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Title:Structure Mediated Use of Local-Global Duality in Image and Video Processing
Author(s):Ratakonda, Krishna Chaitanya
Doctoral Committee Chair(s):Ahuja, Narendra
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Electronics and Electrical
Abstract:An image can have multiple representations, each of which has its own advantages and disadvantages from the perspective of image processing operations. This thesis investigates how to combine multiple representations with efficient optimization techniques so as to gather together their combined strengths in improving both objective and perceptual quality of the processed image. In many of the applications that we consider, global smoothness properties of the image are captured by linear transform-based representations while local edge-based properties are captured with a segmentation algorithm. Applications used to justify the efficacy of such an approach include lossless image compression, lossy video compression, denoising AWGN corrupted images and image magnification. It is found that many of the traditional unirepresentational processing techniques are special cases of the general multirepresentational formulations that are presented in this thesis.
Issue Date:1999
Description:154 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.
Other Identifier(s):(MiAaPQ)AAI9944980
Date Available in IDEALS:2015-09-25
Date Deposited:1999

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