Quality enhancement for point cloud using morphology methods

Point cloud become a popular multimedia format. However, due to the massive amount of data, it is necessary to compress the point cloud. After compression, the number of points in the reconstructed point cloud will be reduced due to the quantization or downsampling in the compression process, which may introduce holes in the three-dimensional image. In this paper, we utilize the mathematical morphology to fill the holes in the reconstructed image. The results show that holes are filled with better subjective and objective quality metrics.