Depth Image Restoration Algorithm using Graph Signal Processing based Image Colorization

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.