Towards a Bayesian Video Denoising Method

The quality provided by image and video sensors increases steadily, and for a fixed spatial resolution the sensor noise has been gradually reduced over the years. However, modern sensors are also capable of acquiring at higher spatial resolutions which are still affected by noise, specially under low lighting conditions. The situation is even worse in video cameras, where the capture time is bounded by the frame rate. The noise in the video degrades its visual quality and hinders its analysis. In this paper we present a new video denoising method extending the non-local Bayes image denoising algorithm. The method does not require motion estimation, and yet preliminary results show that it compares favourably with the state-of-the-art methods in terms of PSNR.

[1]  Jean-Michel Morel,et al.  Implementation of the "Non-Local Bayes" (NL-Bayes) Image Denoising Algorithm , 2013, Image Process. Line.

[2]  Xin Li,et al.  Patch-Based Video Processing: A Variational Bayesian Approach , 2009, IEEE Transactions on Circuits and Systems for Video Technology.

[3]  Karen O. Egiazarian,et al.  Image restoration by sparse 3D transform-domain collaborative filtering , 2008, Electronic Imaging.

[4]  Jean-Michel Morel,et al.  A Nonlocal Bayesian Image Denoising Algorithm , 2013, SIAM J. Imaging Sci..

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

[6]  Karen O. Egiazarian,et al.  Nonlocal Transform-Domain Filter for Volumetric Data Denoising and Reconstruction , 2013, IEEE Transactions on Image Processing.

[7]  Karen O. Egiazarian,et al.  Video denoising by sparse 3D transform-domain collaborative filtering , 2007, 2007 15th European Signal Processing Conference.

[8]  Paul W. Fieguth,et al.  Wavelet Video Denoising with Regularized Multiresolution Motion Estimation , 2006, EURASIP J. Adv. Signal Process..

[9]  David Zhang,et al.  Two-stage image denoising by principal component analysis with local pixel grouping , 2010, Pattern Recognit..

[10]  Michael Elad,et al.  Sparse and redundant representations and motion-estimation-free algorithm for video denoising , 2007, SPIE Optical Engineering + Applications.

[11]  Michael Elad,et al.  Image Sequence Denoising via Sparse and Redundant Representations , 2009, IEEE Transactions on Image Processing.

[12]  Martin J. Wainwright,et al.  Image denoising using scale mixtures of Gaussians in the wavelet domain , 2003, IEEE Trans. Image Process..

[13]  Richard Szeliski,et al.  A Database and Evaluation Methodology for Optical Flow , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[14]  Nasir M. Rajpoot,et al.  Adaptive wavelet restoration of noisy video sequences , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[15]  Aleksandra Pizurica,et al.  Wavelet-Domain Video Denoising Based on Reliability Measures , 2006, IEEE Transactions on Circuits and Systems for Video Technology.

[16]  Stéphane Mallat,et al.  Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity , 2010, IEEE Transactions on Image Processing.

[17]  Karen O. Egiazarian,et al.  Video denoising using separable 4D nonlocal spatiotemporal transforms , 2011, Electronic Imaging.

[18]  Aggelos K. Katsaggelos,et al.  Noise reduction filters for dynamic image sequences: a review , 1995, Proc. IEEE.

[19]  William T. Freeman,et al.  A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation , 2010, ECCV.

[20]  Jean-Michel Morel,et al.  Denoising image sequences does not require motion estimation , 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

[21]  Yair Weiss,et al.  From learning models of natural image patches to whole image restoration , 2011, 2011 International Conference on Computer Vision.

[22]  Ivan W. Selesnick,et al.  Video denoising using 2D and 3D dual-tree complex wavelet transforms , 2003, SPIE Optics + Photonics.

[23]  Michael Elad,et al.  Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.

[24]  Karen O. Egiazarian,et al.  Video Denoising, Deblocking, and Enhancement Through Separable 4-D Nonlocal Spatiotemporal Transforms , 2012, IEEE Transactions on Image Processing.