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TIP
2008
109views more  TIP 2008»
13 years 4 months ago
A Wavelet-Laplace Variational Technique for Image Deconvolution and Inpainting
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,...
Julia A. Dobrosotskaya, Andrea L. Bertozzi

Source Code
1919views
14 years 4 months ago
tvreg: Variational Imaging Methods for Denoising, Deconvolution, Inpainting, and Segmentation
TV-based image restoration with options for deconvolution, inpainting, and different noise models. Chan-Vese segmentation also included. Usable from C, C++, or MATLAB.
ICPR
2006
IEEE
14 years 5 months ago
Adaptive variational sinogram interpolation of sparsely sampled CT data
We present various kinds of variational PDE based methods to interpolate missing sinogram data for tomographic image reconstruction. Using the observed sinogram data we inpaint th...
Harald Köstler, Marcus Prümmer, Ulrich R...
SIP
2007
13 years 6 months ago
Matting through variational inpainting
While current matting algorithms work very well for some natural images, their performance is questionable in the presence of sharp discontinuities in the foreground and backgroun...
Kangyu Ni, Sheshadri R. Thiruvenkadam, Tony F. Cha...
SCALESPACE
2009
Springer
13 years 11 months ago
L0-Norm and Total Variation for Wavelet Inpainting
Abstract. In this paper, we suggest an algorithm to recover an image whose wavelet coefficients are partially lost. We propose a wavelet inpainting model by using L0-norm and the t...
Andy C. Yau, Xue-Cheng Tai, Michael K. Ng