Removing flicker based on sparse color correspondences in old film restoration

Xi Huang; Youdong Ding; Bing Yu; Tianran Xia

doi:10.1117/12.2304726

10 April 2018 Removing flicker based on sparse color correspondences in old film restoration

Xi Huang, Youdong Ding, Bing Yu, Tianran Xia

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106152J (2018) https://doi.org/10.1117/12.2304726
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

In the long history of human civilization, archived film is an indispensable part of it, and using digital method to repair damaged film is also a mainstream trend nowadays. In this paper, we propose a sparse color correspondences based technique to remove fading flicker for old films. Our model, combined with multi frame images to establish a simple correction model, includes three key steps. Firstly, we recover sparse color correspondences in the input frames to build a matrix with many missing entries. Secondly, we present a low-rank matrix factorization approach to estimate the unknown parameters of this model. Finally, we adopt a two-step strategy that divide the estimated parameters into reference frame parameters for color recovery correction and other frame parameters for color consistency correction to remove flicker. Our method combined multi-frames takes continuity of the input sequence into account, and the experimental results show the method can remove fading flicker efficiently.

Citation Download Citation

Xi Huang, Youdong Ding, Bing Yu, and Tianran Xia "Removing flicker based on sparse color correspondences in old film restoration", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152J (10 April 2018); https://doi.org/10.1117/12.2304726

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