Download or read book Image Compression Using Crisp and Fuzzy Vector Quantization Algorithms written by Domenic Ippolito and published by . This book was released on 1996 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Vector Quantization in Image Processing written by Su Min and published by . This book was released on 1996 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Intelligence in Image Processing written by Amitava Chatterjee and published by Springer Science & Business Media. This book was released on 2012-08-10 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence based techniques have firmly established themselves as viable, alternate, mathematical tools for more than a decade. They have been extensively employed in many systems and application domains, among these signal processing, automatic control, industrial and consumer electronics, robotics, finance, manufacturing systems, electric power systems, and power electronics. Image processing is also an extremely potent area which has attracted the attention of many researchers who are interested in the development of new computational intelligence-based techniques and their suitable applications, in both research problems and in real-world problems. Part I of the book discusses several image preprocessing algorithms; Part II broadly covers image compression algorithms; Part III demonstrates how computational intelligence-based techniques can be effectively utilized for image analysis purposes; and Part IV shows how pattern recognition, classification and clustering-based techniques can be developed for the purpose of image inferencing. The book offers a unified view of the modern computational intelligence techniques required to solve real-world problems and it is suitable as a reference for engineers, researchers and graduate students.
Download or read book Image Compression Using Vector Quantization written by Sharon Malka Perlmutter and published by . This book was released on 1995 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Vector Quantization and Signal Compression written by Allen Gersho and published by Springer Science & Business Media. This book was released on 1991-11-30 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt: Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to "eliminate duplication and redundancy. " This quote both states a goal of data compression and illustrates its common need: the removal of duplication (or redundancy) can provide a more efficient representation of data and the quoted phrase is itself a candidate for such surgery. Not only can the number of words in the quote be reduced without losing informa tion, but the statement would actually be enhanced by such compression since it will no longer exemplify the wrong that the policy is supposed to correct. Here compression can streamline the phrase and minimize the em barassment while improving the English style. Compression in general is intended to provide efficient representations of data while preserving the essential information contained in the data. This book is devoted to the theory and practice of signal compression, i. e. , data compression applied to signals such as speech, audio, images, and video signals (excluding other data types such as financial data or general purpose computer data). The emphasis is on the conversion of analog waveforms into efficient digital representations and on the compression of digital information into the fewest possible bits. Both operations should yield the highest possible reconstruction fidelity subject to constraints on the bit rate and implementation complexity.
Download or read book Fuzzy Models and Algorithms for Pattern Recognition and Image Processing written by James C. Bezdek and published by Springer Science & Business Media. This book was released on 2006-09-28 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.
Download or read book Development of Image Compression Algorithms written by Vipula Singh and published by LAP Lambert Academic Publishing. This book was released on 2011-10 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications, which need to store large database and/or transmit digital images requiring high bit-rates over channels with limited bandwidth, have demanded improved image compression techniques.. Encoding an image into fewer bits is useful in reducing the storage requirements in image archival systems, or in decreasing the bandwidth for image transmission. In standard image compression methods (e.g. JPEG), as the bits per pixel reduces, the picture quality deteriorates because of the use of bigger quantization step size. In this work, image compression techniques are designed keeping in mind the human visual system. Practical and effective image compression system based on Neuro-Wavelet models have been proposed which combines the advantages of neural network and wavelet transform with vector quantization. Fuzzy c-means and Fuzzy vector quantization algorithms have also been used to make use of uncertainty for the benefit of the clustering process. We have compared the performances of different clustering algorithms applied to the proposed encoder. Experimental results on real images of varying complexity have established the robustness and effectiveness of the method
Download or read book An Algorithm for Image Compression Using Differential Vector Quantization written by James Edwin Fowler and published by . This book was released on 1992 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Unsupervised Learning Algorithms written by M. Emre Celebi and published by Springer. This book was released on 2016-04-29 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest include anomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field.
Download or read book Image and Signal Processing written by Abderrahim Elmoataz and published by Springer Science & Business Media. This book was released on 2008-06-24 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Image and Signal Processing, ICISP 2008, held in Cherbourg-Octeville, France, in July 2008. The 48 revised full papers and 22 revised poster papers presented were carefully reviewed and selected from 193 submissions. The papers are organized in topical sections on image filtering, image segmentation, computer vision, feature extraction, pattern recognition, graph-based representations, motion detection and estimation, new interfaces, document processing, and signal processing.
Download or read book Soft Computing for Image Processing written by Sankar K. Pal and published by Physica. This book was released on 2013-03-19 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Any task that involves decision-making can benefit from soft computing techniques which allow premature decisions to be deferred. The processing and analysis of images is no exception to this rule. In the classical image analysis paradigm, the first step is nearly always some sort of segmentation process in which the image is divided into (hopefully, meaningful) parts. It was pointed out nearly 30 years ago by Prewitt (1] that the decisions involved in image segmentation could be postponed by regarding the image parts as fuzzy, rather than crisp, subsets of the image. It was also realized very early that many basic properties of and operations on image subsets could be extended to fuzzy subsets; for example, the classic paper on fuzzy sets by Zadeh [2] discussed the "set algebra" of fuzzy sets (using sup for union and inf for intersection), and extended the defmition of convexity to fuzzy sets. These and similar ideas allowed many of the methods of image analysis to be generalized to fuzzy image parts. For are cent review on geometric description of fuzzy sets see, e. g. , [3]. Fuzzy methods are also valuable in image processing and coding, where learning processes can be important in choosing the parameters of filters, quantizers, etc.
Download or read book Vector Quantization for Image Compression written by Jianhua Lin and published by . This book was released on 1992 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book On Effective Compression Using Vector Quantization and Pyramid Processing written by Zhongxiu Wen and published by . This book was released on 1989 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vector quantization (VQ) is an effective spatial domain image compression technique which maps discrete k-dimensional vectors into a digital sequence suitable for communication or storage. This research investigates methods for improving the performance of vector quantization based on pyramid tools. An iterative optimization clustering VQ procedure based upon an initial codebook randomly sampled from the training set is presented. The main idea of the proposed algorithm is that a set of new cluster means is generated by using an iterative clustering algorithm, with the previous codewords as seeds. The training set is drawn from the present training images. The resulting cluster means are then used in a new codebook which is continually refined so that each iteration reduces the distortion involved in coding a given training set. The goal of such system is to reduce the bit rate so as to minimize communication channel capacity or digital storage memory requirement. This VQ can provide a reduction from 8 bits per pixel (bpp) to 2 bpp or 0.5 bpp with negligible degradation image quality. Vector quantization usually requires extensive computations. In this thesis both the pyramid processing and the fast algorithms are examined for vector quantization. After a brief introduction of the topic in Chapter 1, the history and fundamentals of vector quantization are presented in Chapter 2. Chapter 3 describes the concepts and techniques of pyramid image processing. A new VQ algorithm which is employed in the thesis is examined in Chapter 4. In Chapter 5 the importance of post-processing is emphasized with illustrative results. Even with post-processing the vector quantization method considered indeed provides a significantly better image compression over existing image compression technique.
Download or read book The Development of Algorithms for Variable Rate Vector Quantization in Image Compression written by George Beshara Bendak and published by . This book was released on 1996 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fuzzy Algorithms With Applications To Image Processing And Pattern Recognition written by Zheru Chi and published by World Scientific. This book was released on 1996-10-04 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents:Introduction:Basic Concepts of Fuzzy SetsFuzzy RelationsFuzzy Models for Image Processing and Pattern RecognitionMembership Functions:IntroductionHeuristic SelectionsClustering ApproachesTuning of Membership FunctionsConcluding RemarksOptimal Image Thresholding:IntroductionThreshold Selection Based on Statistical Decision TheoryNon-fuzzy Thresholding AlgorithmsFuzzy Thresholding AlgorithmUnified Formulation of Three Thresholding AlgorithmsMultilevel ThresholdingApplicationsConcluding RemarksFuzzy Clustering:IntroductionC-Means AlgorithmFuzzy C-Means AlgorithmComparison between Hard and Fuzzy Clustering AlgorithmsCluster ValidityApplicationsConcluding RemarksLine Pattern Matching:IntroductionSimilarity Measures between Line SegmentsBasic Matching AlgorithmDealing with Noisy PatternsDealing with Rotated PatternsApplicationsConcluding RemarksFuzzy Rule-based Systems:IntroductionLearning from ExamplesDecision Tree ApproachFuzzy Aggregation Network ApproachMinimization of Fuzzy RulesDefuzzification and OptimizationApplicationsConcluding RemarksCombined Classifiers:IntroductionVoting SchemesMaximum Posteriori ProbabilityMultilayer Perceptron ApproachFuzzy Measures and Fuzzy IntegralsApplicationsConcluding Remarks Readership: Engineers and computer scientists. keywords:
Download or read book Application of Image Data Compression Using Vector Quantization written by Walid Philip Karam and published by . This book was released on 1990 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Algorithm for Image Data Compression Based on Vector Quantization written by Sanjay Mishra and published by . This book was released on 1991 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
