In this paper, we consider the problem of colour image restoration degraded by a blur function and corrupted by random noise. A new approach implemented by multilayer morphological (MLM) neural network is presented, which uses highly nonlinear morphological neuron for image processing to get a high quality restored colour image. In this paper colour images are considered into RGB distribution. Then each subspace can be regarded as a gray image space and is processed by morphological way used in gray images. This method is attractive because of its low computational overhead, improved performance in terms of signal to noise ratio with less number of neurons. Experimental results are given finally which are encouraging.

Keywords: Image restoration, multilayer morphological (MLM) neural network, morphological neuron, random noise, PSNR, RGB, colour space.