Paper
15 February 2012 S/N improvement for the optical-multiplex image-acquisition system
Author Affiliations +
Proceedings Volume 8298, Sensors, Cameras, and Systems for Industrial and Scientific Applications XIII; 82980Y (2012) https://doi.org/10.1117/12.907272
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
The optical-multiplex system is comprised of an image sensor, a multi-lens array and signal processing unit. The key feature of the optical-multiplex system is that each pixel of the image sensor captures multiple data of the object through multi-lenses and the object data is obtained by processing the raw data output from the optical-multiplex image sensor. We are now able to report that our system can improve the signal-to-noise ratio of the image output from the opticalmultiplex system by changing the shading characteristics of the multi-lenses in the optical-multiplex system. In a model of the system for simulation purposes, an optical-multiplex system with five lenses is used. The five lenses are located at the center, upper, lower, left and right above an image sensor. We calculate the signal-to-noise ratio of the image output from the optical-multiplex system by changing the shading characteristics of the four lenses located at the upper, lower, left and right. The best signal-to-noise ratio of this image output by the optical-multiplex system is 8.895 dB better than that of a camera with a single lens. This value is beyond the previous report value of 3.764 dB.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tadakuni Narabu "S/N improvement for the optical-multiplex image-acquisition system", Proc. SPIE 8298, Sensors, Cameras, and Systems for Industrial and Scientific Applications XIII, 82980Y (15 February 2012); https://doi.org/10.1117/12.907272
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image sensors

Light sources

Signal to noise ratio

Lenses

Diffusion

Imaging systems

Signal processing

Back to Top