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Deinterlacing based on scene change and content characteristics detection
Author(s): Yuan Huang; Qian Huang; Yanping Li; Feng Ye; Yanfang Wang
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Paper Abstract

This paper proposes a deinterlacing algorithm based on scene change and content characteristics detection. Firstly, scene changes and video content characteristics are detected. Secondly, optimized motion estimation is performed based on scene change detection results. Thirdly, the image blocks are locally partitioned and different interpolation methods are applied. Experimental results show that the algorithm can not only improve the vertical image resolution with lower algorithm complexity, but also obtain high-quality progressive sequences for interlaced video sequences of different video content.

Paper Details

Date Published: 14 August 2019
PDF: 9 pages
Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111792A (14 August 2019); doi: 10.1117/12.2540337
Show Author Affiliations
Yuan Huang, Hohai Univ. (China)
Qian Huang, Hohai Univ. (China)
Nanjing Huiying Electronics Technology Corp. (China)
Yanping Li, Hohai Univ. (China)
Feng Ye, Hohai Univ. (China)
Nanjing Longyuan Micro-Electronics Co. (China)
Yanfang Wang, Hohai Univ. (China)


Published in SPIE Proceedings Vol. 11179:
Eleventh International Conference on Digital Image Processing (ICDIP 2019)
Jenq-Neng Hwang; Xudong Jiang, Editor(s)

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