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Full-Text Articles in Physical Sciences and Mathematics
Super-Resolution Via Image Recapture And Bayesian Effect Modeling, Neil B. Toronto
Super-Resolution Via Image Recapture And Bayesian Effect Modeling, Neil B. Toronto
Theses and Dissertations
The goal of super-resolution is to increase not only the size of an image, but also its apparent resolution, making the result more plausible to human viewers. Many super-resolution methods do well at modest magnification factors, but even the best suffer from boundary and gradient artifacts at high magnification factors. This thesis presents Bayesian edge inference (BEI), a novel method grounded in Bayesian inference that does not suffer from these artifacts and remains competitive in published objective quality measures. BEI works by modeling the image capture process explicitly, including any downsampling, and modeling a fictional recapture process, which together allow …
A Unified Approach To Gpu-Accelerated Aerial Video Enhancement Techniques, Stephen Thayn Cluff
A Unified Approach To Gpu-Accelerated Aerial Video Enhancement Techniques, Stephen Thayn Cluff
Theses and Dissertations
Video from aerial surveillance can provide a rich source of data for analysts. From the time-critical perspective of wilderness search and rescue operations, information extracted from aerial videos can mean the difference between a successful search and an unsuccessful search. When using low-cost, payload-limited mini-UAVs, as opposed to more expensive platforms, several challenges arise, including jittery video, narrow fields of view, low resolution, and limited time on screen for key features. These challenges make it difficult for analysts to extract key information in a timely manner. Traditional approaches may address some of these issues, but no existing system effectively addresses …