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Books about "Image compression" (found 313 titles)
The JPEG 2000 Suite provides a comprehensive overview of the baseline JPEG 2000 standard and its extensions. The first part of the book sets out the core coding system, additions to the standard and reference software. The second part discusses the successful deployment of JPEG 2000 in application domains such as video surveillance, digital cinema, digital television, medical imaging, defence imaging, security, geographic imaging and remote sensing, digital culture imaging and 3D graphics. The book also presents implementation strategies accompanied by existing software and hardware solutions.
Describes secure JPEG 2000 (JPSEC), interactivity protocols (JPIP), volumetric image data compression (JP3D) and image compression in wireless environments (JPWL), amongst others.
Uses a structure which allows for easy cross-reference with the components of the standard.
Sets out practical implementation examples and results.
Examines strategies for future image compression techniques, including Advanced Image Coding and JPEG XR.
Includes contributions from international specialists in industry and academia who have worked on the development of the JPEG 2000 standard.
Additional material can be found at www.jpeg.org.
The JPEG 2000 Suite is an excellent introduction to the JPEG 2000 standard and is of great appeal to practising electronics engineers, researchers, and hardware and software developers using and developing image coding techniques. Graduate students taking courses on image compression, digital archiving, and data storage techniques will also find the book useful, as will graphic designers, artists, and decision makers in industries developing digital applications. Buy Now!
This book constitutes the refereed proceedings of the 20th Annual Symposium on Combinatorial Pattern Matching, CPM 2009, held in Lille, France in June 2009.
The 27 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 63 submissions. The papers address all areas related to combinatorial pattern matching and its applications, such as coding and data compression, computational biology, data mining, information retrieval, natural language processing, pattern recognition, string algorithms, string processing in databases, symbolic computing and text searching.
This book constitutes the thoroughly refereed post-conference proceedings of the International Conference on Computer Vision and Graphics, ICCVG 2008, held in Warsaw, Poland, in November 2008.
The 48 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on image processing, image quality assessment, geometrical models of objects and scenes, motion analysis, visual navigation and active vision, image and video coding, virtual reality and multimedia applications, biomedical applications, practical applications of pattern recognition, computer animation, visualization and graphical data presentation.
This volume constitutes the refereed proceedings of the 8th International Workshop on Fuzzy Logic and Applications held in Palermo, Italy in June 2009.
The papers are organized in topical sections on fuzzy set theory, intuitionistic fuzzy sets, fuzzy classification and clustering, fuzzy image processing and analysis, and fuzzy systems.
This book constitutes the refereed proceedings of the 15th International Multimedia Modeling Conference, MMM 2009, held in Sophia-Antipolis, France, in January 2009.
The 26 revised full papers and 20 revised poster papers presented together with 2 invited talks were carefully reviewed and selected from 135 submissions. The papers are organized in topical sections on automated annotation, coding and streaming, video semantics and relevance, audio, recognition, classification and retrieval, as well as query and summarization.
by: Jonathan Robinson publisher: VDM Verlag Dr. M?ller released: 2008-11-27 ISBN: 363910000X Price: $72.89 Buy Now!
Description
Methods exploring the application of support vector machine learning (SVM) to still image compression are detailed in both the spatial and frequency domains. In particular the sparse properties of SVM learning are exploited in the compression algorithms. A classic radial basis function neural network requires that the topology of the network be defined before training. An SVM has the property that it will choose the minimum number of training points to use as centres of the Gaussian kernel functions. It is this property that is exploited as the basis for image compression algorithms presented in this book. Several novel algorithms are developed applying SVM learning to both directly model the colour surface and model transform coefficients after the surface has been transformed into the frequency domain. It is demonstrated that compression is more efficient in frequency space. In the frequency domain, results are superior to that of JPEG. For example, the quality of the industry standard ?Lena? image compressed 63:1 for JPEG is slightly worse quality than the same image compressed 192:1 with the RKi-1 algorithm detailed in this book. Buy Now!
by: R Muthaian, K NeelaKantan, Vidur Sharma, Amit Arora publisher: Science Publications released: 2008-10-21 Price: $9.95 Buy Now!
Description
This digital document is an article from American Journal of Applied Sciences, published by Science Publications on November 1, 2008. The length of the article is 1889 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: Key words: Random pixel selection, cubic-spline interpolation, transmission threshold, gray levels, runge phenomenon
Citation Details Title: Image compression and reconstruction using cubic spline interpolation technique.(Report) Author: R Muthaian Publication:American Journal of Applied Sciences (Magazine/Journal) Date: November 1, 2008 Publisher: Science Publications Volume: 5 Issue: 11 Page: 1562(4)
Article Type: Report
Distributed by Gale, a part of Cengage Learning Buy Now!
by: Luiz Velho, Alejandro C. Frery, Jonas Gomes publisher: Springer released: 2008-10-20 ISBN: 1848001924 Price: $71.96 Buy Now!
Description
Image processing is concerned with the analysis and manipulation of images by computer. Providing a thorough treatment of image processing, with an emphasis on those aspects most used in computer graphics and vision, this fully revised second edition concentrates on describing and analyzing the underlying concepts of this subject.
As befits a modern introduction to this topic, a good balance is struck between discussing the underlying mathematics and the main topics of signal processing, data discretization, the theory of color and different color systems, operations in images, dithering and half-toning, warping and morphing, and image processing. Significantly expanded and revised, this easy-to-follow text/reference reflects recent trends in science and technology that exploit image processing in computer graphics and vision applications. Stochastic image models and statistical methods for image processing are covered, as is probability theory for image processing, and a focus on applications in image analysis and computer vision.
Features:
• Includes 5 new chapters and major changes throughout
• Adopts a conceptual approach with emphasis on the mathematical concepts and their applications
•Introduces an abstraction paradigm that relates mathematical models with image processing techniques and implementation methods - used throughout to help understanding of the mathematical theory and its practical use
• Motivates through an elementary presentation, opting for an intuitive description where needed
• Contains adopted innovative formulations whenever necessary for clarity of exposition
• Provides numerous examples and illustrations, as an aid to understanding
• Focuses on the aspects of image processing that have importance in computer graphics and vision applications
• Offers a comprehensive introductory chapter for instructors
This comprehensive text imparts a good conceptual understanding of the topic, as a basis for further study, and is suitable both as a textbook and a professional reference. The current extended edition is a must-have resource and guide for all studying or interested in this field.
Les auteurs d?voilent les ?l?gants concepts math?matiques cach?s derri?re des applications technologiques et les replacent dans un contexte historique. Les sujets trait?s comprennent : la cryptographie ? cl? publique, les codes correcteurs d'erreurs, le syst?me de positionnement global (GPS) et la cartographie, la compression d'images ? l'aide de fractals et ? l'aide du format JPEG, la reproduction de la musique, les robots, l'ordinateur ? l'ADN, l'algorithme PageRank de Google, l'?pargne et l'emprunt, la chirurgie au rayon gamma, les g?n?rateurs de nombres al?atoires. Un des leitmotivs du texte est que la mod?lisation math?matique, la puissance des outils math?matiques et l'abstraction sont toutes cruciales pour l'innovation technologique. Les divers sujets sont pr?sent?s avec clart? et les pr?alables math?matiques relativement ?l?mentaires. Chaque chapitre sugg?re de nombreux exercices, certains ?l?mentaires pour renforcer la compr?hension, d'autres plus avanc?s pour explorer de nouvelles probl?matiques.
Math?matiques et Technologie s'adresse aux ?tudiants en math?matiques de fin de premier cycle universitaire (junior and senior undergraduates du syst?me nord-am?ricain) et aux futurs ma?tres du secondaire. Les pr?alables sont l'alg?bre lin?aire, la g?om?trie euclidienne et, pour quelques chapitres, les probabilit?s ?l?mentaires ou le calcul ? plusieurs variables. De plus, trois qualit?s le rendent accessible ? un grand ?ventail de lecteurs curieux : une mise en contexte historique de certains concepts math?matiques ou de l'?volution d'une technologie enrichit le texte; le calcul diff?rentiel et int?gral n'y joue pas un r?le de premier plan; enfin le livre offre au lecteur le choix de s’initier ? une technologie en lisant les sections ?l?mentaires ou encore d’approfondir les d?tails plus subtils en poursuivant la lecture des sections avanc?es (clairement identifi?es).
