A New Image Denosing Method
Quanhua Tang, Jun Ye, Jine Lei, Yan Jun Zhou · 2008
It's difficult to filter an image while protecting its detail. In this paper, a novel filter is proposed for detail preserving restoration of images. Corrupted pixels are detected by a multi-scale way. For the corrupted pixels, we use a kind of four direction interleaved interpolation value to replace their 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 noise but also preserve more detail features. It is also demonstrated preferable performance in suppressing different impulse noise density from 10% to 90%.