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作者:

Liu, Chen (Liu, Chen.) | Li, Xiaoguang (Li, Xiaoguang.) | Zhuo, Li (Zhuo, Li.) | Li, Jiafeng (Li, Jiafeng.) | Zhou, Qingfeng (Zhou, Qingfeng.)

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CPCI-S

摘要:

In the preservation of old movies, there will be various degradations, such as scratches and dust. Although there have been many studies on denoising, those methods have not been effective in the restoration of old movies. In this paper, we propose a novel old film speckle noise removal method, which includes speckle noise detection and an inpainting based speckle noise reduction procedures. The spatiotemporal information is employed in speckle noise detection. Meanwhile, a deep image prior based deep auto-encoder-decoder network is designed to remove the speckle noise. Experiment results show that the proposed method can achieve better results compared with other methods.

关键词:

Deep image prior Speckle noise reduction Deep auto-encoder-decoder network

作者机构:

  • [ 1 ] [Liu, Chen]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 2 ] [Li, Xiaoguang]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 3 ] [Zhuo, Li]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 4 ] [Li, Jiafeng]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 5 ] [Zhou, Qingfeng]Hefei Univ Technol, Sch Comp & Informat, Hefei, Anhui, Peoples R China

通讯作者信息:

  • [Liu, Chen]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China

电子邮件地址:

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来源 :

2018 11TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2018)

年份: 2018

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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