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The generalized Gabor scheme of image representation in biological and machine vision

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2 Author(s)
M. Porat ; Dept. of Electr. & Eng., Technion, Haifa, Israel ; Y. Y. Zeevi

A scheme suitable for visual information representation in a combined frequency-position space is investigated through image decomposition into a finite set of two-dimensional Gabor elementary functions (GEF). The scheme is generalized to account for the position-dependent Gabor-sampling rate, oversampling, logarithmic frequency scaling and phase-quantization characteristic of the visual system. Comparison of reconstructed signal highlights the advantages of the generalized Gabor scheme in coding typical bandlimited images. It is shown that there exists a tradeoff between the number of frequency components used per position and the number of such clusters (sampling rate) utilized along the spatial coordinate

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IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:10 ,  Issue: 4 )