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ICIP
2000
IEEE
14 years 7 months ago
Wavelet-Based Reconstruction of Irregularly-Sampled Images: Application to Stereo Imaging
We are concerned with the reconstruction of a regularly-sampled image based on irregularly-spaced samples thereof. We propose a new iterative method based on a wavelet representat...
Carlos Vázquez, Eric Dubois, Janusz Konrad
TMI
2011
127views more  TMI 2011»
13 years 1 months ago
Reconstruction of Large, Irregularly Sampled Multidimensional Images. A Tensor-Based Approach
Abstract—Many practical applications require the reconstruction of images from irregularly sampled data. The spline formalism offers an attractive framework for solving this prob...
Oleksii Vyacheslav Morozov, Michael Unser, Patrick...
IGARSS
2009
13 years 3 months ago
Complex Wavelet Regularization for Solving Inverse Problems in Remote Sensing
Many problems in remote sensing can be modeled as the minimization of the sum of a data term and a prior term. We propose to use a new complex wavelet based prior and an efficient...
Mikael Carlavan, Pierre Weiss, Laure Blanc-F&eacut...
ICASSP
2007
IEEE
13 years 10 months ago
A Framework for wavelet-Based Analysis and Processing of Color Filter Array Images with Applications to Denoising and Demosaicin
This paper presents a new approach to demosaicing of spatially sampled image data observed through a color filter array, in which properties of Smith-Barnwell filterbanks are empl...
Keigo Hirakawa, Xiao-Li Meng, Patrick J. Wolfe
DGCI
2003
Springer
13 years 11 months ago
Shape Preserving Digitization of Ideal and Blurred Binary Images
In order to make image analysis methods more reliable it is important to analyse to what extend shape information is preserved during image digitization. Most existing approaches t...
Ullrich Köthe, Peer Stelldinger