A possible mechanism of stochastic resonance in the light of an extra-classical receptive field model of retinal ganglion cells |
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Authors: | Kuntal Ghosh Sandip Sarkar Kamales Bhaumik |
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Institution: | (1) Machine Intelligence Unit, Center for Soft Computing Research, Indian Statistical Institute, 203 B. T. Road, Kolkata, 700108, India;(2) Microelectronics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata, 700064, India;(3) West Bengal State University, Barasat, North 24 Parganas, West Bengal, India |
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Abstract: | Traditionally the intensity discontinuities in an image are detected as zero-crossings of the second derivative with the help
of a Laplacian of Gaussian (LOG) operator that models the receptive field of retinal Ganglion cells. Such zero-crossings supposedly
form a raw primal sketch edge map of the external world in the primary visual cortex of the brain. Based on a new operator
which is a linear combination of the LOG and a Dirac-delta function that models the extra-classical receptive field of the
ganglion cells, we find that zero-crossing points thus generated, store in presence of noise, apart from the edge information,
the shading information of the image in the form of density variation of these points. We have also shown that an optimal
image contrast produces best mapping of the shading information to such zero-crossing density variation for a given amount
of noise contamination. Furthermore, we have observed that an optimal amount of noise contamination reproduces the minimum
optimal contrast and hence gives rise to the best representation of the original image. We show that this phenomenon is similar
in nature to that of stochastic resonance phenomenon observed in psychophysical experiments. |
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Keywords: | Extra-classical receptive field Stochastic resonance Zero-crossing map Low-level vision |
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