Method and apparatus for implementing moving image color appearance model for video quality ratings prediction
AssigneeTektronix, Inc.
InventorKEVIN M. FERGUSON
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Abstract
Embodiments of the invention include systems and methods for predicting video quality through human vision perceptual color response and associated perceptual differences of video relative to a reference. Embodiments include a model of the human vision system developed as an extension to CIECAM02 to predict the macro-behavioral response to light stimuli with the following varying parameters, in addition to the parameters relevant to CIECAM02: spatial frequency, temporal frequency, angular extent, temporal extent, and surround.
Claims20
A method of predicting color visual differences in video, comprising:
- accepting a video signal to be analyzed;
- receiving an unfiltered white signal corresponding to the video display and viewing environment;
- creating a spatial surround from the video signal;
- creating a spatial center from the video signal;
- and
- creating a temporal surround of the video signal from a combination of the spatial surround, the spatial center, and the unfiltered white signal using one or more weighting factors.
A system for moving image color appearance modeling, comprising:
- an input structured to accept a video signal;
- a white generator structured to create an unfiltered white signal from the video signal;
- a cone response generator coupled to the input and structured to generate a set of cone responses from the video signal;
- a spatial center filter structured to generate a spatial center of one of the set of cone responses;
- a spatial surround filter structured to generate a spatial surround of the one of the set of cone responses;
- and
- a temporal surround filter structured to generate a temporal surround from the spatial center, spatial surround, and the unfiltered white signal.
Dependencies are inferred from the claim text.