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Analytical Control Grid Registration for Efficient Application of Optical Flow


Abstract Image resolution limits the extent to which zooming enhances clarity, restricts the size digital photographs can be printed at, and, in the context of medical images, can prevent a diagnosis. Interpolation is the supplementing of known data with estimated values based on a function or model involving some or all of the known samples. The selection of the contributing data points and the specifics of how they are used to define the interpolated values influences how effectively the interpolation algorithm is able to estimate the underlying, continuous signal. The main contributions of this dissertation are three fold: 1) Reframing edge-directed interpolation of a single image as an intensity-based registration problem. 2) Providing an analyt... (more)
Created Date 2013
Contributor Zwart, Christine M. (Author) / Frakes, David H (Advisor) / Karam, Lina (Committee member) / Kodibagkar, Vikram (Committee member) / Spanias, Andreas (Committee member) / Towe, Bruce (Committee member) / Arizona State University (Publisher)
Subject Biomedical engineering / Electrical engineering / Image Processing / Interpolation / Motion Estimation / Registration / Super resolution
Type Doctoral Dissertation
Extent 160 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Ph.D. Bioengineering 2013
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis