Back to articles
Articles
Volume: 29 | Article ID: art00013
Image
RTS and photon shot noise reduction based on maximum likelihood estimate with multi-aperture optics and semi-photon-counting-level CMOS image sensors
  DOI :  10.2352/ISSN.2470-1173.2017.11.IMSE-190  Published OnlineJanuary 2017
Abstract

This paper presents an effective noise reduction method for both RTS noise and photon shot noise based on a multi-camera configuration composed of multi-aperture optics and a semiphoton-counting-level CMOS image sensor. We model noise characteristics of the CMOS image sensor with a probability distribution based on measured read noise including RTS noise and shot noise. We estimate the average number of photons by the maximum likelihood estimation with all corresponding pixels in the multi-aperture optics. We compared the noise reduction performance of several schemes when the incident photon number was assumed to be 2 for each aperture. 2 out of 9 apertures showed RTS noise. Simple averaging gave effective noise of 0.68 e-<small>RMS</small>, where RTS noise still exist. Selective averaging, which minimizes synthetic sensor noise, gave that of 0.60 e-<small>RMS</small>. Although RTS noise was removed, photon shot noise was less suppressed because only 7 apertures were considered in averaging. On the other hand, with the maximum likelihood estimation, the effective noise became 0.48 e-<small>RMS</small>, and both RTS noise and photon shot noise were reduced.

Subject Areas :
Views 10
Downloads 1
 articleview.views 10
 articleview.downloads 1
  Cite this article 

Haruki Ishida, Keiichiro Kagawa, Min-Woong Seo, Takashi Komuro, Bo Zhang, Taishi Takasawa, Keita Yasutomi, Shoji Kawahito, "RTS and photon shot noise reduction based on maximum likelihood estimate with multi-aperture optics and semi-photon-counting-level CMOS image sensorsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Sensors and Imaging Systems,  2017,  pp 80 - 83,  https://doi.org/10.2352/ISSN.2470-1173.2017.11.IMSE-190

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2017
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology