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SCALESPACE
2009
Springer
14 years 4 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
ICISP
2010
Springer
14 years 1 months ago
Total Variation Minimization with Separable Sensing Operator
Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
Serge L. Shishkin, Hongcheng Wang, Gregory S. Hage...
SIGPRO
2010
154views more  SIGPRO 2010»
13 years 8 months ago
UPRE method for total variation parameter selection
Total Variation (TV) regularization is a popular method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is imp...
Youzuo Lin, Brendt Wohlberg, Hongbin Guo
ICIP
2010
IEEE
13 years 7 months ago
Poisson image reconstruction with total variation regularization
This paper describes an optimization framework for reconstructing nonnegative image intensities from linear projections contaminated with Poisson noise. Such Poisson inverse probl...
Rebecca Willett, Zachary T. Harmany, Roummel F. Ma...
SCALESPACE
2001
Springer
14 years 2 months ago
Total Variation Based Oversampling of Noisy Images
Abstract. We propose a variational model which permits to simultaneously deblur and oversample an image. Indeed, after some recalls on an existing variational model for image overs...
François Malgouyres