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 mode...
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ndltd-asu.edu-item-178312018-06-22T03:03:52Z 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 analytical framework for intensity-based registration using control grid constraints. 3) Quantitative assessment of the new, single-image enlargement algorithm based on analytical intensity-based registration. In addition to single image resizing, the new methods and analytical approaches were extended to address a wide range of applications including volumetric (multi-slice) image interpolation, video deinterlacing, motion detection, and atmospheric distortion correction. Overall, the new approaches generate results that more accurately reflect the underlying signals than less computationally demanding approaches and with lower processing requirements and fewer restrictions than methods with comparable accuracy. Dissertation/Thesis 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) Biomedical engineering Electrical engineering Image Processing Interpolation Motion Estimation Registration Super resolution eng 160 pages Ph.D. Bioengineering 2013 Doctoral Dissertation http://hdl.handle.net/2286/R.I.17831 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2013 |
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language |
English |
format |
Doctoral Thesis |
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Biomedical engineering Electrical engineering Image Processing Interpolation Motion Estimation Registration Super resolution |
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Biomedical engineering Electrical engineering Image Processing Interpolation Motion Estimation Registration Super resolution Analytical Control Grid Registration for Efficient Application of Optical Flow |
description |
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 analytical framework for intensity-based registration using control grid constraints. 3) Quantitative assessment of the new, single-image enlargement algorithm based on analytical intensity-based registration. In addition to single image resizing, the new methods and analytical approaches were extended to address a wide range of applications including volumetric (multi-slice) image interpolation, video deinterlacing, motion detection, and atmospheric distortion correction. Overall, the new approaches generate results that more accurately reflect the underlying signals than less computationally demanding approaches and with lower processing requirements and fewer restrictions than methods with comparable accuracy. === Dissertation/Thesis === Ph.D. Bioengineering 2013 |
author2 |
Zwart, Christine M. (Author) |
author_facet |
Zwart, Christine M. (Author) |
title |
Analytical Control Grid Registration for Efficient Application of Optical Flow |
title_short |
Analytical Control Grid Registration for Efficient Application of Optical Flow |
title_full |
Analytical Control Grid Registration for Efficient Application of Optical Flow |
title_fullStr |
Analytical Control Grid Registration for Efficient Application of Optical Flow |
title_full_unstemmed |
Analytical Control Grid Registration for Efficient Application of Optical Flow |
title_sort |
analytical control grid registration for efficient application of optical flow |
publishDate |
2013 |
url |
http://hdl.handle.net/2286/R.I.17831 |
_version_ |
1718700045722714112 |