Analysis and Optimization of Aperture Design in Computational Imaging
Image and Video Processing
2017-12-14 v1 Signal Processing
Abstract
There is growing interest in the use of coded aperture imaging systems for a variety of applications. Using an analysis framework based on mutual information, we examine the fundamental limits of such systems---and the associated optimum aperture coding---under simple but meaningful propagation and sensor models. Among other results, we show that when thermal noise dominates, spectrally-flat masks, which have 50% transmissivity, are optimal, but that when shot noise dominates, randomly generated masks with lower transmissivity offer greater performance. We also provide comparisons to classical pinhole cameras.
Cite
@article{arxiv.1712.04541,
title = {Analysis and Optimization of Aperture Design in Computational Imaging},
author = {Adam Yedidia and Christos Thrampoulidis and Gregory Wornell},
journal= {arXiv preprint arXiv:1712.04541},
year = {2017}
}