Paper
22 August 1980 A Rationale For Optimal Coded Aperture Design
W. L. Rogers, R. S. Adler, K. F. Koral
Author Affiliations +
Proceedings Volume 0231, 1980 Intl Optical Computing Conf I; (1980) https://doi.org/10.1117/12.958854
Event: 1980 Technical Symposium East, 1980, Washington, D.C., United States
Abstract
The distribution of noise in coded aperture images is known to depend in a complex manner upon the encoding technique, the decoding technique and upon the object distribution. We have examined the S/N characteristics of a classs of, planar, pseudorandom, time-modulated coded apertures in order to optimize the aperture design for a defined object distribution. Relative standard deviation (RSD) in the reconstructed image is studied both theoretically and by computer simulation. Results are shown for uniform, planar source distributions of varying size as a function of mean code plate transmission and aperture hole spacing. In each case, effects of solid angle and finite geometry are taken into account. For simplicity, image reconstruction is accomplished by backprojection. For a source size equal to 20% of a full field flood, a code of 12% mean transmission gives a near optimum S/N. The RSD with this code for an on-axis image element is equal to .33 of that for a single scanning pinhole covering an identical field of view. Even for a 100% field flood an optimum code exists which has a mean transmission of nearly 4%. The RSD in this case is smaller compared to the scanning pinhole by a factor of .85.
© (1980) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
W. L. Rogers, R. S. Adler, and K. F. Koral "A Rationale For Optimal Coded Aperture Design", Proc. SPIE 0231, 1980 Intl Optical Computing Conf I, (22 August 1980); https://doi.org/10.1117/12.958854
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Coded apertures

Floods

Modulation

Solids

Optical computing

Point spread functions

Back to Top