Optimal spatial distribution of photodetector array using information theory

Eyal Shekel

doi:10.1117/12.140087

1 July 1992 Optimal spatial distribution of photodetector array using information theory

Eyal Shekel

Proceedings Volume 1710, Science of Artificial Neural Networks; (1992) https://doi.org/10.1117/12.140087
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

Information theory is used to predict an optimal spatial distribution of a given number of photodetectors. We compare our results with the known distribution in the human eye. The optimization takes into account eye movement which leads to different optimal arrays depending on the time scales of the visual information. When the visual data contains mixed time scales, maximum information flow is achieved by an array distribution consisting of both a large uniform low resolution region, and a smaller high resolution region, as in the human retina. Optimal ratios of areas and densities of these two regions are calculated as a function of the number of eye movements. The results lend support to the hypothesis that the retina is an information theoretically optimal processor.

Citation Download Citation

Eyal Shekel "Optimal spatial distribution of photodetector array using information theory", Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); https://doi.org/10.1117/12.140087

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available