Paper
14 March 2013 A low complexity halo reduction method for motion compensated frame interpolation
Rui Han, Aidong Men, Jianping Gu
Author Affiliations +
Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 876865 (2013) https://doi.org/10.1117/12.2012837
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore
Abstract
This paper proposed a low complexity halo reduction method for motion compensated frame interpolation which bases on only two successive frames. An improved forward and backward jointing motion estimation method that features a faster convergence speed is utilized to produce the motion vector fields of the original frames. These motion vector fields are retimed to the to-be-interpolated frame to calculate the motion vector field for interpolation and to get the coarse location of the new exposed areas. Through analyzing the relationship of the adjacent motion vectors, two general equations are generated for the covered and uncovered blocks, and occlusion areas are further refined. Finally, unidirectional interpolation and bi-directional interpolation are combined to avoid the halos and block artifacts. Experimental results show that the proposed algorithm achieves much better image quality than that without halo reduction processing.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rui Han, Aidong Men, and Jianping Gu "A low complexity halo reduction method for motion compensated frame interpolation", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876865 (14 March 2013); https://doi.org/10.1117/12.2012837
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KEYWORDS
Motion estimation

Image quality

Image processing

Motion analysis

Lithium

Motion models

Roads

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