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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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Visual Informatics: Bridging Research and Practice 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Halimah Badioze Zaman Peter Robinson Maria Petrou Patrick Olivier Heiko Schröder Timothy K. Shih

ISBN: (数字)9783642050367

ISBN: (纸本)9783642050350

Visual informatics is a field of interest not just among the information technology and computer science community, but also other related fields such as engineering, me- cal and health informatics and education starting in the early 1990s. Recently, the field is gaining more attention from researchers and industry. It has become a mul- disciplinary and trans-disciplinary field related to research areas such as computer vision, visualization, information visualization, real-time image processing, medical image processing, image information retrieval, virtual reality, augmented reality, - pressive visual mathematics, 3D graphics, multimedia-fusion, visual data mining, visual ontology, as well as services and visual culture. Various efforts has been - vested in different research, but operationally, many of these systems are not pro- nent in the mass market and thus knowledge and research on these phenomena within the mentioned areas need to be shared and disseminated. It is for this reason that the Visual Informatics Research Group from Universiti - bangsaan Malaysia (UKM) decided to spearhead this initiative to bring together experts in this very diversified but important research area so that more concerted efforts can be undertaken not just within the visual informatics community in Malaysia but from other parts of the world, namely, Asia, Europe, Oceania, and USA. This first International Visual Informatics Conference (IVIC 2009) was conducted collaboratively, by the visual informatics research community from the various public and private institutions of higher learning in Malaysia, and hosted by UKM.

关键词： Image processing and computer Vision Pattern Recognition computer Graphics Artificial Intelligence Algorithm Analysis and Problem Complexity User Interfaces and Human computer Interaction

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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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Multiple Classifier Systems 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Carlo Sansone Josef Kittler Fabio Roli

ISBN: (数字)9783642215575

ISBN: (纸本)9783642215568

This book constitutes the refereed proceedings of the 10th International Workshop on Multiple Classifier Systems, MCS 2011, held in Naples, Italy, in June 2011. The 36 revised papers presented together with two invited papers were carefully reviewed and selected from more than 50 submissions. The contributions are organized into sessions dealing with classifier ensembles; trees and forests; one-class classifiers; multiple kernels; classifier selection; sequential combination; ECOC; diversity; clustering; biometrics; and computer security.

关键词： Information Systems Applications (incl. Internet) Pattern Recognition Algorithm Analysis and Problem Complexity Computation by Abstract Devices Database Management Data Mining and Knowledge Discovery

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Multiple Classifier Systems 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Jón Atli Benediktsson Josef Kittler Fabio Roli

ISBN: (数字)9783642023262

ISBN: (纸本)9783642023255

These proceedings are a record of the Multiple Classi?er Systems Workshop, MCS 2009, held at the University of Iceland, Reykjavik, Iceland in June 2009. Being the eighth in a well-established series of meetings providing an inter- tional forum for the discussion of issues in multiple classi?er system design, the workshop achieved its objective of bringing together researchers from diverse communities (neural networks,pattern recognition,machine learning and stat- tics) concerned with this research topic. From more than 70 submissions, the Program Committee selected 54 papers to create an interesting scienti?c program. The special focus of MCS 2009 was on the application of multiple classi?er systems in remote sensing. This part- ular application uses multiple classi?ers for raw data fusion, feature level fusion and decision level fusion. In addition to the excellent regular submission in the technical program, outstanding contributions were made by invited speakers Melba Crawford from Purdue University and Zhi-Hua Zhou of Nanjing Univ- sity. Papers of these talks are included in these workshop proceedings. With the workshop’sapplicationfocusbeingonremotesensing,***’sexpertise in the use of multiple classi?cation systems in this context made the discussions on this topic at MCS 2009 particularly fruitful.

关键词： Pattern Recognition Programming Techniques Image processing and computer Vision Artificial Intelligence Biometrics Computation by Abstract Devices

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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)9783642156960

ISBN: (纸本)9783642156953

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

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