Spatio-Temporal Discrimination Model Predicts Temporal Masking Functions

e present a simplified dual-channel discrimination model with spatio-temporal filters to represent the t s visual system contrast sensitivity, and masking based on local spatio-temporal contrast energy. The contras ensitivity filter parameters of the model were based on previous work. The masking and global sensitivity h t parameters are calibrated to masking data using brief grating target signals masked by a 700 msec grating wit he same spatial parameters. Keywords: video, image quality, masking, vision models, target detection. T 1. INTRODUCTION his work is part of a research program to develop vision models to help display system designers d e evaluate target and display artifact visibility. Here we describe a computationally simply model for the rapi valuation of the visibility of differences in image sequences. An extension of simple models developed for d static images, this spatio-temporal discrimination model provides for local luminance contrast effects an 1, 2, 3 local m..