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Motion Adaptive Temporal-Spatial Noise Reduction Scheme with Separated Pre- and Post-Spatial Filter  

Kim, Sung-Deuk (Dept. of IT & Electronics Education, Andong National University)
Lim, Kyoung-Won (Digital TV Lab., LG Electronics, Inc.)
Publication Information
Abstract
A motion adaptive video noise reduction scheme is proposed by cascading a temporal filter and a spatial filter. After a noise-robust motion detection is performed with a pre-spatial filter, the strength of the motion adaptive temporal filter is controlled by the amount of temporal movement. In order to fully utilize the temporal correlation of video signal, noisy input image is processed first by the temporal filter, therefore, image details of temporally stationary region are quite well preserved while undesired noises are suppressed. In contrast to the pre-spatial filter used for the robust motion detection, the cascaded post-spatial filter removes the remained noises by considering the strength of the temporal filter and the spatial self-similarity search results obtained from the pre-spatial filter.
Keywords
noise reduction; motion adaptive filter; spatio-temporal filter;
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  • Reference
1 J. S. Lim, "Two-dimensional signal and image processing," Prentice-Hall, 1990
2 G. de Haan, T. G. Kwaaitaal-Spassova, and O. A. Ojo, "Automatic 2-D and 3-D noise filtering for television receivers," Proc. Int. Workshop HDTV '94, Oct. 1994
3 A. C. Kokaram, "Motion picture restoration," Ph.D thesis, Cambridge University Engineering Department, May 1993.
4 E. Dubois and S. Sabri, "Noise reduction in image sequences using motion-compensated temporal filtering," IEEE Trans. Communications, vol. COM-32, no. 7, pp. 826-832, July 1984
5 D. Tschumperle. "Fast anisotropic smoothing of multi-valued images using curvature-preserving PDE's," International Journal of Computer Vision (IJCV), vol. 68, no. 1, pp. 65-82, June 2006   DOI   ScienceOn
6 C. Tomasi and R. Manduchi, "Bilateral filtering for gray and color images," Proc. International Conference Computer Vision (ICCV), pp. 839-846, Jan. 1998   DOI
7 S. D. Kim and J. B. Ra, "Efficient block-based video encoder embedding a Wiener filter for noisy video sequences," Journal of Visual Communication and Image Representation, vol. 14, pp. 22-40, March 2003   DOI   ScienceOn
8 A. Buades, B. Coll, and J.-M. Morel, "A non-local algorithm for image denoising," Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 60-65, June 2005
9 G. de Haan, T. G. Kwaaitaal-Spassova, M. Larragy, and O. A. Ojo, "Memory integrated noise reduction IC for television," IEEE Trans. Consumer Electronics, vol. 42. no. 2, pp. 175-181, May 1996   DOI   ScienceOn
10 G. Ramponi, "The rational filter for image smoothing," IEEE Signal Processing Letters, vol. 3, no. 3, pp. 63-65, March 1996   DOI   ScienceOn
11 M. Ghazal, A. Amer, and A. Ghrayeb, "Homogeneity-based directional sigma filtering of video noise," Proc. Int. Conf. Image Processing (ICIP), vol.1, pp. 97-100, Sept. 2005