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» Complexity-Regularized Image Denoising
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ICIP
2009
IEEE
14 years 8 months ago
Dequantizing Compressed Sensing With Non-gaussian Constraints
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...
CIS
2006
Springer
13 years 11 months ago
Variational Decomposition Model in Besov Spaces and Negative Hilbert-Sobolev Spaces
In this paper, we propose a new variational decomposition model which splits an image into two components: a first one containing the structure and a second one the texture or nois...
Min Li, Xiangchu Feng
MVA
2000
119views Computer Vision» more  MVA 2000»
13 years 9 months ago
Structural Stability Analysis for Texture Recognition
The tree-structured wavelet transform has received a lot of attention and has found successful applications in signal denoising, image coding, image analysis, etc. In this paper, ...
Yukinobu Miyamoto, Mahdad Nouri Shirazi, Kuniaki U...
ICPR
2010
IEEE
13 years 5 months ago
Local Jet Based Similarity for NL-Means Filtering
Reducing the dimension of local descriptors in images is useful to perform pixels comparison faster. We show here that, for enhancing and optimising the computation of the NL-mean...
Antoine Manzanera
SIAMIS
2008
141views more  SIAMIS 2008»
13 years 7 months ago
A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model
We are motivated by a recently developed nonlinear inverse scale space method for image denoising [5, 6], whereby noise can be removed with minimal degradation. The additive noise ...
Jianing Shi, Stanley Osher