Date Added: Apr 2013
Noise can be unavoidable in communication networks, and its presence can have disastrous effects upon the data being sent. The main approach is to detect different type of noise in corrupted images. There are two steps in this process that has the ability to handle the real time applications due to its computational simplicity. The algorithm detects the type of noise in the first stage and handles error correction efficiently in the second stage. This algorithm can accurately detect and compensate for various noise sources common in multimedia applications, such as impulse, Gaussian, and uniform noise, with minimal loss to the integrity of the original digital image.