a source of depth information. Our objective is to find the shape of the scene from its motion-blurred observations without having to restore the original image. In this paper, we pose depth recovery as a recursive state estimation problem. We show that the relationship between the observation and the scale factor of the motion-blur kernel associated with the depth at a point is nonlinear and propose the use of the unscented Kalman filter for state estimation. The performance of the proposed method is evaluated on many examples. © 2010 IEEE.

关键词： State estimation

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Bacterial foraging algorithm for neutron radiography image quality improvement

Bacterial foraging algorithm for neutron radiography image q...

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International Multi-Conference on Systems, Signals and Devices

作者： Saadi, S. Kouzou, A. Guessoum, A. Bettayeb, M. Department of Electronics University Ziane Achour of Djelfa Algeria Department of Electronics Signal and Image Processing Laboratory USDB Blida Algeria Department of Electrical and Computer Engineering University of Sharjah United Arab Emirates

ISBN: (纸本)9781424475346

We want to implement a new optimal approach for image restoration problem, which is useful for neutron radiography images enhancement to assist the physician interpreter on his evaluation. Our approach is based on using swarm intelligence optimization algorithms to solve a least squares minimization ill-posed problem, using Bacterial Foraging Optimization (BFO) Algorithm. To get smoothed images in presence of noise, a Laplacian constraint is introduced for regularization purpose. ©2010 IEEE.

关键词： Image reconstruction

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A comparative study to select an image deconvolution method

A comparative study to select an image deconvolution method

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International Multi-Conference on Systems, Signals and Devices

ISBN: (纸本)9781424475346

Image deconvolution is an important subject in image processing. It is an ill-posed inverse problem, so regularization techniques are used to solve this problem by adding constraints to the objective function. Various popular algorithms have been developed to solve such problem. This paper studies various approaches to the nonlinear degraded images restoration problem which are useful in many images enhancement applications. Swarm intelligence is applied for total variation (TV) minimization, instead of the standard Tikhonov regularization method which is often used. In this work, we attempt to reconstruct or recover corrupted images that have been degraded during acquisition;using some a priori knowledge of the degradation phenomenon. The truncated singular value decomposition (TSVD) method is also considered for image deconvolution in this paper. A comparison between these methods made on examples is included. ©2010 IEEE.

关键词： Image enhancement

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A vector SIFT operator for interest point detection in hyperspectral imagery

A vector SIFT operator for interest point detection in hyper...

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Workshop on Hyperspectral Image and Signal processing

作者： Dorado-Muñoz, Leidy P. Velez-Reyes, Miguel Mukherjee, Amit Roysam, Badrinath Laboratory for Applied Remote Sensing and Image Processing University of Puerto Rico-Mayaguez PR United States Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute NY United States

ISBN: (纸本)9781424489077

An algorithm for automated extraction of interest points (IP) in hyperspectral images is presented. IP are features of the image that capture information from its neighbors and are distinctive and stable under translation and rotation. IP operators for gray level images were proposed more than a decade ago and have since been studied extensively. IP are helpful in data reduction to reduce the computational burden of various algorithms by replacing an exhaustive search over the entire image domain by a probe into a concise set of highly informative points. The vector SIFT approach extends Lowe's IP operator that uses local extrema of Difference of Gaussian at multiple scales to detect interest point in gray level images by direct conversion of scalar operations such as scale-space generation, and extreme point detection into operations that take the vector nature of the image into consideration. Vector anisotropic diffusion is used for scale-space generation which enhances edges and improves IP detection. Experiments with hyperspectral images of different spatial resolutions and evaluation of IP found based on image registration is presented. ©2010 IEEE.

关键词： Vectors

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Spectral clustering approach with sparsifying technique for functional connectivity detection in the resting brain

Spectral clustering approach with sparsifying technique for ...

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2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010

作者： Ramezani, Mahdi Heidari, Amin Fatemizadeh, Emad Soltanian-Zadeh, Hamid Biomedical Signal and Image Processing Laboratory Sharif University of Technology Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI 48202 United States Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran

ISBN: (纸本)9781424466238

The aim of this study is to assess the functional connectivity from resting state functional magnetic resonance imaging (fMRI) data. Spectral clustering algorithm was applied to the realistic and real fMRI data acquired from a resting healthy subject to find functionally connected brain regions. In order to make computation of the spectral decompositions of the entire brain volume feasible, the similarity matrix has been sparsified with the t-nearestneighbor approach. Realistic data were created to investigate the performance of the proposed algorithm and comparing it to the recently proposed spectral clustering algorithm with the Nystrom approximation and also with some well-known algorithms such as the Cross Correlation Analysis (CCA) and the spatial Independent Component Analysis (sICA). To enhance the performance of the methods, a variety of data pre and post processing steps, including data normalization, outlier removal, dimensionality reduction by using wavelet coefficients, estimation of number of clusters and optimal number of independent components (ICs). Results demonstrate the applicability of the proposed algorithm for functional connectivity analysis.

关键词： Brain

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