Authors:
- Introduces new image compression algorithms and their implementation
- Provides a detailed discussion of fuzzy geometry measures and their application in image compression algorithms
- Describes parallel implementation of image compression algorithms on a cluster in Parallel Virtual Machine environment
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (5 chapters)
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Front Matter
About this book
Image compression is concerned with minimization of the number of information carrying units used to represent an image. Lossy compression techniques incur some loss of information which is usually imperceptible. In return for accepting this distortion, we obtain much higher compression ratios than is possible with lossless compression. Salient features of this book include: four new image compression algorithms and implementation of these algorithms; detailed discussion of fuzzy geometry measures and their application in image compression algorithms; new domain decomposition based algorithms using image quality measures and study of various quality measures for gray scale image compression; compression algorithms for different parallel architectures and evaluation of time complexity for encoding on all architectures; parallel implementation of image compression algorithms on a cluster in Parallel Virtual Machine (PVM) environment.
Reviews
From the reviews:
“The book is devoted to lossy image compression domain decomposition-based algorithms. In the book five such algorithms, based on different triangulation methods, are presented and their performance on sequential and parallel computers is evaluated. … It is presented in an accessible fashion with many illustrations and algorithms. It is suitable for researchers interested in modern methods of lossy image compression on both sequential and parallel architectures and for all who are interested in recent research in domain based lossy image compression.” (Agnieszka Lisowska, Zentralblatt MATH, Vol. 1235, 2012)Authors and Affiliations
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Banaras Hindu University, Indian Institute of Technology, Varanasi, India
K.K. Shukla
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IRBT, Hyderabad, India
M.V. Prasad
Bibliographic Information
Book Title: Lossy Image Compression
Book Subtitle: Domain Decomposition-Based Algorithms
Authors: K.K. Shukla, M.V. Prasad
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-1-4471-2218-0
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag London Ltd., part of Springer Nature 2011
Softcover ISBN: 978-1-4471-2217-3Published: 28 August 2011
eBook ISBN: 978-1-4471-2218-0Published: 28 August 2011
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XII, 89
Number of Illustrations: 50 b/w illustrations, 4 illustrations in colour