A wavelet-laplace variational technique for image deconvolution and inpainting

被引：107
|
作者：
Dobrosotskaya, Julia A. [1 ]
Bertozzi, Andrea L. [1 ]
机构：
[1] Univ Calif Los Angeles, Dept Math, Los Angeles, CA 90095 USA
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 2008年 / 17卷 / 05期
基金：
美国国家科学基金会;
关键词：
barcode; binary image; inpainting; wavelet diffusion;
D O I：
10.1109/TIP.2008.919367
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：657 / 663
页数：7
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