Directional Correlation-Dependent Filtering Technique for Removal of Impulse Noise

This paper aims to obtain an integrated and consecutive original image from noisy image by a directional correlation-dependent filtering technique, for removing salt and pepper noise from corrupted images. A comparative study is made on the various image denoising methods and extensive experimental results demonstrate that directional correlation-dependent filtering algorithm can obtain better performances in terms of PSNR value compare to other impulse denoising techniques. The proposed algorithm can preserve edges very well while removing impulse noise and is very suitable to be applied to many real-time applications.