Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/29983
Title: | Image Superresolution through a Network of Wireless Cameras |
Authors: | Directo, Marc |
Advisor: | Capson, David Shirani, Shahram |
Department: | Electrical and Computer Engineering |
Keywords: | random;sample;consensus;ransac;camera;resolution;image;superresolution;network;bluetooth;pocs;projection;data |
Publication Date: | Mar-2004 |
Abstract: | This thesis outlines a multiple-camera wireless image superresolution system which uses off-the-shelf components. The system presented demonstrates the reconstruction of a high-resolution image from multiple low-resolution images acquired from different wireless camera nodes. Each camera node participating in the system consists of a dedicated camera for image acquisition as well as a Bluetooth USB communications card for wireless transmission of data. Low-resolution images are captured at these nodes and are transmitted to the central vision server, where they are processed and registered onto a common projective plane. The registration process is arrived at through the RANdom SAmple Consensus (RANSAC) algorithm. Once the set of low-resolution images has been registered, a single high-resolution image is reconstructed. The super-resolution process used to obtain the high-resolution output is the Projection Onto Convex Sets (POCS) technique. Reconstruction results are presented. |
URI: | http://hdl.handle.net/11375/29983 |
Appears in Collections: | Digitized Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Directo_Marc_2004Mar_Masters.pdf | 5.35 MB | Adobe PDF | View/Open |
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