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Combining Image Compression with Digital Image Correlation

Yang, J. and Bhattacharya, K. (2019) Combining Image Compression with Digital Image Correlation. Experimental Mechanics, 59 (5). pp. 629-642. ISSN 0014-4851. doi:10.1007/s11340-018-00459-y.

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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.

Item Type:Article
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URLURL TypeDescription ReadCube access
Bhattacharya, K.0000-0003-2908-5469
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 We are grateful to Louisa Avellar for sharing her unpublished images of fracture with us.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).
Funding AgencyGrant Number
Air Force Office of Scientific Research (AFOSR)FA9550-12-1-0458
Subject Keywords:Digital image correlation (DIC); Image compression
Issue or Number:5
Record Number:CaltechAUTHORS:20190123-095233323
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Official Citation:Yang, J. & Bhattacharya, K. Exp Mech (2019) 59: 629.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:92420
Deposited By: Tony Diaz
Deposited On:23 Jan 2019 18:44
Last Modified:16 Nov 2021 03:50

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