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Received: 2008-03-19

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Journal of Zhejiang University SCIENCE A 2008 Vol.9 No.12 P.1621~1630

http://doi.org/10.1631/jzus.A0820200


Frame rate up-conversion using multiresolution critical point filters with occlusion refinement


Author(s):  Yi-xiong ZHANG, Wei-dong WANG, Peng LIU, Qing-dong YAO

Affiliation(s):  Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   zjuzyx@isee.zju.edu.cn, wdwang2001@yahoo.com.cn

Key Words:  Frame rate up-conversion, Multiresolution critical-point filters, Occlusion refinement


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Yi-xiong ZHANG, Wei-dong WANG, Peng LIU, Qing-dong YAO. Frame rate up-conversion using multiresolution critical point filters with occlusion refinement[J]. Journal of Zhejiang University Science A, 2008, 9(12): 1621~1630.

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%A Peng LIU
%A Qing-dong YAO
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A1 - Peng LIU
A1 - Qing-dong YAO
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DOI - 10.1631/jzus.A0820200


Abstract: 
In this paper, multiresolution critical-point filters (CPFs) are employed to image matching for frame rate up-conversion (FRUC). By CPF matching, the dense motion field can be obtained for representing object motions accurately. However, the elastic motion model does not hold in the areas of occlusion, thus resulting in blur artifacts in the interpolated frame. To tackle this problem, we propose a new FRUC scheme using an occlusion refined CPF matching interpolation (ORCMI). In the proposed approach, the occlusion refinement is based on a bidirectional CPF mapping. And the intermediate frames are generated by the bidirectional interpolation for non-occlusion pixels combined with unidirectional projection for the occlusion pixels. Experimental results show that ORCMI improves the visual quality of the interpolated frames, especially at the occlusion regions. Compared to the block matching based FRUC algorithm, ORCMI can achieve 1~2 dB PSNR gain for standard video sequences.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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