Comparative Performance Analysis of SALT and PEPPER Noise Removal
Sakshi Tiwari · IOSR Journal of Computer Engineering · 2014
Noise is an important factor which when get added to an image reduces its quality and appearance.So in order to enhance the image qualities, it has to be removed with preserving the textural information and structural features of image.There are different types of noises exist who corrupt the images.Selection of the de-noising algorithm is application dependent.Noise removal from a contaminated image signal is a prominent field of research and many researchers have suggested a large number of algorithms and compared their results.The main thrust on all such algorithms is to remove impulsive noise while preserving image details.These schemes differ in their basic methodologies applied to suppress noise.Some schemes utilize detection of impulsive noise followed by filtering whereas others filter all the pixels irrespective of corruption.In this section an attempt has been made for a detail literature review on the reported articles and studies their performances through computer simulation.We have classified the schemes based on the characteristics of the filtering schemes and described are below.At the end of paper, a comparative study of all these algorithms in context of performance evaluation is done and concluded with several promising directions for future research work.