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Image Super-Resolution Enhancements ...

Woods, Matthew.

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Image Super-Resolution Enhancements for Airborne Sensors.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Image Super-Resolution Enhancements for Airborne Sensors./
作者:	Woods, Matthew.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	222 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
Contained By:	Dissertation Abstracts International78-05B(E).
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10193209
ISBN:	9781369447750

Image Super-Resolution Enhancements for Airborne Sensors.
Woods, Matthew.

Image Super-Resolution Enhancements for Airborne Sensors. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 222 p.

Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.

Thesis (Ph.D.)--Northwestern University, 2016.

This thesis discusses the application of advanced digital signal and image processing techniques, particularly the technique known as super-resolution (SR), to enhance the imagery produced by cameras mounted on an airborne platform such as an unmanned aircraft system (UAS). SR is an image processing technology applicable to any digital, pixilated camera that is physically limited by construction to sample a scene with a discrete, m x n pixel array. The straightforward objective of SR is to utilize mathematics and signal processing to overcome this physical limitation of the m x n array and emulate the "capabilities" of a camera with a higher-density, km x kn (k> 1) pixel array. The exact meaning of "capabilities", in the preceding sentence, is application dependent.

ISBN: 9781369447750Subjects--Topical Terms:

523869
Computer science.

Image Super-Resolution Enhancements for Airborne Sensors.
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520 $a SR is a well-studied field starting with the seminal 1984 paper by Huang and Tsai. Since that time, a multitude of papers, books, and software solutions have been written and published on the subject. However, although sharing many common aspects, the application to imaging systems on airborne platforms brings forth a number of unique challenges as well as opportunities that are neither currently addressed nor currently exploited by the state-of-the-art. These include wide field-of-view imagery, optical distortion, oblique viewing geometries, spectral variety from the visible band through the infrared, constant ego-motion, and availability of supplementary information from inertial measurement sensors. Our primary objective in this thesis is to extend the field of SR by addressing these areas. In our research experiments, we make significant use of both simulated imagery as well as real video collected from a number of flying platforms.
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