Reduction of Impulse Noise Using Improved Weighted Average Filter

Image processing is methodology to convert an image into digital form. The digital form of data is less complex and easy to interpolate and give an enhanced image or to extract some useful information from it. By this Images are often corrupted by impulse noise during acquisition and transmission. These noises affect the information which is present in the images. There are several algorithms to enhance the image by reducing the noisy pixels. Image enhancement is mainly done by using filters. In this, efficient weighted average filter is employed to further increase the quality by identifying the corrupted pixels. The corrupted pixels are identified by the nearest interpolation method. After identifying, it is transformed in to denoised image by applying the efficient weighted average filter. Now the image restoration is done and compared with various images which have different noise densities to analyze the weighted averagefilter.