Depth image restoration algorithm using graph signal processing based image colorization

Tsukasa Kubota; Kairi Ito; Kazunori Uruma

doi:10.1117/12.2626083

30 April 2022 Depth image restoration algorithm using graph signal processing based image colorization

Tsukasa Kubota, Kairi Ito, Kazunori Uruma

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121772H (2022) https://doi.org/10.1117/12.2626083
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

This paper deals with a depth image restoration algorithm. Depth images for the purpose of visualizing stereoscopic information of an object are generally obtained from a depth sensor with low resolution compared with an RGB sensor. Therefore it is required to realize super-resolution of the depth image. This paper proposes the depth image restoration algorithm using the color guided image based on the graph signal processing. A graph is generated from a color image, and the graph signal value is considered as a depth value. Then the depth value is restored using the technique of graph signal value restoration. Numerical experiments show that it has higher restoration performance than several previous methods.

Citation Download Citation

Tsukasa Kubota, Kairi Ito, and Kazunori Uruma "Depth image restoration algorithm using graph signal processing based image colorization", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121772H (30 April 2022); https://doi.org/10.1117/12.2626083

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