A Survey on the Removal of Impulse Noise

Image Processing is any form of signal processing for which the input is an image, such as a photograph or a video frame and the output of image processing may be either an image or a set of characteristics or parameters related to the image. Noise elimination is very essential for all image processing applications. Any noise in the image can result in serious errors. Impulsive noise appears as a sprinkle of dark and bright spots. Transmission errors, corrupted pixel elements in the camera sensors, or faulty memory locations can cause impulsive noise. The noise in the image data severely degrades the performances of further image processing operations (such as edge detection, image segmentation, object recognition, etc.). Therefore, it is of vital importance to restore the corruptions in the image data caused by the noise. There are several techniques used for the removal of impulse noise. In this, some of the techniques used for the removal of impulse noise is presented.