Depth image restoration algorithm using graph signal processing based image colorization
Depth image restoration algorithm using graph signal processing based image colorization
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DOI：
10.1117/12.2626083
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发表时间：
2022-04
期刊：
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通讯作者：
Tsukasa Kubota;K. Ito;Kazunori Uruma
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文献类型：
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作者：
Tsukasa Kubota;K. Ito;Kazunori Uruma
本文研究了一种深度图像恢复算法。与RGB传感器相比，通常从分辨率较低的深度传感器获得用于可视化对象的立体信息的深度图像。因此，需要实现深度图像的超分辨率。提出了一种基于图形信号处理的彩色引导图像深度图像恢复算法。从彩色图像生成图形，并且图形信号值被认为是深度值。然后利用图形信号值恢复技术恢复深度值。数值实验表明，该方法比以往的几种方法具有更高的恢复性能。
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.