A Novel Speckle Noise Reduction Algorithm for Old Movies Recovery

Chen Liu, Xiaoguang Li, L. Zhuo, Jiafeng Li, Qingfeng Zhou
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引用次数: 2

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.
一种新的旧电影复原散斑降噪算法
在保存老电影的过程中,会出现各种劣化现象,如划痕、灰尘等。尽管人们对去噪方法进行了很多研究,但这些方法在老电影的复原中效果并不好。本文提出了一种新的旧胶片散斑噪声去除方法,该方法包括散斑噪声检测和基于图像修复的散斑噪声去除过程。利用时空信息进行散斑噪声检测。同时,设计了一种基于深度图像先验的深度自编解码器网络来去除散斑噪声。实验结果表明,与其他方法相比,该方法可以取得更好的效果。
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