Reconfigurable processor for energy-scalable computational photography
Author(s)Rithe, Rahul; Raina, Priyanka; Ickes, Nathan J.; Chandrakasan, Anantha P.; Tenneti, Srikanth V.
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Computational photography applications, such as lightfield photography, enable capture and synthesis of images that could not be captured with a traditional camera. Non-linear filtering techniques like bilateral filtering form a significant part of computational photography. These techniques have a wide range of applications, including High-Dynamic Range (HDR) imaging, Low-Light Enhanced (LLE) imaging, tone management and video enhancement. The high computational complexity of such multimedia processing applications necessitates fast hardware implementations to enable real-time processing. This paper describes a hardware implementation of a reconfigurable multi-application processor for computational photography.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Microsystems Technology Laboratories
2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers
Institute of Electrical and Electronics Engineers (IEEE)
Rithe, R., 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 (February 2013).
Author's final manuscript