NDLI: The impact of H.264/AVC on compression and non-destructive evaluation of piston data in industrial Computed Tomography

Content Provider	IEEE Xplore Digital Library
Author	Ditter, A. Fey, D. Schon, T. Luxa, M. Gruber, R.
Copyright Year	2013
Description	Author affiliation: Fraunhofer Dev. Center for X-ray Technol. (EZRT), Furth, Germany (Schon, T.; Luxa, M.; Gruber, R.) \|\| Dept. of Comput. Sci., Univ. of Erlangen-Nuremberg, Erlangen, Germany (Ditter, A.; Fey, D.)
Abstract	The application of video encoding for the compression of Computed Tomography (CT) based projection images is very promising with respect to a more efficient transmission and storage of this particular type of data. Especially the use of “off-the-shelf” technologies, such as the H.264/AVC codec, ensures long term support due to its widespread use in the media industry. We present an approach for the application of this standard 8-bit video codec even for 16-bit projection data sets. Based on a benchmark set of 200 pistons, we evaluate its performance in terms of the compression rate relative to the original input data. Furthermore, we compare the detection rate of manufacturing defects in the reconstructed volumes to the state-of-the-art technique without video encoding. For this purpose our benchmark does not only contain the projections of the 200 pistons, but additionally the exact information about location and size of the manufacturing defects of the respective piston. We show that the detection rate based on the video encoded projection data is, up to a certain threshold, as good as without compression.
Sponsorship	IEEE Instrum. Meas. Soc.
Starting Page	243
Ending Page	247
File Size	3378477
Page Count	5
File Format	PDF
e-ISBN	9781467357913
DOI	10.1109/IST.2013.6729699
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pistons Computed tomography Image coding Image reconstruction PSNR Benchmark testing video encoding Compression industrial computed tomography non-destructice testing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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