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Lossy Image Compression

Part of the SpringerBriefs in Computer Science Book Series

DOI: 10.1007/978-1-4471-2218-0

ISBN: 978-1-4471-2217-3

Publisher: Springer London - Springer Journals

Aug 27, 2011

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Introduction

Shukla, K. K.; Prasad, M. V.

Pages: 1 –11

[This chapter brings the subject matter into perspective and presents a historical review of image compression in moderate detail.]
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Tree Triangular Coding Image Compression Algorithms

Shukla, K. K.; Prasad, M. V.

Pages: 13 –41

[This chapter presents four new image compression algorithms namely, Three-triangle decomposition scheme, Six-triangle decomposition scheme, Nine-triangle decomposition scheme and the Delaunay Triangulation Scheme. Performance of these algorithms is evaluated using standard test images. The...
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Image Compression Using Quality Measures

Shukla, K. K.; Prasad, M. V.

Pages: 43 –64

[This chapter discusses domain decomposition algorithms using quality measures like average difference, entropy, mean squared error and a fuzzy geometry measure called fuzzy compactness. All the partitioning methods discussed in this chapter execute in O(nlogn) time for encoding and θ(n) time for...
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Parallel Image Compression Algorithms

Shukla, K. K.; Prasad, M. V.

Pages: 65 –86

[This Chapter presents parallel version of domain decomposition algorithms on different architectures like Concurrent Read Exclusive Write (CREW) Parallel Random Access Machine (PRAM), Hypercube, 2D Mesh, and Sparse Mesh. Time complexities of these algorithms are also derived. Implementation of...
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Conclusions and Future Directions

Shukla, K. K.; Prasad, M. V.

Pages: 87 –89

[This Chapter gives overall concluding remarks discusses future research directions.]

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