Lossy Image Compression: Domain Decomposition-Based Algorithms

Lossy Image Compression: Domain Decomposition-Based Algorithms

by K K Shukla, M.V. Prasad


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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.

Product Details

ISBN-13: 9781447122173
Publisher: Springer London
Publication date: 08/31/2011
Series: SpringerBriefs in Computer Science
Edition description: 2011
Pages: 89
Product dimensions: 6.10(w) x 9.25(h) x 0.01(d)

Table of Contents


Tree Triangular Coding Image Compression Algorithms

Image Compression Using Quality Measures

Parallel Image Compression Algorithms

Conclusions and Future Directions

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