Tailoring 2D fast iterative filtering algorithm for low-contrast optical fringe pattern preprocessing

Retrieving object phase from the optical fringe pattern is a critical task in quantitative imaging and often requires appropriate image preprocessing (background noise minimization), especially when retrieving single-shot image. In this article, for first time, we propose to adapt 2D Fast Iterative Filtering (FIF) method decomposition develop novel version of FIF called (fpFIF2), that tailored preprocessing. We show positive influence fpFIF2 onto filtering comparing previous implementation regarding processing speed, quality, usage comfortability. also compare with other state-of-the-art methods terms aiding Hilbert spiral transform retrieval. Employing numerical simulations experimental analysis, prove outperforms reference methods, low-fringe-contrast reconstruction quality time.