Paper
24 May 1999 Is monocular degradation visible in fused stereo images?
Daniel V. Meegan, Lew B. Stelmach, Wa James Tam
Author Affiliations +
Proceedings Volume 3639, Stereoscopic Displays and Virtual Reality Systems VI; (1999) https://doi.org/10.1117/12.349377
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
For efficient transmission of stereoscopic images over bandwidth-limited channels, human factors specialists have recognized that savings can be achieved by degrading one monocular component of a stereo pair and maintaining the other at the desired quality. The desired quality can be preserved as long as binocular vision assigns greater weight to the non-degraded component. The present study sought to determine if such over-weighting occurred when the monocular degradation included blocking artifacts common to DCT-based compression at low bit-rates. Stereo images with asymmetric amounts of degradation in the left and right components were matched to symmetric images on a metric of blocking artifact visibility. Under weighting of the higher-quality component was indicated because matches did not require that the degree of improvement in one component be offset by equivalent degradation of the other. These results suggest that blocking artifacts should not be present if monocular degradation is to be a successful means of bandwidth savings for stereo image transmission. There was also evidence that the type of weighting can depend upon which eye is shown the higher-quality component, suggesting the ta monocular degradation should not be applied to only one eye.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel V. Meegan, Lew B. Stelmach, and Wa James Tam "Is monocular degradation visible in fused stereo images?", Proc. SPIE 3639, Stereoscopic Displays and Virtual Reality Systems VI, (24 May 1999); https://doi.org/10.1117/12.349377
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Cited by 2 scholarly publications.
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KEYWORDS
Visibility

Quantization

Eye

Image compression

Error control coding

Image transmission

Video

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