Lossy Image Compression is popular PDF and ePub book, written by K K Shukla in 2011-08-28, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Lossy Image Compression can be Read Online from any device for your convenience.

Lossy Image Compression Book PDF Summary

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.

Detail Book of Lossy Image Compression PDF

Lossy Image Compression
  • Author : K K Shukla
  • Release : 28 August 2011
  • Publisher : Springer Science & Business Media
  • ISBN : 9781447122180
  • Genre : Computers
  • Total Page : 98 pages
  • Language : English
  • PDF File Size : 20,7 Mb

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