Paper
17 July 1998 Real-time foveated multiresolution system for low-bandwidth video communication
Wilson S. Geisler, Jeffrey S. Perry
Author Affiliations +
Proceedings Volume 3299, Human Vision and Electronic Imaging III; (1998) https://doi.org/10.1117/12.320120
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States
Abstract
Foveated imaging exploits the fact that the spatial resolution of the human visual system decreases dramatically away from the point of gaze. Because of this fact, large bandwidth savings are obtained by matching the resolution of the transmitted image to the fall-off in resolution of the human visual system. We have developed a foveated multiresolution pyramid video coder/decoder which runs in real-time on a general purpose computer (i.e., a Pentium with the Windows 95/NT OS). The current system uses a foveated multiresolution pyramid to code each image into 5 or 6 regions of varying resolution. The user-controlled foveation point is obtained from a pointing device (e.g., a mouse or an eyetracker). Spatial edge artifacts between the regions created by the foveation are eliminated by raised- cosine blending across levels of the pyramid, and by `foveation point interpolation' within levels of the pyramid. Each level of the pyramid is then motion compensated, multiresolution pyramid coded, and thresholded/quantized based upon human contrast sensitivity as a function of spatial frequency and retinal eccentricity. The final lossless coding includes zero-tree coding. Optimal use of foveated imaging requires eye tracking; however, there are many useful applications which do not require eye tracking.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wilson S. Geisler and Jeffrey S. Perry "Real-time foveated multiresolution system for low-bandwidth video communication", Proc. SPIE 3299, Human Vision and Electronic Imaging III, (17 July 1998); https://doi.org/10.1117/12.320120
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Cited by 340 scholarly publications and 8 patents.
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KEYWORDS
Image resolution

Video

Imaging systems

Motion estimation

Spatial frequencies

Image processing

Spatial resolution

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