ABSTRACT
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.
Contoulets, wavelets, Image de-noising
Keywords: - Contoulets, Image de-noising, Wavelets