A comparison study of denoising techniques in fringe pattern analysis

• Main Authors: Zhao, Ming, Qian, Kemao
• Other Authors: Quan, Chenggen
• Format: Conference or Workshop Item
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Computer science and engineering; Image Denoising; Fringe Pattern
• Online Access: https://hdl.handle.net/10356/88190; http://hdl.handle.net/10220/46900
• Institution: Nanyang Technological University

Optical interferometry is a popular technique for high precision measurement. It produces fringe patterns for analysis. The output fringe patterns usually have noises, and thus a filtering process for fringe patterns is necessary. A few filtering algorithms, such as windowed Fourier filtering (WFF), have been proposed specially for fringe pattern denoising. Meanwhile, filtering techniques have been intensively studied for a long time in the general image processing area. It is curious that how the filtering techniques in general image processing area perform on fringe pattern denoising. In this paper, a state-of-the-art filtering algorithm, block-matching 3D filtering (BM3D), is selected and compared with the WFF.