Robust fuzzy scheme for Gaussian denoising of 3D color video

We propose a three-dimensional Gaussian denoising scheme for application to color video frames. The time is selected as a third dimension. The algorithm is developed using fuzzy rules and directional techniques. A fuzzy parameter is used for characterization of the difference among pixels, based on gradients and angle of deviations, as well as for motion detection and noise estimation. By using only two frames of a video sequence, it is possible to efficiently decrease Gaussian noise. This filter uses a noise estimator that is spatio-temporally adapted in a local manner, in a novel way using techniques mentioned herein, and proposing a fuzzy methodology that enhances capabilities in noise suppression when compared to other methods employed. We provide simulation results that show the effectiveness of the novel color video denoising algorithm.

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

[2]  Nasser N Peyghambarian,et al.  CMOS switched capacitor liquid crystal driver , 2006 .

[3]  Kimon P. Valavanis,et al.  Noise removal from color images , 1993, J. Intell. Robotic Syst..

[4]  A. Pižurica,et al.  Noise reduction in video sequences using wavelet-domain and temporal filtering , 2004, SPIE Optics East.

[5]  Yu Liu,et al.  Video Denoising Based on a Spatiotemporal Kalman-Bilateral Mixture Model , 2013, TheScientificWorldJournal.

[6]  N. Paragios,et al.  A high-quality video denoising algorithm based on reliable motion estimation , 2010 .

[7]  Volodymyr I. Ponomaryov,et al.  Fuzzy Directional (FD) Filter for impulsive noise reduction in colour video sequences , 2012, J. Vis. Commun. Image Represent..

[8]  N. Bloembergen,et al.  Theory and Experimental Results , 1948 .

[9]  Zhou Wang,et al.  Video Denoising Based on a Spatiotemporal Gaussian Scale Mixture Model , 2010, IEEE Transactions on Circuits and Systems for Video Technology.

[10]  M. Omair Ahmad,et al.  Video Denoising Using Motion Compensated 3-D Wavelet Transform With Integrated Recursive Temporal Filtering , 2010, IEEE Transactions on Circuits and Systems for Video Technology.

[11]  Aleksandra Pizurica,et al.  Fuzzy logic recursive motion detection and denoising of video sequences , 2006, J. Electronic Imaging.

[12]  Oscar C. Au,et al.  Color video denoising based on adaptive color space conversion , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

[13]  K. Plataniotis,et al.  Color Image Processing and Applications , 2000 .

[14]  Volodymyr Ponomaryov,et al.  Adaptive and vector directional processing applied to video colour images , 2006 .

[15]  Peyman Milanfar,et al.  Clustering-Based Denoising With Locally Learned Dictionaries , 2009, IEEE Transactions on Image Processing.

[16]  Panos E. Trahanias,et al.  Directional processing of color images: theory and experimental results , 1996, IEEE Trans. Image Process..

[17]  Shutao Li,et al.  Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion , 2012, IEEE Transactions on Biomedical Engineering.

[18]  Aleksandra Pizurica,et al.  Video denoising by fuzzy motion and detail adaptive averaging , 2008, J. Electronic Imaging.

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

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

[21]  Gerard de Haan,et al.  IC for motion compensated de-interlacing, noise reduction, and picture rate conversion , 1999, 1999 Digest of Technical Papers. International Conference on Consumer Electronics (Cat. No.99CH36277).

[22]  H. Schroder,et al.  A new video noise reduction algorithm using spatial subbands , 1996, Proceedings of Third International Conference on Electronics, Circuits, and Systems.

[23]  Lisimachos P. Kondi,et al.  New Temporal Filtering Scheme to Reduce Delay in Wavelet-Based Video Coding , 2007, IEEE Transactions on Image Processing.

[24]  Karen O. Egiazarian,et al.  Video Denoising Algorithm in Sliding 3D DCT Domain , 2005, ACIVS.

[25]  Michael Elad,et al.  Learning Multiscale Sparse Representations for Image and Video Restoration , 2007, Multiscale Model. Simul..

[26]  Aleksandra Pizurica,et al.  Fuzzy logic recursive change detection for tracking and denoising of video sequences , 2005, IS&T/SPIE Electronic Imaging.

[27]  Fuzzy Logic Fundamentals 3.1 Introduction , 2022 .

[28]  Alessandro Foi,et al.  SPATIO-TEMPORAL POINTWISE ADAPTIVE DENOISING OF VIDEO : 3 D NON-PARAMETRIC REGRESSION APPROACH , 2005 .

[29]  Michael T. Orchard,et al.  Synthesizing processed video by filtering temporal relationships , 2002, IEEE Trans. Image Process..

[30]  Volodymyr I. Ponomaryov,et al.  Real-time 2D–3D filtering using order statistics based algorithms , 2007, Journal of Real-Time Image Processing.

[31]  Aleksandra Pizurica,et al.  Combined Wavelet-Domain and Motion-Compensated Video Denoising Based on Video Codec Motion Estimation Methods , 2009, IEEE Transactions on Circuits and Systems for Video Technology.