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- W4226248567 abstract "In view of the problem that the traditional image denoising algorithm has poor denoising effect on the roaming images of campus buildings, we took the new campus of a university as an example. The images were obtained by using the RGB depth camera of KI-NECT, and the denoising non-local mean filtering algorithm was combined to optimize the denoising of the roaming images of buildings in the new campus. Using CAD and 3d& Corona technology, we studied the effect of denoising accuracy on generating images of roaming scenes of buildings in the new campus. Through the comparative experiment of non-local mean filtering algorithm, it is verified that the image of roaming scene of virtual park building generated and produced by combining CAD and 3d& Corona technology with denoising non-local mean filtering algorithm has advantages including integrity, hierarchy and stability, which provides technical support for the further realization of digital park construction." @default.
- W4226248567 created "2022-05-05" @default.
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- W4226248567 date "2021-12-01" @default.
- W4226248567 modified "2023-10-16" @default.
- W4226248567 title "An Image Denoising and Optimization Method for Park Building Roaming Scene" @default.
- W4226248567 doi "https://doi.org/10.1109/netcit54147.2021.00093" @default.
- W4226248567 hasPublicationYear "2021" @default.
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