DocumentCode :
1705391
Title :
Reconfigurable processor for energy-scalable computational photography
Author :
Rithe, Rahul ; Raina, Priyanka ; Ickes, Nathan ; Tenneti, S.V. ; Chandrakasan, Anantha P.
Author_Institution :
Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2013
Firstpage :
164
Lastpage :
165
Abstract :
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.
Keywords :
computational complexity; digital photography; image enhancement; nonlinear filters; real-time systems; video signal processing; HDR imaging; LLE imaging; bilateral filtering; computational complexity; energy-scalable computational photography; hardware implementations; high-dynamic range imaging; image capture; image synthesis; lightfield photography; low-light enhanced imaging; multimedia processing applications; nonlinear filtering techniques; realtime processing; reconfigurable multi-application processor; tone management; traditional camera; video enhancement; Computer architecture; Engines; Filtering; Interpolation; Microprocessors; Photography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International
Conference_Location :
San Francisco, CA
ISSN :
0193-6530
Print_ISBN :
978-1-4673-4515-6
Type :
conf
DOI :
10.1109/ISSCC.2013.6487683
Filename :
6487683
Link To Document :
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