Image statistics and their processing in insect vision

Olga Dyakova; Karin Nordström

doi:10.1016/j.cois.2017.08.002

Image statistics and their processing in insect vision

Curr Opin Insect Sci. 2017 Dec:24:7-14. doi: 10.1016/j.cois.2017.08.002. Epub 2017 Sep 6.

Authors

Olga Dyakova¹, Karin Nordström²

Affiliations

¹ Department of Neuroscience, Uppsala University, Box 593, 751 24 Uppsala, Sweden.
² Department of Neuroscience, Uppsala University, Box 593, 751 24 Uppsala, Sweden; Centre for Neuroscience, Flinders University, GPO Box 2100, Adelaide, SA 5001, Australia. Electronic address: karin.nordstrom@flinders.edu.au.

PMID: 29208226
DOI: 10.1016/j.cois.2017.08.002

Abstract

Natural scenes may appear random, but are not only constrained in space and time, but also show strong spatial and temporal correlations. Spatial constraints and correlations can be described by quantifying image statistics, which include intuitive measures such as contrast, color and luminance, but also parameters that need some type of transformation of the image. In this review we will discuss some common tools used to quantify spatial and temporal parameters of naturalistic visual input, and how these tools have been used to inform us about visual processing in insects. In particular, we will review findings that would not have been possible using conventional, experimenter defined stimuli.

Publication types

Review
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, Non-U.S. Gov't

MeSH terms

Animals
Insecta / physiology*
Neurophysiology / methods*
Vision, Ocular*
Visual Perception*