How to Compare Noisy Patches? Patch Similarity Beyond Gaussian Noise, International Journal of Computer Vision, vol.21, issue.11, pp.86-102, 2012. ,
DOI : 10.1007/s11263-012-0519-6
URL : https://hal.archives-ouvertes.fr/hal-00672357
The Elements of Statistical Learning, 2009. ,
Efficient Nonlocal Means for Denoising of Textural Patterns, IEEE Transactions on Image Processing, vol.17, issue.7, pp.1083-1092, 2008. ,
DOI : 10.1109/TIP.2008.924281
The importance of encoding versus training with sparse coding and vector quantization, Proc. of the 28th ICML, 2011. ,
<tex>$rm K$</tex>-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation, IEEE Transactions on Signal Processing, vol.54, issue.11, pp.4311-4322, 2006. ,
DOI : 10.1109/TSP.2006.881199
Dictionary Learning, IEEE Signal Processing Magazine, vol.28, issue.2, pp.27-38, 2011. ,
DOI : 10.1109/MSP.2010.939537
A Review of Image Denoising Algorithms, with a New One, Multiscale Modeling & Simulation, vol.4, issue.2, pp.490-530, 2005. ,
DOI : 10.1137/040616024
URL : https://hal.archives-ouvertes.fr/hal-00271141
Patch-Based Near-Optimal Image Denoising, IEEE Transactions on Image Processing, vol.21, issue.4, pp.1635-1649, 2012. ,
DOI : 10.1109/TIP.2011.2172799
Virtual Super Resolution of Scale Invariant Textured Images Using Multifractal Stochastic Processes, Journal of Mathematical Imaging and Vision, vol.89, issue.8, pp.28-44, 2011. ,
DOI : 10.1007/s10851-010-0222-6
URL : https://hal.archives-ouvertes.fr/hal-00707631