Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published June 2019 | Supplemental Material
Journal Article Open

Combining Image Compression with Digital Image Correlation


Digital image correlation (DIC) is a powerful experimental technique to determine displacement and strain fields. DIC methods usually require a large number of high resolution images, and this imposes significant needs on data storage and transmission. In this work, we combine digital image correlation with image compression techniques and show that it is possible to obtain accurate displacement and strain fields with only 5% of the original image size. We study two compression techniques – discrete cosine transform (DCT) and wavelet transform, and three DIC algorithms – Local Subset DIC, Global DIC and the recently proposed augmented Lagrangian DIC (ALDIC). We find that Local Subset DIC leads to the largest errors and ALDIC to the smallest when compressed images are used. We also find that wavelet-based image compression introduces less error compared to DCT image compression.

Additional Information

© 2019 Society for Experimental Mechanics. Received: 3 April 2018; Accepted: 13 November 2018; First Online: 18 January 2019. We are grateful to Louisa Avellar for sharing her unpublished images of fracture with us. We gratefully acknowledge the support of the US Air Force Office of Scientific Research through the MURI grant 'Managing the Mosaic of Microstructure' (FA9550-12-1-0458).

Attached Files

Supplemental Material - 11340_2018_459_MOESM1_ESM.pdf


Files (8.8 MB)
Name Size Download all
8.8 MB Preview Download

Additional details

August 22, 2023
October 20, 2023