Adaptive Frame Rate Up-Conversion Considering Low Computational Complexity and Complex Motion

نویسندگان

  • S. J. Kang
  • Suk-Ju Kang
  • Dong-Gon Yoo
  • Sung-Kyu Lee
  • Young Hwan Kim
چکیده

This paper presents a new method for frame rate up-conversion using sub-sampled bilateral motion estimation, motion vector smoothing, simplified bidirectional motion compensated interpolation, and complex motion detection. The proposed method produces improved image quality and requires less computational complexity compared to conventional motion estimation. The average PSNRs of the proposed method for frame rate up-conversion outperform those of the benchmark frame rate up-conversion technique by up to 4.39 dB for the test sequences. Furthermore, the motion estimation of the proposed FRUC method reduces the required computational complexity to 12.5% of that required for full-search block matching motion estimation.

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تاریخ انتشار 2008