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Reconfigurable processor for energy-scalable computational photography

Rithe, Rahul and Raina, Priyanka and Ickes, Nathan and Tenneti, Srikanth V. and Chandrakasan, Anantha P. (2013) Reconfigurable processor for energy-scalable computational photography. In: 2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers. IEEE , Piscataway, NJ, pp. 164-165. ISBN 978-1-4673-4516-3.

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Computational photography applications, such as lightfield photography [1], enable capture and synthesis of images that could not be captured with a traditional camera. Non-linear filtering techniques like bilateral filtering [2] form a significant part of computational photography. These techniques have a wide range of applications, including High-Dynamic Range (HDR) imaging [3], Low-Light Enhanced (LLE) imaging [4], tone management and video enhancement. The high computational complexity of such multimedia processing applications necessitates fast hardware implementations [5] to enable real-time processing. This paper describes a hardware implementation of a reconfigurable multi-application processor for computational photography.

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Tenneti, Srikanth V.0000-0002-5415-3681
Additional Information:© 2013 IEEE. This work was funded by Foxconn Technology Group. The authors thank TSMC University Shuttle Program for chip fabrication and Prof. Fredo Durand and Jonathan Regan-Kelley for valuable feedback and suggestions.
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Foxconn Technology GroupUNSPECIFIED
Record Number:CaltechAUTHORS:20170130-171410598
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Official Citation:R. Rithe, P. Raina, N. Ickes, S. V. Tenneti and A. P. Chandrakasan, "Reconfigurable processor for energy-scalable computational photography," 2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers, San Francisco, CA, 2013, pp. 164-165. doi: 10.1109/ISSCC.2013.6487683
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:73837
Deposited By: Kristin Buxton
Deposited On:31 Jan 2017 17:55
Last Modified:09 Mar 2020 13:19

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