Abstract
A novel de-interlacing algorithm based on motion objects is presented in this paper. In this algorithm, natural motion objects, not contrived blocks, are considered as the processing cells, which are accurately detected by a new scheme, and whose matching objects are quickly searched by the immune clonal selection algorithm. This novel algorithm integrates many other de-interlacing methods, so it is more adaptive to various complex video sequences. Moreover, it can perform the motion compensation for objects with the translation, rotation as well as the scaling transform. The experimental results illustrate that compared with the block matching method with full search, the proposed algorithm greatly improve the efficiency and performance.
This work was supported by the NSF of China under grant No.60202004.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Van De Ville, D., Rogge, B., Philips, W., Lemahieu, I.: Deinterlacing Using Fuzzy-based Motion Detection. In: Proc. of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, pp. 263–267 (1999)
Bellers, E.B., de Haan, G.: Advanced De-interlacing Techniques. In: Proc. ProRISC/ IEEE Workshop on Circuits, Systems and Signal Processing, Mierlo, The Netherlands, November 1996, pp. 7–17 (1996)
Lin, S.-F., Chang, Y.-L., Chen, L.-G.: Motion Adaptive Interpolation with Horizontal Motion Detection for Deinterlacing. IEEE Trans. Consumer Electronics 49(4), 1256–1265 (2003)
Nie, Y., Ma, K.-K.: Adaptive rood pattern search for fast block-matching motion estimation. IEEE Trans. Image Pro. 11(12), 1442–1449 (2002)
Neri, A., Colonnese, S., Russo, G., Talone, P.: Automatic Moving Object and Background Separation. Signal Processing 66(2), 219–232 (1998)
Hai-feng, D.: Immune Clonal Computing and Artificial Immune Networks. Postdoctoral Research Work Report of Xidian Univ. (2003) (in Chinese)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gu, J., Gao, X., Li, J. (2004). De-interlacing Algorithm Based on Motion Objects. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30126-4_47
Download citation
DOI: https://doi.org/10.1007/978-3-540-30126-4_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23240-7
Online ISBN: 978-3-540-30126-4
eBook Packages: Springer Book Archive