Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/28114
Title: Image adaptive multistage vector Quantization scheme for different Multiscale and multidirectional Image representations
Researcher: Esakkirajan S
Guide(s): Navaneethan P
Keywords: Digital image and image sequences
Generalized Lloyd Algorithm
Vector quantization
Upload Date: 18-Nov-2014
University: Anna University
Completed Date: 01/03/2010
Abstract: Digital image and image sequences in uncompressed formats newlinerequire excessive storage capacity and huge transmission bandwidth newlineTherefore compression of digital image and image sequence is necessary for newlineefficient storage and transmission Image compression is possible due to newlineredundancy and irrelevancy Redundancy is a characteristic which is related to newlinepredictability smoothness etc in the image data All natural images exhibit newlinesome form of internal structures which can be explained in terms of statistical newlinedependencies between pixels This dependency is utilized by signal newlinedecomposition The irrelevancy relies on the fact that the human eye cannot newlineperceive certain image degradations due to the visual perception mechanisms newlineThis is utilized by the quantization scheme Thus the role of the signal newlinedecomposition is to decorrelate the signal and make the subsequent newlinequantization process easier Once the decomposed signal samples are newlinequantized an appropriate symbol coding strategy is used to represent the newlinequantized symbols by bits Image compression can be achieved either by newlinemeans of spatial domain techniques or by means of frequency domain newlinetechniques Vector quantization VQ is a quantization technique applied to newlinean ordered set of symbols The superiority of VQ lies in block coding gain newlineflexibility in partitioning the vector space and the ability to exploit intravector newlinecorrelations When used for image compression codebooks are newlinedesigned from training data using some variant of the Generalized Lloyd newlineAlgorithm GLA newline newline
Pagination: xxiii, 199p.
URI: http://hdl.handle.net/10603/28114
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf20.47 kBAdobe PDFView/Open
03_abstract.pdf28.44 kBAdobe PDFView/Open
04_acknowledgement.pdf20.38 kBAdobe PDFView/Open
05_content.pdf55.17 kBAdobe PDFView/Open
06_chapter1.pdf85.58 kBAdobe PDFView/Open
07_chapter2.pdf112.67 kBAdobe PDFView/Open
08_chapter3.pdf1.59 MBAdobe PDFView/Open
09_chapter4.pdf836.72 kBAdobe PDFView/Open
10_chapter5.pdf1.04 MBAdobe PDFView/Open
11_chapter6.pdf1.53 MBAdobe PDFView/Open
12_chapter7.pdf650.25 kBAdobe PDFView/Open
13_chapter8.pdf28.5 kBAdobe PDFView/Open
14_appendix.pdf793.63 kBAdobe PDFView/Open
15_reference.pdf44.33 kBAdobe PDFView/Open
16_publication.pdf24.86 kBAdobe PDFView/Open
17_vitae.pdf18.67 kBAdobe PDFView/Open


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