International Journal of Advanced Networking and Applications

Abhay P. Singh ¹, Abhinav Mishra ², Ashish Khare ³

Affiliations
1 Institute of Engineering and Technology, MIA, Alwar-University of Allahabad, Allahabad-211001, Uttar Pradesh, IN
2 DOEACC Center, MMM Engineering College Campus, Gorakhpur, Uttar Pradesh, IN
3 J. K Institute of Applied Physics and Technology, University of Allahabad, Allahabad-21102, UP, IN

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.

Keywords

Contourlets, Image De-Noising, Wavelets.

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