Real-time hardware realization of a deblurring anisoplanaticism corrector (DAC) for improvement of long-range video imagery

R. G. Hier; R. C. Puetter

doi:10.1117/12.795564

26 August 2008 Real-time hardware realization of a deblurring anisoplanaticism corrector (DAC) for improvement of long-range video imagery

R. G. Hier, R. C. Puetter

Author Affiliations +

Proceedings Volume 7094, Unconventional Imaging IV; 70940B (2008) https://doi.org/10.1117/12.795564
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

We are engaged in the development of an FPGA-based real-time video Deblurring Anisoplanaticism Corrector (DAC) under a U.S. Army SBIR Phase II program. This DAC processor features the ability to measure and correct for the inherent geometric image warp (e.g. as caused by anisoplanaticism) for each incoming video field by comparison with a running-average reference image compiled by the processor from recent accumulated image data. The incoming video field is accordingly dewarped and passed to an adaptive higher-order temporal filter, which appropriately combines the new video field into the reference image. This filter moderates the contribution of each new pixel, based on temporal spectrum, goodness of fit, and related information, in order to differentiate between the effects of anisoplanatically induced warp and the effects of true changes in the image such as those caused by motion of objects. The DAC processor also includes other real-time PixonVision image enhancement capabilities such as dehazing, spatial deblurring for removal of additional high-order image blur, spatial denoising, and spatially adaptive contrast enhancement. A hardware proof-of-concept system is being implemented for standard NTSC video operation, and development progress and related preliminary results for that system are presented here.

Citation Download Citation

R. G. Hier and R. C. Puetter "Real-time hardware realization of a deblurring anisoplanaticism corrector (DAC) for improvement of long-range video imagery", Proc. SPIE 7094, Unconventional Imaging IV, 70940B (26 August 2008); https://doi.org/10.1117/12.795564

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