Fringe denoising algorithms: A review

Autor: Pramod Rastogi, Rishikesh Kulkarni
Rok vydání: 2020
Předmět:
Computer science
Noise reduction
fringe analysis
02 engineering and technology
adaptive analysis
01 natural sciences
Hilbert–Huang transform
Edge detection
010309 optics
0103 physical sciences
speckle-pattern interferometry
fringe pattern denoising
empirical mode decomposition
Electrical and Electronic Engineering
wavelet transform
denoising performance metrics
filtering method
Mechanical Engineering
Astrophysics::Instrumentation and Methods for Astrophysics
Wavelet transform
Windowed fourier transform
phase pattern denoising
021001 nanoscience & nanotechnology
Holographic interferometry
windowed fourier-transform
Atomic and Molecular Physics
and Optics

Electronic
Optical and Magnetic Materials

Shearography
Computer Science::Computer Vision and Pattern Recognition
partial-differential-equations
noise-reduction
Speckle imaging
edge-detection
0210 nano-technology
Algorithm
nonlocal means
Zdroj: Optics and Lasers in Engineering. 135:106190
ISSN: 0143-8166
DOI: 10.1016/j.optlaseng.2020.106190
Popis: Fringe analysis has been at the forefront of research due to its ubiquity in many optical measurement techniques such as electronic speckle interferometry, shearography, and digital holographic interferometry. The first step of most of the fringe analysis procedures is the denoising of fringe images. Therefore, the performance of denoising algorithms is critical in deciding the accuracy of phase and in turn associated measurement of physical parameters. This paper discusses state-of-art fringe denoising algorithms and recent developments. Simulation and experimental examples of selected denoising algorithms are provided for the purpose of demonstration.
Databáze: OpenAIRE