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» Noisy Image Decomposition: A New Structure, Texture and Nois...
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JMIV
2007
114views more  JMIV 2007»
13 years 4 months ago
Noisy Image Decomposition: A New Structure, Texture and Noise Model Based on Local Adaptivity
These last few years, image decomposition algorithms have been proposed to split an image into two parts: the structures and the textures. These algorithms are not adapted to the ...
Jérôme Gilles
SCALESPACE
2007
Springer
13 years 11 months ago
Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising
Abstract. Natural images consist of texture, structure and smooth regions and this makes the task of filtering challenging mainly when it aims at edge and texture preservation. In...
Noura Azzabou, Nikos Paragios, Frederic Guichard
EMMCVPR
2009
Springer
13 years 11 months ago
Locally Parallel Textures Modeling with Adapted Hilbert Spaces
This article 3 presents a new adaptive texture model. Locally parallel oscillating patterns are modeled with a weighted Hilbert space defined over local Fourier coefficients. The ...
Pierre Maurel, Jean-François Aujol, Gabriel...
IH
1999
Springer
13 years 9 months ago
A Stochastic Approach to Content Adaptive Digital Image Watermarking
This paper presents a new stochastic approach which can be applied with di erent watermark techniques. The approach is based on the computation of a Noise Visibility Function NVF...
Sviatoslav Voloshynovskiy, Alexander Herrigel, Naz...
TMI
2002
248views more  TMI 2002»
13 years 4 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson