Adaptive Window Based Multi Stage Impulse Noise Detection forRemoval of Random Valued Impulse Noise in Digital Images

摘要

Image denoising has an increasing importance in digital image processing as digital images areusually corrupted by different noises during amplification and transmission. Impulse noises are added due tothe errors in the transmission channel and sensors in the path. In this study, a new method for the removal ofRandom Valued Impulse Noise (RVIN) is proposed. The entire process includes noise pixel detection anddenoising. corrupted pixels are detected in the four steps and the median filtering is applied for this noisy pixels.In each step noisy pixels are detected based on the pre-defined threshold values and median filtering is appliedin each step. Noisy pixels are removed in the successive steps. The simulation results show that the proposedmethod shows better performance over compared algorithms both in terms of peak signal to noise ratio andmean absolute error.