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August 2nd, 2017: Day 20

The morning meeting was standard, we did a few more outlines and some people gave feedback. Paige was back today and I was so happy to see her, I am no longer alone!!! She has been making image cubes all day while I got some useful results, finally. Five of us went to see Chris Gloudeman's presentation on the third floor in room 3215. He leaves for home on Saturday and I'm really sad to see him go. At least David Lewis is back from Chicago. I started putting our final presentation together and it's not half bad. I took out the insignificant slides and put in a few about the Jubilees and Ambrosiana Library. We're trying to get it down to about 50 slides so we'll have to make some tough decisions about what to cut. The data Roger gave us Amb_C73_001-004 are all really good. The narrowbands show some good information but the fluorescence doesn't have much on it.

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Outline

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July 25th, 2017: Day 14

I have nothing to report about the morning meeting. We got new data from Roger and we spent a lot of the time just making image cubes. We also visited the 3D printer to make a part that Peter and Ashley needed while our files were loading. Today has mainly consisted of renaming things and making image cubes and asking David Lewis for help. Thank goodness for David Lewis. We haven't created any new images so unfortunately nothing exciting to post in the blog today..
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Abstract Rough Draft

 Document Restoration's main focus is to study old documents and analyze them using several techniques. We are currently working on finding corrections using pigment analysis and imaging enhancements on the Selden Map of the Ming Dynasty dating back to the 1600's. We will also be working with faded and illegible texts. These documents have either been erased, covered up, or have faded. Spectral imaging creates more precise and useful information than regular red, green, blue (RGB) imagery.   For example, hy per-spectral and multi-spectral imaging are used to make items more legible and more visible to the human eye. Multi-spectral imaging uses less than 50 color bands during processing, while hyper-spectral imaging uses several hundred bands during processing. Other analysis techniques used to get more information about a part of a document include Principal Components Analysis (PCA), Spectral Angle Mapper (SAM), and Mahalanobis Distance. These techniques can also be applied ...
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