Abstract
In this paper, we propose a new deinterlacing method using motion estimation and compensation of edge regions. Although motion-compensated deinterlacing methods provide significant results in interlaced-to-progressive conversion, they still have undesirable artifacts in fast moving areas and edge regions. The proposed method mitigates the problems by applying the edge region motion estimation and compensation with properly small search range. After filling the missing lines with the conventional spatial and temporal methods, motion estimation and compensation is applied to the predefined edge areas. Experimental results show that the proposed method produces noticeable improvement more than existing motion-compensated deinterlacing methods.
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© 2006 Springer-Verlag Berlin Heidelberg
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Jeong, T., Lee, C. (2006). Motion-Compensated Deinterlacing Using Edge Information. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science, vol 4179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11864349_50
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DOI: https://doi.org/10.1007/11864349_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44630-9
Online ISBN: 978-3-540-44632-3
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