Fringe denoising algorithms: A review. (December 2020) - Kulkarni, Rishikesh
Highlights: State-of-the-art fringe pattern denoising algorithms are discussed. State-of-the-art wrapped phase pattern denoising algorithms are discussed. Some of the denoising algorithm performance matrics are discussed. Simulation and experiments are provided for fringe and phase pattern denoising. Abstract: 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.