An Efficient Technique for the Removal of Random Valued Impulse Noise in Digital Images

Digital image processing has important in many areas such as digital telecommunication, remote sensing, robotics, graphic printing, and medical imaging, defense and security applications[1]. During the transmission and acquisition, images are corrupted by the different type of noise. Because of the noise, quality of image is reduced and other features like edge sharpness and pattern recognition are also badly affected. There may be different types of noise like Gaussian type noise, impulse type noise, shot noise. The impulse noise that affects the contents of the image[2]. Impulse noise is normally produced as a result of various reasons, including electromagnetic interference, errors and scratches on recording disks, and erroneous synchronization in digital recording and communication equipment. It also occurs during image acquisition, transmission due to malfunctioning of pixel elements in the camera sensors, faulty memory locations, and timing errors in analog-to-digital conversion and bit errors during transmission.