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
fDate :
5/1/2008 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2008.919367
