A new edge preserved technique using iterative median filter

Median filters are known to overtake adaptive median filters in the removal of impulse noise due to their high and low amount of the pixel values. In this paper, we propose two modifications to improve the image using DTBID and EPIF concepts. The iterative median filter performance shows the preserved eMedian filters are known to overtake adaptive median filters in the removal of impulse noise due to their high and low amount of the pixel values. In this paper, we propose two modifications to improve the image using DTBID and EPIF concepts. The iterative median filter performance shows the preserved edges and also removing the random valued impulse noise using proposed DTBID method. Extremist analysis shows the fight of the would-be modifications in producing enhanced images than the DTBID processes.dges and also removing the random valued impulse noise using proposed DTBID method. Extremist analysis shows the fight of the would-be modifications in producing enhanced images than the DTBID processes.