From patches to pixels in Non-Local methods: Weighted-average reprojection

Since their introduction in denoising, the family of non local methods, whose Non-Local Means (NL-Means) is the most famous member, has proved its ability to challenge other powerful methods such as wavelet based approaches or variational techniques. Though simple to implement and efficient in practice, the classical NL-Means suffers from ringing artifacts around edges. In this paper, we present an easy to implement and time efficient modification of the NL-means based on a better reprojection from the patches space to the original (image) pixel space. We illustrate the performance of our method on a toy example and on some classical images.

[1]  Dimitri Van De Ville,et al.  SURE-Based Non-Local Means , 2009, IEEE Signal Processing Letters.

[2]  Yong Cheng,et al.  Comments on "Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering" , 2011, IEEE Trans. Image Process..

[3]  Alessandro Foi,et al.  Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.

[4]  Jean-Michel Morel,et al.  A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..

[5]  Joseph Salmon,et al.  On Two Parameters for Denoising With Non-Local Means , 2010, IEEE Signal Processing Letters.

[6]  J. Polzehl,et al.  Image denoising: Pointwise adaptive approach , 2003 .

[7]  Guillermo Sapiro,et al.  Non-local sparse models for image restoration , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[8]  Sung Yong Shin,et al.  On pixel-based texture synthesis by non-parametric sampling , 2006, Comput. Graph..

[9]  Charles Kervrann,et al.  Optimal Spatial Adaptation for Patch-Based Image Denoising , 2006, IEEE Transactions on Image Processing.

[10]  Nikos Paragios,et al.  Image Denoising Based on Adapted Dictionary Computation , 2007, 2007 IEEE International Conference on Image Processing.

[11]  Jean-Michel Morel,et al.  Nonlocal Image and Movie Denoising , 2008, International Journal of Computer Vision.

[12]  Patrick Pérez,et al.  Object removal by exemplar-based inpainting , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[13]  Aleksandra Pizurica,et al.  An improved non-local denoising algorithm , 2008 .

[14]  Pierrick Coupé,et al.  Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal , 2007, SSVM.