DocumentCode
1117001
Title
A Wavelet-Laplace Variational Technique for Image Deconvolution and Inpainting
Author
Dobrosotskaya, Julia A. ; Bertozzi, Andrea L.
Author_Institution
Univ. of California, Los Angeles
Volume
17
Issue
5
fYear
2008
fDate
5/1/2008 12:00:00 AM
Firstpage
657
Lastpage
663
Abstract
We construct a new variational method for blind deconvolution of images and inpainting, motivated by recent PDE-based techniques involving the Ginzburg-Landau functional, but using more localized wavelet-based methods. We present results for both binary and grayscale images. Comparable speeds are achieved with better sharpness of edges in the reconstruction.
Keywords
Laplace transforms; deconvolution; image reconstruction; variational techniques; wavelet transforms; Ginzburg-Landau functional; PDE; binary-grayscale image; blind image deconvolution; image inpainting; image reconstruction; wavelet-Laplace variational technique; Barcode; binary image; inpainting; wavelet diffusion; Algorithms; Artificial Intelligence; Computer Graphics; Image Enhancement; Image Interpretation, Computer-Assisted; Paintings; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2008.919367
Filename
4480122
Link To Document