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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151318
Doc. No : ET23110
Main Entry : Michael B. Wakin
Title Proper : Image Compression using Multisde Geometric Edge Models
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Edges are of particular interest for image compression, as they communicate importantinformation, contribute large amounts of high-frequency energy, and can generally be de-scribed with few parameters. Many of today's most competitive coders rely on waveletsto transform and compress the image, but modeling the joint behavior of wavelet cwffi-cients along an edge presents a distinct challenge. In this thesis, we examine techniquesfor exploiting the simple geometric structure which captures edge information. Using amultiscale wedgelet decomposition, we present methods for extracting and compressing acartoon sketch containing the significant edge information, and we discuss practical issuesassociated with coding the residual textures. Extending these techniques, we propose arate-distortion optimal framework (based on the Space-Frequency Quantization algorithm)using wedgelets to capture geometric information and wavelets to describe the rest. At lowbitrates, this method yields compressed images with sharper edges and lower mean-squareerror..-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46344.pdf
Title and statement of responsibility and : Image Compression using Multisde Geometric Edge Models [Thesis]
 
 
 
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