Frame rate up conversion via image fusion based on variational approach

In this paper, we propose a novel framework for motion compensated frame rate up conversion. The proposed algorithm consists of two steps: generation of interpolated images and fusion of them. In the first step, we generate four different interpolated frames between the given two frames. Those frame...

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Bibliographic Details
Published in2010 IEEE International Conference on Image Processing pp. 885 - 888
Main Authors Won Hee Lee, Yunjun Choi, Kyuha Choi, Jong Beom Ra
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2010
Subjects
Computer vision
frame rate up conversion
fusion
Image motion analysis
Integrated optics
Optical filters
optical flow
Optical imaging
Pixel
PSNR
variational method
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Summary:In this paper, we propose a novel framework for motion compensated frame rate up conversion. The proposed algorithm consists of two steps: generation of interpolated images and fusion of them. In the first step, we generate four different interpolated frames between the given two frames. Those frames are obtained through motion compensated interpolation, by using a different set of optical flow fields that are estimated from the four consecutive frames. In the second step, we fuse the four interpolated images into one by using a variational structure so that we can effectively remove outliers appearing due to false optical flows in occlusion regions. Experimental results demonstrate that the proposed algorithm improves objective and subjective visual qualities compared to the existing algorithms.
ISBN:9781424479924
1424479924
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2010.5654075