Modify Additive Lee s Filter for Filtering images Corrupted by Film Grain Noise

In many image- processing. applications the noise corrupts the image . is signal dependent, the most widely encountered types being multiplicative -such as film grain noise. Their common feature is that the power of the noise is related to the brightness of the corrupted pixel. This results in brighter areas appearing to be ·noisier than darker areas. In Oiis paper,we· introduce modify additive noise Lee s filter for filtering images corrupted by signal dependent film-grain noise. This by assul!1ing that the noise variance TIOt constant over the · whole image .regions, and can be estimated locally. Results of Modify Lee s filter are compared with tire multiplicative versions Lee s filter standard; both in terms of subjective and objective measures. The modify Lee s filter provides better noisesuppression as indicated by lower normalize mean square error in homogenous image regions and edge regions than the standard Lee s fitter