Hierarchical motion estimation algorithm using multiple candidates for frame rate up-conversion

Songhyun Yu; Jechang Jeong

doi:10.1117/12.2521271

22 March 2019 Hierarchical motion estimation algorithm using multiple candidates for frame rate up-conversion

Songhyun Yu, Jechang Jeong

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104938 (2019) https://doi.org/10.1117/12.2521271
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

Motion estimation (ME) has the highest computational complexity in motion-compensated frame rate up-conversion (MC-FRUC). For the real-time implementation of FRUC, a fast ME algorithm is required. In this paper, a new hierarchical ME algorithm for MC-FRUC is proposed. It constructs an image pyramid by dividing the frame into several sub-images according to resolution, and performs ME at the top level to reduce complexity while improving accuracy by selecting multiple motion vector candidates. These candidates are refined at the lower levels, and the final motion vector is selected at the bottom level. Thus, the proposed algorithm obtains an average peak signal-to-noise ratio gain of upto 0.85 dB compared to conventional algorithms with lower computational complexity and yields interpolated images with better visual quality than other methods.

Citation Download Citation

Songhyun Yu and Jechang Jeong "Hierarchical motion estimation algorithm using multiple candidates for frame rate up-conversion", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104938 (22 March 2019); https://doi.org/10.1117/12.2521271

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