Estimates of Temporal Edge Detection Filters in Human Vision

Edge detection is an important process in human visual processing. However, as far as we know, few attempts have been made to map the temporal edge detection filters in human vision. To that end, we devised a user study and collected data from which we derived estimates of human temporal edge detection filters based on three different models, including the derivative of the infinite symmetric exponential function and temporal contrast sensitivity function. We analyze our findings using several different methods, including extending the filter to higher frequencies than were shown during the experiment. In addition, we show a proof of concept that our filter may be used in spatiotemporal image quality metrics by incorporating it into a flicker detection pipeline.


Gyorgy Denes (The Perse School and University of Cambridge)
Kalle Åström (Lund University)
Magnus Oskarsson (Lund University)
William H. McIlhagga (University of Bradford)

Publication Date

Research Area