Abstract | ||
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A novel motion-compensated frame rate up conversion algorithm is proposed in this paper, which employs the iterative non-local means (NLM) interpolation. Firstly, we obtain the forward and backward motion vector fields (MVFs) by optical flow estimation. Then in order to reduce the cracks and salt-and-pepper noise, the initial interpolated frame is reconstructed by the fusion of these two MVFs in block-based interpolation. After that an iterative non-local means interpolation is proposed, where the MVFs and intermediate frame are refined alternatively in each iteration. This iterative procedure can alleviate the artifacts and preserve the texture effectively. Experimental results demonstrate that the proposed method outperforms the state-of-the-art algorithms in both objective and subjective quality. |
Year | DOI | Venue |
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2017 | 10.1109/BMSB.2017.7986212 | 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) |
Keywords | Field | DocType |
Frame rate up conversion,motion compensation,motion estimation,optical flow,non-local means | Computer vision,Quarter-pixel motion,Non-local means,Computer science,Motion compensation,Interpolation,Artificial intelligence,Motion estimation,Optical flow,Frame rate up conversion,Motion vector | Conference |
ISSN | ISBN | Citations |
2155-5044 | 978-1-5090-4938-7 | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Guo Lu | 1 | 25 | 8.02 |
Xiaoyun Zhang | 2 | 173 | 25.90 |
Li Chen | 3 | 41 | 6.11 |
Zhiyong Gao | 4 | 175 | 29.30 |