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» Total Variation Based Oversampling of Noisy Images
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SIAMIS
2011
13 years 2 months ago
An Upwind Finite-Difference Method for Total Variation-Based Image Smoothing
In this paper we study finite-difference approximations to the variational problem using the BV smoothness penalty that was introduced in an image smoothing context by Rudin, Osh...
Antonin Chambolle, Stacey Levine, Bradley J. Lucie...
IBPRIA
2007
Springer
14 years 1 months ago
Tracking the Left Ventricle in Ultrasound Images Based on Total Variation Denoising
Abstract. Tracking the Left Ventricle (LV) in ultrasound sequences remains a challenge due to speckle noise, low SNR and lack of contrast. Therefore, it is usually difficult to obt...
Jacinto C. Nascimento, João M. Sanches, Jor...
ICIP
2000
IEEE
13 years 11 months ago
Total Variation Improved Wavelet Thresholding in Image Compression
In this paper, we propose using Partial Differential Equation (PDE) techniques in wavelet based image processing to reduce edge artifacts generated by wavelet thresholding. We emp...
Tony F. Chan, Hao-Min Zhou
ICIP
2008
IEEE
14 years 1 months ago
Adaptive total variation deringing method for image interpolation
This paper presents a new adaptive post-processing algorithm for ringing artifact reduction after image interpolation (upsampling). The algorithm is based on the concept of total ...
Andrey S. Krylov, Andrey V. Nasonov
ICIP
2010
IEEE
13 years 5 months ago
Tensor-based image diffusions derived from generalizations of the Total Variation and Beltrami Functionals
We introduce a novel functional for vector-valued images that generalizes several variational methods, such as the Total Variation and Beltrami Functionals. This functional is bas...
Anastasios Roussos, Petros Maragos