Efficient Image Generation Using Localized Frequency Components Matched to Human Vision
Final rept. Oct 1987-Feb 1990
DAYTON UNIV OH RESEARCH INST
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Following a brief tutorial in the general area of image analysis, a formalism is presented for using the generalized Gabor approach to image representation in the combined frequency-position space. This approach uses elementary functions to which the human visual system is particularly sensitive and which are efficient for the analysis and synthesis of visual imagery. Among the topics covered are the complementarity of position and spatial frequency in the Gabor scheme, and the use of an auxiliary function to render the nonorthogonal Gabor elementary functions transformable. The formalism is in particular compatible with the implementation of a variable resolution system wherein image information is nonuniformity distributed across the visual field in accordance with the human visual systems ability to process it. A possible hardware implementation of such a system is described and some potential problems associated with its development are discussed.
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