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Title:Feature-Based Texture Synthesis and Hierarchical Tensor Approximation
Author(s):Wu, Qing
Doctoral Committee Chair(s):Yu, Yizhou
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
Abstract:Finally, we propose to apply multilinear models to wavelet domain to reduce overhead. High-frequency wavelet sub-bands are subdivided into small blocks most of which get pruned. The blocks are usually correlated especially when properly classified. Different channels and sub-bands may exhibit strong redundancy as well. We reorganize the subdivided blocks into small tensors, classify the unpruned ones and approximate each cluster as a tensor ensemble. Experiments on images and medical volume data indicate that this approach achieves better approximation quality than wavelet (packet) transforms and hybrid linear models.
Issue Date:2007
Type:Text
Language:English
Description:80 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.
URI:http://hdl.handle.net/2142/81806
Other Identifier(s):(MiAaPQ)AAI3301250
Date Available in IDEALS:2015-09-25
Date Deposited:2007


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