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Ahuja, Narendra Ratakonda, Krishna Chaitanya 2015-09-25T20:10:26Z 2015-09-25T20:10:26Z 10000-01-01 1999 1999 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. Made available in DSpace on 2015-09-25T20:10:26Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9944980.pdf: 4195602 bytes, checksum: b216cc5228a24bb4ffc76b5f2022d2b9 (MD5) Previous issue date: 1999 Embargo set by: Seth Robbins for item 82578 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 154 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999. http://hdl.handle.net/2142/81297 (MiAaPQ)AAI9944980 eng Engineering, Electronics and Electrical Structure Mediated Use of Local-Global Duality in Image and Video Processing text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.