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In this paper, solution for very high density salt and
pepper impulse noise is proposed. An algorithm is designed
by considering the different parameters that influence the
effect of noise reduction. The proposed algorithm contains
two phases: Phase 1 detects the noisy pixels and Phase 2
replaces identified noisy pixels by nonnoisy estimated values.
Restored Mean Absolute Error (RMAE) is used to measure
and compare the performance of the proposed algorithm. The
algorithm is compared with several nonlinear algorithms
reported in the literature. Experimental results show that the
proposed algorithm produces better results compared to the
existing algorithms.
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