Comparative analysis of directional filtering techniques in fringe patterns

We present a comparison of some methodologies that exist for directional filtering of fringe patterns. An important task in fringe image processing is the noise filtering. The implementation of linear filters is not always a proper procedure in the presence of high density fringes because the signal and noise are mixed in Fourier space. The objective of this report is to carry out a comparison of existing procedures to determine which of them provides a better image estimation. The techniques considered in this work are: Regularized Filters (RQCF), Oriented spatial filter masks (OSFM), Second-Order Oriented partial differential equations (SOPDE) and Directional filters (DF). To compare these techniques, we analyze their performance for different noise levels, using synthetic fringe images.