Title :
Image De-blurring Using Shearlets
Author :
Firouzmanesh, Amirhossein ; Boulanger, Pierre
Author_Institution :
Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
In this paper a deblurring algorithm is proposed that takes advantage of the properties of the shear let transform. Shear lets have mathematically been proven to be more efficient than traditional wavelets for representing distributed discontinuities such as edges. The proposed method extends the state of art Forward algorithm by incorporating shear lets. Experimental results show a significant improvement over some important deblurring algorithms found in the literature.
Keywords :
image restoration; transforms; distributed discontinuities; forward algorithm; image deblurring; shearlet transform; Deconvolution; Equations; Image reconstruction; PSNR; Transforms; Wiener filters; De-convolution; Image De-blurring; Shearlet Transform;
Conference_Titel :
Computer and Robot Vision (CRV), 2012 Ninth Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4673-1271-4
DOI :
10.1109/CRV.2012.30
