Image Morphing Based on Mutual Information and Optimal Mass Transport

Author(s)
Zhu, Lei
Yang, Yan
Haker, Steven
Tannenbaum, Allen R.
Advisor(s)
Editor(s)
Associated Organization(s)
Organizational Unit
Wallace H. Coulter Department of Biomedical Engineering
The joint Georgia Tech and Emory department was established in 1997
Series
Supplementary to:
Abstract
Time domain image interpolation, or image morphing, refers to a class of techniques for generating a series of smoothly changing intermediate images between two given related images. In this note, we present a novel approach based on the theory of optimal mass transport, using mutual information (MI) as the similarity measurement. The potential applications also include image registration, compression and coding.
Sponsor
Date
2004-10
Extent
Resource Type
Text
Resource Subtype
Proceedings
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