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August 4th, 2017: Day 22

I'm sorry about the late blog post but I've been quite busy today. The group read mine and Paige's outline during the morning meeting. She keeps telling me I don't contribute and that I'm useless but insists that I explain the outline and answer questions so I'd like an explanation about that, Paige. This morning we worked on our presentation mostly. We put together slides and got images ready. My best friend was on campus today for a college and major exposition or whatever the program is so we got lunch and I told her all about the internship and the wonderful people I've met. I got very into detail about the Lunch Bunch, I was very excited to tell her all about them. I also told her about my project and Paige, Dave, and Roger. After she left I went back inside and worked a little more on the presentation. We don't have as much data for the palimpsest as we did for the Selden Map so that section is going to be much shorter, or at least it is for now. I emailed Todd Hanneken, the scholar who studies the Jubilees at St. Mary's of Texas, and he gave us a good background about the document and told us some helpful things. I left at 2:30 to go home for the weekend so I didn't see what Paige did in the later afternoon. She told me that she talked to Dave about shortening the presentation down to about 20 slides so I guess we'll worry about that Monday. I'll look at what she's done later tonight when I'm freaking out about the presentation at 3 in the morning. It's just like school! I'm excited to start practicing and seeing everything come together but I'm sad that we have less than two weeks left.. Joe, you also missed a thrilling day of squirrel jerky and I'm sure you're just dying to know where it came from... you'll just have to wait until Thursday to find out.

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Outline

Intro Background: We are working to uncover illegible text from the "Jubilees Palimpsest" and find corrections and later additions on the Selden Map of China     Purpose/Technique: We use hyper-spectral imaging (several narrow spectral hundred bands) and multi-spectral imagining (fewer than 50 bands) The images are digitally processed and combined to create images with more characters that are legible than those in the regular RGB image Processing tools include Principle Components Analysis (PCA), Spectral Angle Mapper (SAM), Spectral Profiles   Selden Map Background: The Selden Map dates back to the early 17th Century during the Ming Dynasty The map includes approximately 15 countries and shows a system of navigational routes China, Borneo, Japan, Korea, and Taiwan are five countries with the most significant results Focus/Results: Green corrections in Borneo, Korea, Taiwan, and Rivers of North China Missing texts and names of ports in B...

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..

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 ...