Undergrad Research Project - Compressive wide field-of-view imaging using volumetric masks

Fall 2016

Student
Isaac Manjarres
Advisor
Aswin Sankaranarayanan
Project description

The objective of this research project is to modify the current compressive sensing technology used to recover signals from sampling, to produce an algorithm that can produce images of higher quality than those produced by compressive sensing in a space efficient manner. In order to collect data, fisheye lenses with randomly distributed embedded impurities are used to collect samples of the surrounding scenes. These impurities minimize the area that is sampled, and with an array of such lenses, it is possible to sample areas that intersect and add their intersecting areas together and use compressive sensing theory to recover the image with a smaller amount of samples. We expect for the algorithm to produce images of higher quality than those produced by compressive sensing, thus producing an image signal that is closer in appearance to the original image.

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