Study of visual processing techniques for dynamic speckles: a comparative analysis

TL;DR

This paper compares various visual processing techniques for analyzing dynamic speckle patterns, concluding that the structural function (SF) based method is most effective for visual inspection of speckle data.

Contribution

It provides a comparative analysis of major visual techniques for speckle pattern analysis, highlighting the superiority of the SF-based method.

Findings

SF-based method is the most effective for speckle analysis

Comparative evaluation of multiple techniques

Establishes guidelines for visual inspection of speckle data

Abstract

Main visual techniques used to obtain information from speckle patterns are Fujii method, generalized difference, weighted generalized difference, mean windowed difference, structural function (SF), modified SF, etc. In this work, a comparative analysis of major visual techniques for natural gum sample is carried out. Obtained results conclusively establish SF based method as an optimum tool for visual inspection of dynamic speckle data.