  Removing noise from the any processed images is very important. Noise should
be removed in such a way that important information of image should be
preserved. A decisionbased nonlinear algorithm for elimination of band lines,
drop lines, mark, band lost and impulses in images is presented in this paper.
The algorithm performs two simultaneous operations, namely, detection of
corrupted pixels and evaluation of new pixels for replacing the corrupted
pixels. Removal of these artifacts is achieved without damaging edges and
details. However, the restricted window size renders median operation less
effective whenever noise is excessive in that case the proposed algorithm
automatically switches to mean filtering. The performance of the algorithm is
analyzed in terms of Mean Square Error [MSE], Peak-Signal-to-Noise Ratio
[PSNR], Signal-to-Noise Ratio Improved [SNRI], Percentage Of Noise Attenuated
[PONA], and Percentage Of Spoiled Pixels [POSP]. This is compared with standard
algorithms already in use and improved performance of the proposed algorithm is
presented. The advantage of the proposed algorithm is that a single algorithm
can replace several independent algorithms which are required for removal of
different artifacts.
