Mathematical Imaging is currently a rapidly growing field in applied mathematics, with an
increasing need for theoretical mathematics. This book, the second of two volumes …

A new edge-guided morphological filter is proposed to sharpen digital images. This is done
by detecting the positions of the edges and then applying a class of morphological filtering …

An extra-classical receptive field (ECRF) based mid-level model of visual processing which
we refer to as the neuro-visually inspired model of figure-ground segregation (NFGS) is …

The present work is aimed at understanding and explaining some of the aspects of visual
signal processing at the retinal level while exploiting the same towards the development of …

In this paper, a new low-pass FIR filter design technique for achieving variable stopband
attenuation without altering the passband and stopband edges, is proposed. The filter …

Evidences favouring a dynamic receptive field model of retinal ganglion cells and the cells of
Lateral Geniculate Nucleus (LGN) have been presented based on the perception of some …

We demonstrate, through simulation, that a simple centre surround receptive field of vision is
capable of exhibiting stochastic resonance. We also show that this could be used to model …

Abstract The Spotlight Models of attention that rely upon a bottom-up approach specifically
through the dorsal pathways, can be modeled using multi-scale Gaussian pyramids with …

Object recognition is one of the most crucial and yet least understood aspects of visual
perception. A simple answer to what we mean by visually recognizing an object may be …

We demonstrate the ability of centre surround model for simulating the enhancement of
contrast sensitivity through stochastic resonance observed in psychophysical experiments …