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A comparative study to select an image deconvolution method

A comparative study to select an image deconvolution method

引用

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

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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Bacterial foraging algorithm for neutron radiography image quality improvement

Bacterial foraging algorithm for neutron radiography image q...

引用

International Multi-Conference on Systems, signals and Devices

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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3-D video coding using depth transition data

3-D video coding using depth transition data

引用

28th Picture Coding Symposium, PCS 2010

作者： Kim, Woo-Shik Ortega, Antonio Lee, Jaejoon Wey, Ho Cheon Signal and Image Processing Institute Ming Hsieh Dept. of Electrical Engineering University of Southern California Los Angeles CA 90089 United States Multimedia Lab. Samsung Advanced Institute of Technology Samsung Electronics Co. Ltd. Korea Republic of

ISBN: (纸本)9781424471348

The objective of this work is to develop a new 3-D video coding system which can provide better coding efficiency with improved subjective quality as compared to existing 3-D video systems. We have analyzed the distortions that occur in rendered views generated using depth image based rendering (DIBR) and classified them in order to evaluate their impact on subjective quality. As a result, we found that depth map coding distortion leads to "erosion artifacts" at object boundaries, which lead to significant degradation in perceptual quality. To solve this problem, we propose a solution in which depth transition data is encoded and transmitted to the decoder. Depth transition data for a given pixel indicates the camera position for which this pixel's depth will change. A main reason to consider transmitting explicitly this information is that it can be used to improve view interpolation at many different intermediate camera positions. Simulation results show that the subjective quality can be significantly improved by reducing the effect of erosion artifacts, using our proposed depth transition data. Maximum PSNR gains of about 0.5 dB can also be observed. © 2010 IEEE.

关键词： image coding

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A comparative study to select an image deconvolution method

A comparative study to select an image deconvolution method

引用

IEEE SSD International Multi-Conference on Systems, signals and Devices

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

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.

关键词： Noise measurement

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Bacterial Foraging Algorithm for neutron radiography image quality improvement

Bacterial Foraging Algorithm for neutron radiography image q...

引用

IEEE SSD International Multi-Conference on Systems, signals and Devices

作者： S. Saadi A. Kouzou A. Guessoum M. Bettayeb University Ziane Achour of Djelfa Algeria Department of Electronics Signal and image Processing Laboratory USDB Burgas Algeria Department of Electrical and Computer Engineering University of Sharjah UAE

关键词： Wiener filter image restoration Radiography Strontium

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3-D video coding using depth transition data

3-D video coding using depth transition data

引用

Picture Coding Symposium, PCS

作者： Woo-Shik Kim Antonio Ortega Jaejoon Lee HoCheon Wey Samsung Electronics Company Limited South Korea Signal and Image Processing Institute Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA USA Multimedia Lab Samsung Advanced Institute of Technology Samsung Electronics Company Limited South Korea

The objective of this work is to develop a new 3-D video coding system which can provide better coding efficiency with improved subjective quality as compared to existing 3-D video systems. We have analyzed the distortions that occur in rendered views generated using depth image based rendering (DIBR) and classified them in order to evaluate their impact on subjective quality. As a result, we found that depth map coding distortion leads to “erosion artifacts” at object boundaries, which lead to significant degradation in perceptual quality. To solve this problem, we propose a solution in which depth transition data is encoded and transmitted to the decoder. Depth transition data for a given pixel indicates the camera position for which this pixel's depth will change. A main reason to consider transmitting explicitly this information is that it can be used to improve view interpolation at many different intermediate camera positions. Simulation results show that the subjective quality can be significantly improved by reducing the effect of erosion artifacts, using our proposed depth transition data. Maximum PSNR gains of about 0.5 dB can also be observed.

关键词： Pixel Cameras Encoding Interpolation Decoding Rendering (computer graphics) image coding

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Ergodic Capacity of Block-Fading Gaussian Broadcast and Multi-access Channels for Single-User-Selection and Constant-Power

Ergodic Capacity of Block-Fading Gaussian Broadcast and Mult...

引用

European signal processing conference

作者： Mohammad Shaqfeh Norbert Goertz John Thompson Department of Electrical Engineering Texas A&M University in Qatar P.O.Box 23874 Education City Doha Qatar Institute of Communications and Radio-Frequency Engineering Vienna University of Technology Gusshausstrasse 25/389 A-1040 Wien Austria Institute for Digital Communications Joint Research Institute for Signal & Image Processing School of Engineering and Electronics The University of Edinburgh Mayfield Rd. Edinburgh EH9 3JL Scotland UK

ISBN: (纸本)9781617388767

We consider the ergodic capacity region of block-fading Gaussian multiuser channels with channel-state information at both the transmitters and the receivers. We assume a single constraint on the total long-term average power used for both broadcast and multiaccess channels. In addition to the optimal solution known from the literature, we provide analytic expressions - some of which are novel - to characterize the boundary surface of the capacity region under auxiliary constraints which include single-user-selection per block, constant total transmit-power per block and the combination of both. We also provide optimal resource allocation schemes to achieve the capacity limits for each case under consideration. Moreover, we provide numerical examples to compare the cases. As an illustrative example, we analyze the two-user case, although the results carry over to the M-user case.

关键词： multiple access capacity region Channel state information constant power Gauss optimal solution Resource utilization multiuser channels Receivers

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引用

1st Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2008

作者： Akgül, C.B. Sankur, B. Yemez, Y. Schmitt, F. Electrical and Electronics Engineering Dept. Boǧaziçi University Istanbul Turkey Signal and Image Processing Dept. Télécom ParisTech Paris France Computer Engineering Dept. Koç University Istanbul Turkey

ISBN: (纸本)9783905674057

In this work, we introduce a score fusion scheme to improve the 3D object retrieval performance. The state of the art in 3D object retrieval shows that no single descriptor is capable of providing fine grain discrimination required by prospective 3D search engines. The proposed fusion algorithm linearly combines similarity information originating from multiple shape descriptors and learns their optimal combination of weights by minimizing the empirical ranking risk criterion. The algorithm is based on the statistical ranking framework [CLV07], for which consistency and fast rate of convergence of empirical ranking risk minimizers have been established. We report the results of ontology-driven and relevance feedback searches on a large 3D object database, the Princeton Shape Benchmark. Experiments show that, under query formulations with user intervention, the proposed score fusion scheme boosts the performance of the 3D retrieval machine significantly. © The Eurographics Association 2008.

关键词： Object-oriented databases

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Performance modelling and evaluation of an adaptation management system

Performance modelling and evaluation of an adaptation manage...

引用

International Symposium on Performance Evaluation of Computer & Telecommunication Systems SPECTS

作者： Abdelhak Attou Jie Ding D.I. Laurenson K. Moessner Centre for Communication Systems Research (CCSR) Department of Electrical and Electronics Engineering Faculty of Engineering and Physical Sciences University of Surrey Guildford UK Institute for Digital Communications Joint Research Institute for Signal & Image Processing School of Engineering and Electronics University of Edinburgh Edinburgh UK

ISBN: (纸本)9781424434497

Communication systems are becoming more complex due to the advancements and heterogeneity in device and network technologies. The diversity of content and services offered to users is increasing and services have become an important source of revenue for network operators. However, the success of service providers depends on the adaptability of their services to user environments and preferences. Hence content and service adaptation is of paramount importance. In an adaptation manager is proposed. This paper presents the performance model of the adaptation management system developed in the high level formalism PEPA, and its evaluation. The model is derived from the adaptation manager design and system interactions. The results from the evaluation are presented and analysed to determine the factors that affect system performance and how the latter can be improved.

关键词： Context-aware services Algebra Content management Performance analysis Stochastic processes Computer science Informatics Digital communication signal processing image processing

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A shared-relay cooperative diversity scheme based on joint channel and network coding

A shared-relay cooperative diversity scheme based on joint c...

引用

International Symposium on Information Theory and Its Applications, ISITA

作者： Xiaoyan Xu Mark F. Flanagan Christian Koller Norbert Goertz Institute for Digital Communications Joint Research Institute for Signal & Image Processing University of Edinburgh UK Department of Electronics Computer Science and Systems (DEIS) University of Bologna Italy Department of Electrical Engineering University of Notre Dame Notre Dame IN USA

ISBN: (纸本)9781424420681

In cooperative communications, the technique of algebraic code superposition (or network coding) may efficiently utilize limited communications resources to produce spatial diversity. In this paper, we propose a simple cooperative diversity scheme for the scenario of two sources sharing a single relay. No cooperative coding is required at the sources, and only very simple interleave-and-superpose operations are performed at the relay. We propose a novel computationally efficient message passing algorithm at the destination's decoder which utilizes spatial diversity gathered over multiple transmission frames. We show that despite the simplicity of the proposed scheme, diversity gains are efficiently leveraged by the simple combination of channel coding at the sources and network coding at the relay.

关键词： Network coding Decoding Relays Parity check codes Electronic mail Fading Message passing Diversity methods Information theory Digital communication

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