Impulse noise removal from colour images using fuzzy genetic algorithm
K.K. Anisha, M. Wilscy · International Journal of Signal and Imaging Systems Engineering · 2015
Noise removal from colour images is an important pre-processing step in any task involving analysis of these images. Many methods have been proposed for noise removal, but they are either inefficient or quite complicated. This paper presents a simple method for removing impulse noise from colour images, where a set of standard filters are successively applied on the noisy image. The type and the order of application of these filters are determined using fuzzy genetic algorithm. The results of simulations performed on a set of standard test images for a wide range of noise corruption levels shows that the proposed method outperforms the standard procedures both visually and in terms of objective quality measures such as Peak Signal-to-Noise Ratio (PSNR), Image Quality Index (IQI) and Mean Absolute Error (MAE).