Evaluation of Compression Algorithms for 3D Pavement Image Data-Reference-Cited by-同舟云学术

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Evaluation of Compression Algorithms for 3D Pavement Image Data

Published:2021-12 Issue:4 Volume:27 Page:04021042
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Li Joshua Qiang¹^ORCID,Wang Kelvin C. P.²,Yang Guangwei³

Affiliation:

1. Associate Professor, School of Civil and Environmental Engineering, Oklahoma State Univ., Stillwater, OK 74078 (corresponding author). ORCID: .

2. Professor, School of Civil and Environmental Engineering, Oklahoma State Univ., Stillwater, OK 74078.

3. Postdoctoral Researcher, School of Civil and Environmental Engineering, Oklahoma State Univ., Stillwater, OK 74078.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29IS.1943-555X.0000654

Reference22 articles.

1. Choi S. O. J. Kwon D. Jang and S. Choi. 2015. “Performance evaluation of JPEG XT standard for high dynamic range image coding.” In Vol. 1 of Proc. World Congress on Engineering 552–556. Hong Kong: International Association of Engineers.

2. Quality Management of Pavement Condition Data Collection

3. GitHub. 2020. “Official repository of the OpenJPEG project.” Accessed December 20 2020. https://github.com/uclouvain/openjpeg.

4. Development of Texture Measurement System Based on Continuous Profiles from Three-Dimensional Scanning System

5. INO. 2020. “Laser crack measurement system (LCMS).” Accessed December 20 2020. https://www.ino.ca/en/resources/case-studies/energy-ressources-environment/laser-crack-mesurement/.

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