Dynamic Speckle Metrology with Normalized Processing of Compressed Data

Dynamic speckle metrology effectively detects areas of faster or slower changes on the surface of a 3D object. Monitoring of changes in time requires storage and processing of sequences of speckle images, and data compression becomes mandatory. The speckle images are often characterized with spatially varying speckle statistics, and this entails normalized processing. In the paper, we have studied by numerical simulation and demonstrated by the experiment feasibility of such type of processing in the case of compressed data.