Interpolation based filter for images highly corrupted by impulse noise
Quanhua Tang, Yan Zhou · 2008
In this paper, a novel filtering based on Lagrange interpolation techniques is proposed for detail preserving restoration of impulse noise corrupted images. For the corrupted pixel, we use a four direction interleaved interpolation value to replace the corrupted value. The performance of the proposed operator is tested for different test images corrupted at various noise densities. Experimental results show that the proposed filter can not only provide better performance of suppressing impulse but also preserve more detail features. It is also demonstrated preferable performance in suppressing different noise density from 10% to 90%.