Performance Inspection of Denoising Method Implemented by Decision Based Adaptive Median Filter for Using under RVIN Condition

In 2010, the DBAMF (decision based adaptive median filter) denoising method based on ROAD that was proposed for eradicating an impulsive noise because ROAD (Rank Order Absolute Difference) has the obviously high performance in noisy classification and is mathematically developed from similar measurement method in computer vision for identifying whether the pixel is contaminated by impulsive noise or the noise-free. For that reason, the scholar thesis article intents to inspect the performance of the denosing method implemented by DBAMF for RVIN (Random Value Implosive Noise) condition. For inspecting the performance and its impediment of the DBAMF denoising method, the two worldwide assessment images integrated of Girl and Airplane has been manipulated in these performance inspections under RVIN condition by originally denigrated by accumulating the RIVN at generous power. Later, every denigrated image is enhanced by the denosing method implemented by DBAMF. For indicating the DBAMF performance, the classical SMF (Standard Median Filter) and AMF (Adaptive Median Filter) are comparatively integrated in this performance inspection.