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001 978-1-4471-2218-0
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007 cr nn 008mamaa
008 110826s2011 xxk| s |||| 0|eng d
020 _a9781447122180
_9978-1-4471-2218-0
024 7 _a10.1007/978-1-4471-2218-0
_2doi
050 4 _aTA1637-1638
050 4 _aTA1637-1638
072 7 _aUYT
_2bicssc
072 7 _aUYQV
_2bicssc
072 7 _aCOM012000
_2bisacsh
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.6
_223
082 0 4 _a006.37
_223
100 1 _aShukla, K.K.
_eauthor.
245 1 0 _aLossy Image Compression
_h[electronic resource] :
_bDomain Decomposition-Based Algorithms /
_cby K.K. Shukla, M.V. Prasad.
264 1 _aLondon :
_bSpringer London,
_c2011.
300 _aXII, 89p. 54 illus., 4 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computer Science,
_x2191-5768
505 0 _aIntroduction -- Tree Triangular Coding Image Compression Algorithms -- Image Compression Using Quality Measures -- Parallel Image Compression Algorithms -- Conclusions and Future Directions.
520 _aGood quality digital images have high storage and bandwidth requirements. In modern times, with increasing user expectation for image quality, efficient compression is necessary to keep memory and transmission time within reasonable limits. 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. This book will be of interest to graduate students, researchers and practicing engineers looking for new image compression techniques that provide good perceived quality in digital images with higher compression ratios than is possible with conventional algorithms.
650 0 _aComputer science.
650 0 _aComputer vision.
650 1 4 _aComputer Science.
650 2 4 _aImage Processing and Computer Vision.
700 1 _aPrasad, M.V.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447122173
830 0 _aSpringerBriefs in Computer Science,
_x2191-5768
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-2218-0
912 _aZDB-2-SCS
999 _c106179
_d106179