Lossy Image Compression

Domain Decomposition-Based Algorithms

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2011-08-28



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Description

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.
Pages
89 pages
Collection
SpringerBriefs in Computer Science
Parution
2011-08-28
Marque
Springer
EAN papier
9781447122173
EAN EPUB
9781447122180

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
2519 Ko
Prix
52,74 €