22 January 1987 Theoretical And Practical Super-Resolution Performance In Simple Processing Of Local Form, Motion And Stereo Disparity.
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Proceedings Volume 0728, Optics, Illumination, and Image Sensing for Machine Vision; (1987) https://doi.org/10.1117/12.937818
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States
Abstract
It is widely known that the human visual system is able to achieve super-resolution under ideal viewing conditions in its sensing of local form, local motion and stereo disparity. The practical limits appear to be something less than 0.1 receptor spacings (pixels) of spatial displacement and better than 1 degree in local orientation. Yet it seems to achieve this performance instantaneously and with utmost ease. Classical computer vision is unable to compare either in absolute capability or apparent simplicity. We have constructed a computer simulation of early human vision with the emphasis being on our particular interpretation of the important neural components and on simplicity. This simulation has now been working well and achieving super-resolution on practical images for some time. This paper presents the theory and practice of performance limits for this simulation. It is shown that theoretical and practical performance limits are in good agreement. Practical performance includes pixel by pixel edge location to within 0.03 pixels, local motion and disparity measurement between pairs of sampled frames pixel by pixel to better than 3% and pixel by pixel orientation measurement to better than 1 degree. All these are achieved by direct pipeline processing with no iterative procedures. They compare very closely with observed limits of human visual performance.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ian Overington, Ian Overington, Philip Greenway, Philip Greenway, } "Theoretical And Practical Super-Resolution Performance In Simple Processing Of Local Form, Motion And Stereo Disparity.", Proc. SPIE 0728, Optics, Illumination, and Image Sensing for Machine Vision, (22 January 1987); doi: 10.1117/12.937818; https://doi.org/10.1117/12.937818
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