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Frame rate upconversion using pyramid structure and dense motion vector fields

[+] Author Affiliations
Jun-Geon Kim

Kyung Hee University, Department of Electronics and Radio Engineering, 1732, Deogyeong-daero, Yongin-si, Gyeonggi-do, Republic of Korea

Daeho Lee

Kyung Hee University, Humanitas College, 1732, Deogyeong-daero, Yongin-si, Gyeonggi-do, Republic of Korea

J. Electron. Imaging. 25(3), 033004 (May 20, 2016). doi:10.1117/1.JEI.25.3.033004
History: Received December 26, 2015; Accepted April 26, 2016
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Abstract.  We propose a frame rate upconversion (FRUC) method using pyramid structures (PS) and dense motion vector fields (MVFs). In FRUC processes, performance is dominantly dependent on motion compensation, thus motion vectors (MVs) must be precisely estimated. Variable sizes of blocks and large search ranges are needed to estimate the MVs of large objects and large movements; however, we use PS and dense MVFs to estimate MVs for various conditions. In the PS, we first estimate MVs on level 0, which is the most reduced image in the PS (L-1 times downsampling), and MVs on the high levels are estimated except for pixels having large corresponding MVs on the lower levels. Integration of MVFs for all levels is followed by a vector median filter to remove noises. Finally, a motion compensated frame is interpolated by weight-overlapped block motion compensation.

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Citation

Jun-Geon Kim and Daeho Lee
"Frame rate upconversion using pyramid structure and dense motion vector fields", J. Electron. Imaging. 25(3), 033004 (May 20, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.3.033004


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