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Image Compression Using Quality Measures

  • K. K. ShuklaEmail author
  • M. V. Prasad
Chapter
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Abstract

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 decoding, where n is the number of pixels in the image.

Keywords

Image quality Average difference Entropy ME Fuzzy sets Fuzzy compactness 

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Copyright information

© Springer-Verlag London Limited  2011

Authors and Affiliations

  1. 1.Department of Computer EngineeringIndian Institute of Technology, Banaras Hindu UniversityVaranasiIndia
  2. 2.Institute for Development and Research in Banking TechnologyHyderabadIndia

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