Image De-Noising Using Contoulets (A Comparative Study with Wavelets)

Although the wavelet transform is powerful in representing images containing smooth areas separated with edges, it cannot perform well when the edges are smooth curves. Wavelets are less effective for images where singularities are located both in space and directions. The contourlet transform is one of the new geometrical image transforms, which represents images containing contours and textures. New developments in directional transforms, known as contourlets in two dimensions, which have the property of capturing contours. The present paper is a discussion of image de-noised by wavelet and contourlet transform.