Abstract
An overview of the new fast and efficient spatio-temporal video filtering technique was presented in this paper. The new approach is based on digital paths concepts in three dimensional space. The digital paths can explore image structures in spatial as well as temporal coordinates from subsequent frames. Presented technique copes with different video artifacts such as Gaussian, impulsive and grain noise and still preserves and even enhances edges. The new method can even remove JPEG artifacts and video flickering. Preliminary results show that the proposed algorithm can be used both for offline and online processing.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Astola, J., Haavisto, P., Neuovo, Y.: Vector median filters. IEEE Proc. 78, 678â689 (1990)
Bennett, E.P., McMillan, L.: Video enhancement using per-pixel virtual exposures. ACM Trans. Graph. 24(3), 845â852 (2005)
Cuisenaire, O.: Distance transformations: fast algorithms and applications to medical image processing. PhD thesis, Universite Catholique de Louvain (October 1999)
Dubois, E., Sabri, S.: Noise reduction in image sequences using motion-compensated temporal filtering. IEEE Transactions on Communications 32(7), 826â831 (1984)
Lee, S., Maik, V., Jang, J., Shin, J., Paik, J.: Noise-adaptive spatio-temporal filter for real-time noise removal in low light level images. IEEE Transactions on Consumer Electronics 51, 648â653 (2005)
Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12, 629â639 (1990)
Plataniotis, K.N., Androutsos, D., Venetsanopoulos, A.N.: Fuzzy adaptive filters for multichannel image processing. Signal Processing Journal 55(1), 93â106 (1996)
Schmitt, M.: Lecture notes on geodesy and morphological measurements. In: Proceedings of the Summer School on Morphological Image and Signal Processing, Zakopane, Poland, pp. 36â91 (1995)
Smolka, B., Wojciechowski, K.: Random walk approach to image enhancement. Signal Processing 81(3), 465â482 (2001)
Szczepanski, M., Smolka, B., Plataniotis, K.N., Venetsanopoulos, A.N.: On the geodesic paths approach to color image filtering. Signal Processing 83(6), 1309â1342 (2003)
SzczepaĆski, M.: Spatio-temporal fuzzy fdpa filter. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds.) CAIP 2011, Part II. LNCS, vol. 6855, pp. 316â323. Springer, Heidelberg (2011)
Toivanen, P.J.: New geodesic distance transforms for gray scale images. Pattern Recognition Letters 17, 437â450 (1996)
Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: ICCV, pp. 839â846 (1998)
Varghese, G., Wang, Z.: Video denoising based on a spatiotemporal gaussian scale mixture model. IEEE Transactions on Circuits and Systems for Video Technology 20(7), 1032â1040 (2010)
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing 13(4), 600â612 (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
SzczepaĆski, M. (2015). Spatio-temporal Digital Path Approach to Video Enhancement. In: ChoraĆ, R. (eds) Image Processing & Communications Challenges 6. Advances in Intelligent Systems and Computing, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-10662-5_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-10662-5_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10661-8
Online ISBN: 978-3-319-10662-5
eBook Packages: EngineeringEngineering (R0)