The effect of receptor signal-to-noise levels on optimal filtering in a sensory system

Author

Plumbley, Mark D. ; Fallside, Frank

Author_Institution

Dept. of Eng., Cambridge Univ., UK

fYear

1991

fDate

14-17 Apr 1991

Firstpage

2321

Abstract

Consideration is given to image filtering (temporal and spatial) in a neural system for transmitting images through a limited capacity channel, in the case of a noisy image at the receptors. The authors use an extension of Shannon´s (1949) formula for the capacity of a Gaussian channel to determine the optimum filter to be used. For realistic image statistics, they show that the bandwidth of this filter is self-limiting, and it has a high frequency boost that disappears at low signal levels. This behavior is mirrored in biological retinas

Keywords

channel capacity; eye; filtering and prediction theory; neurophysiology; noise; picture processing; Gaussian channel capacity; SNR; Shannon´s formula; bandwidth; biological retinas; image filtering; image statistics; neural system; noisy image; optimal filtering; receptor signal-to-noise levels; sensory system; spatial filtering; temporal filtering; Bandwidth; Biomedical optical imaging; Channel capacity; Costs; Filtering; Gaussian channels; Gaussian noise; Optical filters; Optical sensors; Retina;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150769

Filename

150769