Open AccessStudy on Deduction Method of Volume Scattering Noise of the Laser Scattering Image on the Ultra-smooth Optical Substrate Surface
Author(s) -
Shiyi Chen,
Jian Zhou,
Bin Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1693/1/012209
Subject(s) - scattering , wavelet , noise (video) , noise reduction , materials science , optics , volume (thermodynamics) , substrate (aquarium) , light scattering , surface (topology) , laser , image (mathematics) , computer science , physics , artificial intelligence , mathematics , geology , geometry , oceanography , quantum mechanics
In order to better observe the defects in the laser scattering image on the surface of the ultra-smooth optical substrate, the volume scattering noise needs to be deducted. This paper attempts to use three methods, which are wavelet denoising, wavelet enhancement and gradient model construction, and compares the advantages and disadvantages of the three methods.