Super-Resolution from Compressed Video

Super-Resolution from Compressed Video
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DOI:
10.1007/0-306-47004-7_9
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发表时间:
2002
期刊:
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影响因子:
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通讯作者:
C. A. Segall;A. Katsaggelos;R. Molina;J. Mateos
C. A. Segall;A. Katsaggelos;R. Molina;J. Mateos
中科院分区:
其他
文献类型:
--
作者:
C. A. Segall;A. Katsaggelos;R. Molina;J. Mateos

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被认为是从一个低分辨率和压缩图像序列恢复高分辨率帧的问题。压缩系统的存在使恢复问题复杂化,因为该操作减少了低分辨率帧中的频率混叠量并引入了非线性噪声过程。虽然在恢复框架中仍然可以解决增加解码帧的分辨率的问题,但是该方法还必须包括底层压缩系统的知识。此外,提高解码序列的空间分辨率不再是恢复算法的唯一目标。相反,该技术还需要衰减压缩伪影。
The problem of recovering a high-resolution frame from a sequence of low-resolution and compressed images is considered. The presence of the compression system complicates the recovery problem, as the operation reduces the amount of frequency aliasing in the low-resolution frames and introduces a non-linear noise process. Increasing the resolution of the decoded frames can still be addressed in a recovery framework though, but the method must also include knowledge of the underlying compression system. Furthermore, improving the spatial resolution of the decoded sequence is no longer the only goal of the recovery algorithm. Instead, the technique is also required to attenuate compression artifacts.