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 wheresingularities are located both in space and directions. The contourlet transform is one of the new geometricalimage transforms, which represents images containing contours and textures. New developments in directionaltransforms, known as contourlets in two dimensions, which have the property of capturing contours. The presentpaper is a discussion of image de-noised by wavelet and contourlet transform.Contoulets, wavelets, Image de-noising.
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