Image processing using fast filling-in mechanisms

Simon Hong

Cognitive and Neural Systems, Boston University

2001. 6. 18

I will be talking about two isomorphic fast filling-in mechanisms and the simulations: The first one, called Parallel Diffusion (PD), is an extension of the model by Grossberg and Todorovicą„ (1988). The second one, called Gated Blurring (GB), is based on a feedforward blurring. Based just on the speed of diffusion, PD speeds up the diffusion up to one hundred times faster than the previously standard mechanism. The GB speeds up the filling-in process even further and also alleviates the problem of brightness bowing by a signal boosting mechanism called Receptive Field Normalization (RFN). The simulation results of the two models show that both of the models are capable of explaining many known psychophysical data. Recommended reading (understanding the basic concept of the following paper is okay): Grossberg S, Todorovicą„ D, (1988), Neural dynamics of 1-D and 2-D brightness perception: a unified model of classical and recent phenomena, Percept Psychophys Mar;43(3):241-77.

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Last update: June 18, 2001