Shukla / Prasad Lossy Image Compression

Domain Decomposition-Based Algorithms
1. Auflage 2011
ISBN: 978-1-4471-2218-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 89 Seiten, eBook

Reihe: SpringerBriefs in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Shukla, K K

Prasad, M.V.

Inhaltsverzeichnis

Introduction.- Tree Triangular Coding Image Compression Algorithms.- Image Compression Using Quality Measures.- Parallel Image Compression Algorithms.- Conclusions and Future Directions.