Fringe pattern denoising by image dimensionality reduction

Noise is a key problem in fringe pattern processing, especially in single frame demodulation of interferograms. In this work, we propose to filter the pattern noise using a straightforward, fast and easy to implement denoising method, which is based on a dimensionality reduction approach, in the sense of image rank reduction. The proposed technique has been applied to simulated and experimental ESPI interferograms obtaining satisfactory results.

► We present a fringe pattern denoising method based on a dimensionality reduction approach.
► The proposed method is straightforward, fast and easy to implement. It is based on the SVD algorithm.
► The method only requires three input parameters and does not require a fine tuning of the them.