2026-09-21T12:50:28Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/460232022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Steven B. Leeb.
Lindsey, Justin R
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2009-06-30T17:03:30Z
2009-06-30T17:03:30Z
2008
2008
http://hdl.handle.net/1721.1/46023
367588202
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.
117 p.
eng
Massachusetts Institute of Technology
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
Electrical Engineering and Computer Science.
Multi-spectrum field-use image capture & analysis and the RIBG image filter
RIBG image filter
Thesis
application/pdf
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Publication
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