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4 May 2007Improving the power, bandwidth, and latency performance of UAV-based imaging systems by structural computation methods
In this paper we present a new method of compressing and decompressing video streams directly on video
sensors and display panels, without the use of on-board or independent DSP processors. This eliminates
compression/decompression processing delays, minimizes power use, reduces the physical size of the
system, and significantly reduces the bandwidth required for the live transmission of images. The method
enhances the capabilities of small size surveillance systems, UAVs as well as battery powered mobile
entertainment equipment (digital cameras, iPODs, camcorders, camera cell phones...). To achieve these
goals we make structural changes to the camera and display sub-system architectures so they can directly
process the compressed streams. In particular, we geometrically distribute the light detection and
generation elements to correspond to the DCT and ICT coefficients of the JPEG/MPEG algorithm. This
eliminates many system redundancies which in turn deliver the aforementioned performance improvements.
Andrei Cernasov
"Improving the power, bandwidth, and latency performance of UAV-based imaging systems by structural computation methods", Proc. SPIE 6538, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI, 65380U (4 May 2007); https://doi.org/10.1117/12.718203
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Andrei Cernasov, "Improving the power, bandwidth, and latency performance of UAV-based imaging systems by structural computation methods," Proc. SPIE 6538, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI, 65380U (4 May 2007); https://doi.org/10.1117/12.718203