ADAPTIVE DENOISING TECHNIQUE FOR COLOUR IMAGES
S Preethi · International Journal of Research in Engineering and Technology · 2015
In digital image processing noise removal or noise filtering plays an important role, because for meaningful and useful processing images should not be corrupted by noises. In recent years, high quality televisions have become very popular but noise often affects TV broadcasts. Impulse noise corrupts the video during transmission and acquisition of signals. A number of denoising techniques have been introduced to remove impulse noise from images . Linear noise filtering technique does not work well when the noise is non-adaptive in nature and hence a number of non-linear filtering technique where introduced. In nonlinear filtering technique, median filters and its modifications where used to remove noise but it resulted in blurring of images.Therefore here we propose an adaptive digital signal processing approach that can efficiently remove impulse noise from colour image.This algorithm is based on threshold which is adaptive in nature.This algorithm replaces the pixel only if it is found to be noisy pixel otherwise the original pixel is retained thus it results a better filtering technique when compared to median filters and its modified filters.