Robust super resolution of compressed video
Robust super resolution of compressed video
复制标题
压缩视频的强大超分辨率
DOI:
10.1007/s00371-011-0666-8
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发表时间:
2012-01
期刊:
影响因子:
3.5
通讯作者:
Tong, Ruofeng
中科院分区:
文献类型:
--
作者:
Zhang, Xiaohong;Tang, Min;Tong, Ruofeng
This paper presents a robust algorithm to recover high-frequency information from compressed low-resolution (LR) video sequences. Previous super-resolution (SR) approaches have succeeded in resolution enhancement when the motion in the LR sequence is simple. However, when the motion is complex, new artifacts will be introduced in the SR processing. To solve this problem, we develop a robust Bayesian SR algorithm with two steps. We first isolate the frames individually to get their corresponding initial SR solutions within the Bayesian framework. Secondly, with a robust cost function to reject outliers and noise, final SR images are achieved with multiple LR frames. In the mean time, we impose the constraint that the distribution of high-resolution (HR) image gradient should be equal to one of the corresponding decompressed LR images to sharpen the edges of the results. As a result of these steps, we are able to produce high-quality deblurred results, which show a suppressing of high-frequency artifacts and less ringing artifacts, with a higher peak signal-to-noise ratio (PSNR).
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DOI:
10.1109/76.999200
发表时间:
2002-04
期刊:
IEEE Trans. Circuits Syst. Video Technol.
影响因子:
--
作者:
Y. Altunbasak;Andrew J. Patti;R. Mersereau
通讯作者:
Y. Altunbasak;Andrew J. Patti;R. Mersereau
影响因子:
3.3
作者:
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通讯作者:
Luis D. Alvarez;J. Mateos;R. Molina;A. Katsaggelos
DOI:
10.1007/0-306-47004-7_9
发表时间:
2002
期刊:
--
影响因子:
--
作者:
C. A. Segall;A. Katsaggelos;R. Molina;J. Mateos
通讯作者:
C. A. Segall;A. Katsaggelos;R. Molina;J. Mateos
DOI:
10.1631/fitee.1700813
发表时间:
2018-01-01
影响因子:
3
作者:
Yu, Bin;Kumbier, Karl
通讯作者:
Kumbier, Karl
DOI:
--
发表时间:
2003
期刊:
--
影响因子:
--
作者:
Charles M. Bishop;A. Blake;B. Marthi
通讯作者:
Charles M. Bishop;A. Blake;B. Marthi