New Adaptive Class of Filter Operators for Salt & Pepper Impulse corrupted Images

The paper proposes two new adaptive filtering algorithms for the restoration of salt & pepper impulse corrupted digital images; the Iterative Adaptive Switching Median Filter(IASMF) and the Adaptive Threshold based Median Filter(ATMF). The IASMF works steadily on the corrupted pixels of the noisy image degraded at all noise ratio whereas ATMF works on highly corrupted environments to give acceptable outputs of better visual quality. Experimental results show that the proposed adaptive filters give enhanced subjectiveness and objectiveness in restoring images than many other impulse filters whose outputs show black and white patches with blurred effects at higher noise levels. They are also computationally efficient than many other reputed impulse filters, the ATMF a slightly complex due to its pixel-wise comparison with the valid median. Keywords— Adaptive filter, image restoration, impulse detection, impulse noise, median filter, pseudo median.