Modify Additive Lee's Filter for Filtering images Corrupted by Film Grain Noise | ||
| Journal of College of Education | ||
| Article 1, Volume 0, Issue 6, May 2017, Pages 379-390 | ||
| Authors | ||
| Ali Abid D. Al -ZukY; Baitlan K. Hamccl; Ahmad A.Darlveeslt; Hlicllr Jarvacl M. Al- tan | ||
| Abstract | ||
| In m:rny intagc- proccssing :rpplic:rtions the noise corrttpts the inr:rge ii signal dcpcndcnt, t5c nrost n'idely cttcounterccl typcs being nrultiplicativc suclt ils lilnr grain noisc. Ttt1i1 contnrolr feature is that the poN'cr of the noise is rcl:rted to thc brightncss of the corrupted pixel. This results in brighter ilreils :rppelring to be noisier than darkcr areils. In tliis pilper,.lvc introduce modify aclditivc noise Lec's filter for filtcring inrages corruptcd by signal depenclent film-gr:rin noise. This by assuming that the noise variilncc not constant over the rvhole image regions, ancl can be estimatcd localll'. Results of Mddify Lee's filter are conlpared w'ith the multiplicatil'e versions Lee's fitter standard, both in terms of subjective and objective measures. The modify Lee's filter provides better noise suppression as inclicatecl by lower normalize mean square error in homogenous image regions and edge regions than the stanclarcl Lee's filter. | ||
| Keywords | ||
| Digital filter; Noise Reduction; Smoothing; film; grain; Lee | ||
|
Statistics Article View: 63 PDF Download: 49 |
||