  Noise removal from images is a part of image restoration in which we try to
reconstruct or recover an image that has been degraded by using apriori
knowledge of the degradation phenomenon. Noises present in images can be of
various types with their characteristic Probability Distribution Functions
(PDF). Noise removal techniques depend on the kind of noise present in the
image rather than on the image itself. This paper explores the effects of
applying noise reduction filters having similar properties on noisy images with
emphasis on Signal-to-Noise-Ratio (SNR) value estimation for comparing the
results.
