Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/24865
Title: Discrete wavelet transform based adaptive image coding schemes for continuous tone images
Researcher: Nishat, Kanvel
Guide(s): Elwin Chandra moine
Keywords: continuous tone images
Discrete wavelet transform
information and communication engineering
Upload Date: 10-Sep-2014
University: Anna University
Completed Date: 01/10/2011
Abstract: This Thesis addresses the issue of selecting a wavelet transform newlinefor compressing different types of images Various adaptive methods are newlinepresented in this thesis which explore the local information for improved newlineperformance This Thesis aims to propose new algorithms for wavelet based newlineimage compression of continuous tone still images to achieve high PSNR newlineNew algorithms have been proposed by combining discrete wavelet newlinetransform wavelet packet transform adaptive lifting scheme and particle newlineswarm optimization technique The proposed algorithms offer improved newlinePSNR compression ratio and better visual quality of the reconstructed image newlineThe proposed methodutilize one of the following concepts one being the newlineproperty of wavelet transform in which most of the detail sub band newlinecoefficients remains zero next the use of wavelet packets which pin point newlinesignal components present locally in frequency domain another based on newlinelifting schemes which are highly flexible for building new wavelet newlinedecomposition from existing ones and Particle Swarm Optimization newlinetechnique which is a modern heuristic algorithm applied to image newlinecompression newline newline
Pagination: xix,138p.
URI: http://hdl.handle.net/10603/24865
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File25.11 kBAdobe PDFView/Open
02_certificates.pdf967.29 kBAdobe PDFView/Open
03_abstract.pdf9.56 kBAdobe PDFView/Open
04_acknowledgement.pdf5.98 kBAdobe PDFView/Open
05_contents.pdf31.89 kBAdobe PDFView/Open
06_chapter 1.pdf31.35 kBAdobe PDFView/Open
07_chapter 2.pdf21.86 kBAdobe PDFView/Open
08_chapter 3.pdf1.72 MBAdobe PDFView/Open
09_chapter 4.pdf1.21 MBAdobe PDFView/Open
10_chapter 5.pdf4.23 MBAdobe PDFView/Open
11_chapter 6.pdf1.42 MBAdobe PDFView/Open
12_chapter 7.pdf602.45 kBAdobe PDFView/Open
13_references.pdf35.97 kBAdobe PDFView/Open
14_publications.pdf9.54 kBAdobe PDFView/Open
15_vitae.pdf5.74 kBAdobe PDFView/Open


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