Temporal processing for realtime human vision system behavior modeling
First Claim
1. An improved method of realtime human vision system behavior modeling of the type having spatial modeling to obtain a measure of visible impairment of a test image signal derived from a reference image signal comprising the step of temporally processing the reference and test image signals prior to the spatial modeling to account for a shift in peak sensitivity and for frequency doubling and other subtleties in a spatio-temporal sensitivity function by emulating neural attack and decay.
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Abstract
Temporal processing for realtime human vision system behavioral modeling is added at the input of a spatial realtime human vision system behavioral modeling algorithm. The temporal processing includes a linear and a non-linear temporal filter in series in each of a reference channel and a test channel, the input to the reference channel being a reference image signal and the input to the test channel being a test image signal that is an impaired version of the reference image signal. The non-linear temporal filter emulates a process with neural attack and decay to compensate for a shift in peak sensitivity and for frequency doubling in a spatio-temporal sensitivity function. The linear temporal filter accounts for the remaining subtleties in the spatio-temporal sensitivity function.
25 Citations
7 Claims
- 1. An improved method of realtime human vision system behavior modeling of the type having spatial modeling to obtain a measure of visible impairment of a test image signal derived from a reference image signal comprising the step of temporally processing the reference and test image signals prior to the spatial modeling to account for a shift in peak sensitivity and for frequency doubling and other subtleties in a spatio-temporal sensitivity function by emulating neural attack and decay.
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