Reconfigurable processor for energy-scalable computational photography

Abstract

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.