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26 April 2007 Image analysis and understanding using super resolution
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Through the trade-off temporal information, a significant increase in spatial resolution is obtainable. This improvement is quantifiable by using Airy's disc analysis against camera sensor pitch. Integrate the use of Airy's disc to quantify the image improvement in resolvability and ultimately system range. It this comparison that sets the ground works for realistic expectation. Our SR system is a natural tracker of moving vehicles with the addition of improved target resolvability. Super Resolution can capitalize on camera platforms instability. A by product of SR is digitally stabilize imagery to a fraction of a sub-pixel. Investigation in the sub-pixel remapping has lead to the developed of improved super resolve images. Another, approach has lead to the development of a window management scheme for further improvement. The cleaner, from a noise and structural point-of-view, the composite SR image is the more favorable it is to high-sharpening. Mapping into a transform space greatly reduces the correlation complexity which makes it easier to realize the complete algorithm into hardware. We have implemented this system into a real-time architecture. The hardware configuration is composed of an FPGA and supporting processor.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harry Lee, Teresa Olson, Drew Manville, and Gene Cloud "Image analysis and understanding using super resolution", Proc. SPIE 6558, Display Technologies and Applications for Defense, Security, and Avionics, 65580D (26 April 2007);


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