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IEEE Southeastcon

作者： A.K. Jain Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California USA

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Application of two dimensional spectral estimation in image restoration

Application of two dimensional spectral estimation in image ...

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： A. Jain S. Ranganath Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Davis CA USA

In this paper we consider an application of spectral estimation to adaptive restoration of images degraded by additive white noise. Three adaptive techniques of restoration are compared with a non-adaptive technique. In the non-adaptive technique, the whole image is Wiener filtered by assuming a correlation model for the signal. In the adaptive methods, a) the spectral shape of the signal is kept constant, but the variance is adaptively estimated, b) the power spectrum of each block is adaptively estimated, c) the data is adaptively decorrelated in one dimension and filtered along the other.

关键词： image restoration Wiener filter Karhunen-Loeve transforms Signal restoration Covariance matrix Markov processes Filtering Signal processing Adaptive filters Equations

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A UNIFYING VIEW OF 2ND-ORDER MEASURES OF QUALITY FOR SIGNAL CLASSIFICATION

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IEEE TRANSACTIONS ON COMMUNICATIONS 1980年第6期28卷 807-816页

作者： GARDNER, WA Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Davis CA USA

The major purpose of this paper is to promote interchange between the fields of pattern recognition and communications, in the realm of statistical classification. The general class of second-order measures of quality for statistical classification is defined. The variety of members in this class that have been used by practitioners or proposed by theorists for numerical pattern-classification and signal waveform-classification are compared and contrasted. The several measures that are the most generally applicable are shown to be either equivalent to each other or characterizable in terms of each other, thereby revealing an inherent unity. For example, the ratio of between-class-scatter to within-class-scatter used in pattern recognition and the ratio of signal-energy to noise-energy used in communications are unified through an identification of signal with between-class-scatter and noise with within-class-scatter. Results on equivalences are stated and proved for waveform classification rather than numerical classification in order to complement the extensive literature on the latter, and to emphasize applicability to communications. This entails introduction of a scatter ratio for waveforms. In a companion paper, second-order measures of quality are used as a basis for a general nearestprototype signal-classification methodology; canonical signal features for this methodology are identified, and a general approach for determining appropriate class prototypes is given. These two papers provide an integrated approach to the design of a complete signal classifier, i.e., feature extraction and discriminant-functional design tailored to fit a minimumdistance discrimination rule.

关键词： Pattern classification Signal design Signal processing Pattern recognition Signal to noise ratio Scattering Prototypes Feature extraction Probability Communications Society

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Quality measures in the processing of high-contrast images

Quality measures in the processing of high-contrast images

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Advances in image Transmission II 1980

作者： Algazi, V.R. Ford, G.E. Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California DavisCA95616 United States

The use of image quality measures in the design of processing algorithms and equipment is a difficult task. Realistic and useful images are complex and far from the threshold conditions under which psychophysical measurements and models are obtained. For a class of processing algorithms, the image distortion is actually proportional to the image contrast. For these algorithms it appears possible to determine a worst case image and to establish fairly simple quality criteria. The basic components of such a quality measure are discussed and examples of application given. © 1980 SPIE. All rights reserved.

关键词： image quality

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Two-Stage Adaptive Noise Cancellation for Intermittent-Signal Applications

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IEEE Transactions on Information Theory 1980年第6期26卷 746-750页

作者： Gardner, William A. Agee, Brian G. Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Davis CA 95616 United States ARGOSystems Inc. Sunnyvale CA 94086 884 Hermosa Court United States

A novel two-stage adaptive signal extractor for intermittent signal applications is presented. If the presence and absence of the signal can be detected, the first stage will adapt only while the signal is absent and thereby effect a reduction in noise, whereas the second stage will adapt only when the signal is present and thereby effect a reduction in the distortion caused by the first stage. Bounds on performance are derived, and performance improvement relative to a conventional one-stage adaptive noise canceller is assessed. © 1980, IEEE

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image coding by auto regressive synthesis

Image coding by auto regressive synthesis

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： A. Jain S. Ranganath Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Davis USA

A new method of image coding by autoregressive (AR) synthesis is presented. The physics of image formation suggests that an image may be considered as a power spectrum. Using this formulation a Cosine transform of the sampled image is shown to yield a set of autocorrelations. These are used to find an equivalent AR model whose parameters are encoded for transmission. Compared to conventional Cosine transform coding, this method is shown to give superior resolution and is shown to suppress the "block-effects" present in block-by-block transform coding methods. Distinction between this method and linear predictive coding (LPC) used for speech data compression is made. Extensions and examples for two dimensional images are given.

关键词： image coding Transform coding image sampling Signal synthesis Autocorrelation Linear predictive coding Speech coding Signal processing algorithms Distribution functions Signal processing

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Semantic multimedia 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Yannis Avrithis Yiannis Kompatsiaris Steffen Staab Noel E. O’Connor

ISBN: (数字)9783540493372

ISBN: (纸本)9783540493358

We are delighted to welcome you to the proceedings of the 1st International Conference on Semantic and Digital Media Technologies held in Athens. SAMT 2006 aims to narrowthe large disparity between the low-level descr- tors that can be computed automatically from multimedia content and the ri- ness and subjectivity of semantics in user queries and human interpretations of audiovisual media — The Semantic Gap. SAMT started out as two workshops, EWIMT 2004 and EWIMT 2005, that quickly achieved success in attracting high-quality papers from across Europe and beyond. This year EWIMT turned into the full-?edged conference SAMT, bringing together forums, projects, - stitutions and individuals investigating the integration of knowledge, semantics and low-level multimedia processing, and linking them with industrial engineers who exploit the underlying emerging technology. In total, 68 papers were submitted to the SAMT 2006 conference and each was reviewed by at least two independent reviewers. We are grateful to the membersoftheTechnicalProgramCommitteewhocompletedthesereviewsand allowed us to put together a very strong technical program of 17 papers. The selection process was very competitive with only 25% of papers being selected for oral presentation. The program also included two invited keynote talks from Alan Smeaton and Guus Schreiber, and we are very grateful to them for their insightful presentations.

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Artificial Neural Networks – ICANN 2006 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Stefanos Kollias Andreas Stafylopatis Włodzisław Duch Erkki Oja

ISBN: (数字)9783540388739

ISBN: (纸本)9783540388715

This book includes the proceedings of the International Conference on Artificial Neural Networks (ICANN 2006) held on September 10-14, 2006 in Athens, Greece, with tutorials being presented on September 10, the main conference taking place during September 11-13 and accompanying workshops on perception, cognition and interaction held on September 14, 2006. The ICANN conference is organized annually by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in these fields. In 2006 the ICANN Conference was organized by the Intelligent Systems laboratory and the image, Video and multimedia Systems laboratory of the National Technical University of Athens in Athens, Greece. From 475 papers submitted to the conference, the International Program Committee selected, following a thorough peer-review process, 208 papers for publication and presentation to 21 regular and 10 special sessions. The quality of the papers received was in general very high; as a consequence, it was not possible to accept and include in the conference program many papers of good quality.

关键词： Computation by Abstract Devices Artificial Intelligence Pattern Recognition Information Systems Applications (incl. Internet) Database Management Neurosciences

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Advances in multimedia Information processing - PCM 2010 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Guoping Qiu Kin Man Lam Hitoshi Kiya Xiang-Yang Xue C.-C. Jay Kuo Michael S. Lew

ISBN: (数字)9783642157028

ISBN: (纸本)9783642157011

The 2010 Pacific-Rim Conference on multimedia (PCM 2010) was held in Shanghai at Fudan University, during September 21–24, 2010. Since its inauguration in 2000, PCM has been held in various places around the Pacific Rim, namely Sydney (PCM 2000), Beijing (PCM 2001), Hsinchu (PCM 2002), Singapore (PCM 2003), Tokyo (PCM 2004), Jeju (PCM 2005), Zhejiang (PCM 2006), Hong Kong (PCM 2007), Tainan (PCM 2008), and Bangkok (PCM 2009). PCM is a major annual international conference organized as a forum for the dissemination of state-of-the-art technological advances and research results in the fields of theoretical, experimental, and applied multimedia analysis and processing. PCM 2010 featured a comprehensive technical program which included 75 oral and 56 poster presentations selected from 261 submissions from Australia, Canada, China, France, Germany, Hong Kong, India, Iran, Italy, Japan, Korea, Myanmar, Norway, Singapore, Taiwan, Thailand, the UK, and the USA. Three distinguished researchers, Prof. Zhi-Hua Zhou from Nanjing University, Dr. Yong Rui from Microsoft, and Dr. Tie-Yan Liu from Microsoft Research Asia delivered three keynote talks to the conference. We are very grateful to the many people who helped to make this conference a s- cess. We would like to especially thank Hong Lu for local organization, Qi Zhang for handling the publication of the proceedings, and Cheng Jin for looking after the c- ference website and publicity. We thank Fei Wu for organizing the special session on large-scale multimedia search in the social network settings.

关键词： computer Applications multimedia Information Systems computer Communication Networks Information Systems Applications (incl. Internet) Information Storage and Retrieval User Interfaces and Human computer Interaction

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Advances in multimedia Modeling 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Benoit Huet Alan Smeaton Ketan Mayer-Patel Yannis Avrithis

ISBN: (数字)9783540928928

ISBN: (纸本)9783540928911

th Welcome to the 15 International multimedia Modeling Conference (MMM 2009), held January 7–9, 2009 at EURECOM, Sophia-Antipolis, France. MMM is a leadinginternationalconference for researchersandindustry practitionersto share their new ideas, original research results and practical development ex- riences from all multimedia-related areas. MMM 2009 was held in co-operation with the ACM Special Interest Group on multimedia (ACM SIGMM). It was a great honor to host MMM 2009, one of the most long-standing th multimedia conferences, at EURECOM in Sophia-Antipolis, France. The 15 edition of MMM marked the return of the conference to Europe after numerous years of activity in Asia, and we are proud to have organized such a prestigious conference on the French Riviera. EURECOM is an engineering school in the domain of information and communication technology and a research center in communication systems. Since its creation in 1991 by TELECOM ParisTech and EPFL, it has developed strong international links with both academic and industrial partners. The heart of EURECOM is its internationally renowned research activities which focus on three areas: networking and security, mobile communications, and multimedia.

关键词： multimedia Information Systems image processing and computer Vision computer Graphics Information Storage and Retrieval computer Communication Networks Information Systems Applications (incl. Internet)

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