On Bayesian adaptive video super resolution

IEEE Transactions on Pattern Analysis and Machine Intelligence
Ce Liu, Deqing Sun

Abstract

Although multiframe super resolution has been extensively studied in past decades, super resolving real-world video sequences still remains challenging. In existing systems, either the motion models are oversimplified or important factors such as blur kernel and noise level are assumed to be known. Such models cannot capture the intrinsic characteristics that may differ from one sequence to another. In this paper, we propose a Bayesian approach to adaptive video super resolution via simultaneously estimating underlying motion, blur kernel, and noise level while reconstructing the original high-resolution frames. As a result, our system not only produces very promising super resolution results outperforming the state of the art, but also adapts to a variety of noise levels and blur kernels. To further analyze the effect of noise and blur kernel, we perform a two-step analysis using the Cramer-Rao bounds. We study how blur kernel and noise influence motion estimation with aliasing signals, how noise affects super resolution with perfect motion, and finally how blur kernel and noise influence super resolution with unknown motion. Our analysis results confirm empirical observations, in particular that an intermediate size blur kern...Continue Reading

References

Jun 13, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Dirk Robinson, Peyman Milanfar
Dec 18, 2007·IEEE Transactions on Pattern Analysis and Machine Intelligence·Ce LiuWilliam T Freeman
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Citations

Dec 2, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Chih-Tsung ShenSoo-Chang Pei
Feb 6, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Esmaeil FaramarziMarc P Christensen
Mar 19, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Chao RenTruong Q Nguyen
May 18, 2016·Medical Image Analysis·Wenchao Jiang, Zhaozheng Yin
Jun 2, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Faisal Salem, Andrew E Yagle
Jun 21, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yanting HuXuelong Li
Oct 25, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Chao RenTruong Q Nguyen
Mar 14, 2017·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Motoharu SonogashiraMichihiko Minoh
May 11, 2017·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yan HuangLiang Wang
Nov 29, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society· Qiqin DaiAggelos K Katsaggelos
Jun 6, 2018·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yunlong WangTieniu Tan
Jan 13, 2018·Applied Optics·Sankaraganesh JonnaRajiv R Sahay

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