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Proceedings Paper

The Information Theoretical Significance of Spatial and Temporal Masking in Video Signals
Author(s): Bernd Girod
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Paper Abstract

We discuss the significance of masking effects for source coding of video signals without visible impairments. A new nonlinear spatiotemporal model of human threshold vision is proposed. Linearization yields the space-time-varying w-model. The model predicts both spatial and temporal masking effects accurately. Maximum bit-rate savings by irrelevancy reduction according to the w-model are evaluated for natural test pictures on the basis of the Shannon Lower Bound of rate distortion theory. Maximum bit-rate savings due to masking are below 0.5 bit/sample in the average. Typically 1/3 of the masking gain is due to spatial masking, the rest is due to the presence of dark and bright areas in the picture, where the visibility of noise is reduced. Gains due to temporal masking are significant only in the first 100 ms after a scene cut.

Paper Details

Date Published: 15 August 1989
PDF: 12 pages
Proc. SPIE 1077, Human Vision, Visual Processing, and Digital Display, (15 August 1989); doi: 10.1117/12.952716
Show Author Affiliations
Bernd Girod, MIT Media Laboratory (United States)


Published in SPIE Proceedings Vol. 1077:
Human Vision, Visual Processing, and Digital Display
Bernice E. Rogowitz, Editor(s)

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