Abstract
Fringe patterns produced by various optical interferometric techniques encode the information of deformation, refractive index, vibration, etc.. Noise as one of the key problems affects further processing of the fringe patterns and reduces the final measurement quality. Coherence enhancing diffusion is a partial differential equation based denoising model that suppresses the noise as well as preserves flow-like structures. Windowed Fourier filtering is another useful fringe pattern denoising tool based on windowed Fourier transform. This paper compares these two denoising methods by applying them to fringe patterns with different types of noise and different levels of frequencies. Quantitative results will be given on simulated fringe patterns to illustrate the performance of both methods.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
