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Experimental Mechanics

, Volume 59, Issue 5, pp 629–642 | Cite as

Combining Image Compression with Digital Image Correlation

  • J. Yang
  • K. BhattacharyaEmail author
Article
  • 306 Downloads

Abstract

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.

Keywords

Digital image correlation (DIC) Image compression 

Notes

Acknowledgment

We are grateful to Louisa Avellar for sharing her unpublished images of fracture with us.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).

Supplementary material

11340_2018_459_MOESM1_ESM.pdf (8.4 mb)
(PDF 8.42 MB)

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Copyright information

© Society for Experimental Mechanics 2019

Authors and Affiliations

  1. 1.Division of Engineering and Applied ScienceCalifornia Institute of TechnologyPasadenaUSA
  2. 2.Department of Mechanical EngineeringUniversity of WisconsinMadisonUSA

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