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Author:

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

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EI Scopus

Abstract:

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. © 2018 IEEE.

Keyword:

Biomedical engineering Network coding Decoding Motion pictures Speckle Learning systems

Author Community:

  • [ 1 ] [Liu, Chen]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Li, Xiaoguang]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Zhuo, Li]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 4 ] [Li, Jiafeng]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 5 ] [Zhou, Qingfeng]School of Computer and Information, Hefei University of Technology, Hefei, China

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Year: 2018

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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