Abstract: In this paper, we present an innovative mechanism for image restoration problems in which the image is corrupted by a mixture of additive white Gaussian noise (AWGN) and impulse noise (IN).

Abstract: Expected likelihood (EL) technique for quality assessment of parameter estimates of signals embedded in Gaussian noise is extended in this paper over the case where useful signals are ...

How Noise Can Aid Some Computing Problems. Conventionally, noise is the enemy of computation. However, certain applications actually rely on artificially generated noise. And usin ...