Multi-spectrum field-use image capture & analysis and the RIBG image filter
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2009
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| Online Access: | http://hdl.handle.net/1721.1/46023 |
| _version_ | 1826203424639680512 |
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| author | Lindsey, Justin R |
| author2 | Steven B. Leeb. |
| author_facet | Steven B. Leeb. Lindsey, Justin R |
| author_sort | Lindsey, Justin R |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008. |
| first_indexed | 2024-09-23T12:36:26Z |
| format | Thesis |
| id | mit-1721.1/46023 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T12:36:26Z |
| publishDate | 2009 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/460232019-04-11T14:26:58Z Multi-spectrum field-use image capture & analysis and the RIBG image filter RIBG image filter Lindsey, Justin R Steven B. Leeb. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008. Includes bibliographical references (p. 66-67). The availability of low-cost wide-spectrum sensors in digital SLR cameras, LED emitters of various wavelengths, and the small form factor of solid state electronics makes it possible to begin to explore the capture of information illuminated by spectrums outside the visible range. It is proposed that the RIBG image filter, where I is infrared in the 700nm - 1000nm range, replace the traditional Bayer pattern. This thesis introduces I-Blending for the creation of traditional 3 channel RGB images from the 4 channel RIBG image. The infrared information is applicable to field capture and analysis because it: (1) limits visual scene disturbance at time of capture, (2) generates multiple images from a single captured image and (3) and provides additional infrared information to exploit. This thesis uses the presence of infrared information in a positional flash sequence algorithm, a flash/no flash algorithm, and 2-D to 3-D surface topology algorithm. by Justin R. Lindsey. M.Eng. 2009-06-30T17:03:30Z 2009-06-30T17:03:30Z 2008 2008 Thesis http://hdl.handle.net/1721.1/46023 367588202 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 117 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Lindsey, Justin R Multi-spectrum field-use image capture & analysis and the RIBG image filter |
| title | Multi-spectrum field-use image capture & analysis and the RIBG image filter |
| title_full | Multi-spectrum field-use image capture & analysis and the RIBG image filter |
| title_fullStr | Multi-spectrum field-use image capture & analysis and the RIBG image filter |
| title_full_unstemmed | Multi-spectrum field-use image capture & analysis and the RIBG image filter |
| title_short | Multi-spectrum field-use image capture & analysis and the RIBG image filter |
| title_sort | multi spectrum field use image capture analysis and the ribg image filter |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/46023 |
| work_keys_str_mv | AT lindseyjustinr multispectrumfielduseimagecaptureanalysisandtheribgimagefilter AT lindseyjustinr ribgimagefilter |