Edge Preserving Compression of CT Scans using Wavelets
M. Stock, G. Herl, T. Sauer, and J. Hiller. Proceedings of the Structural Health Monitoring, International Symposium Nondestructive Testing 4-5 October 2018, Saarbruecken, Germany, (2018)
Abstract
This work addresses the subject of efficient storage of computed tomography (CT) data with an emphasis on the quality of surfaces. Industrial dimensional metrology often requires high measurement accuracy and we show that this is retained using wavelet-based compression methods. The applied techniques include a tensor product wavelet transform and soft wavelet shrinkage. In our tests on real objects, we compared dimensional CT measurements of compressed and uncompressed volumes. We were able to reduce the necessary storage space significantly with a minimal loss of accuracy. For a multi sphere phantom, we decreased the storage space to 4.7% (from 638 MB to 30 MB) with an average deviation below 1 µm from the original volume.
%0 Conference Paper
%1 noauthororeditor
%A Stock, Michael
%A Herl, Gabriel
%A Sauer, Thomas
%A Hiller, Jochen
%B Proceedings of the Structural Health Monitoring, International Symposium Nondestructive Testing 4-5 October 2018, Saarbruecken, Germany
%D 2018
%K gher
%T Edge Preserving Compression of CT Scans using Wavelets
%X This work addresses the subject of efficient storage of computed tomography (CT) data with an emphasis on the quality of surfaces. Industrial dimensional metrology often requires high measurement accuracy and we show that this is retained using wavelet-based compression methods. The applied techniques include a tensor product wavelet transform and soft wavelet shrinkage. In our tests on real objects, we compared dimensional CT measurements of compressed and uncompressed volumes. We were able to reduce the necessary storage space significantly with a minimal loss of accuracy. For a multi sphere phantom, we decreased the storage space to 4.7% (from 638 MB to 30 MB) with an average deviation below 1 µm from the original volume.
@inproceedings{noauthororeditor,
abstract = {This work addresses the subject of efficient storage of computed tomography (CT) data with an emphasis on the quality of surfaces. Industrial dimensional metrology often requires high measurement accuracy and we show that this is retained using wavelet-based compression methods. The applied techniques include a tensor product wavelet transform and soft wavelet shrinkage. In our tests on real objects, we compared dimensional CT measurements of compressed and uncompressed volumes. We were able to reduce the necessary storage space significantly with a minimal loss of accuracy. For a multi sphere phantom, we decreased the storage space to 4.7% (from 638 MB to 30 MB) with an average deviation below 1 µm from the original volume. },
added-at = {2019-02-12T12:39:33.000+0100},
author = {Stock, Michael and Herl, Gabriel and Sauer, Thomas and Hiller, Jochen},
biburl = {https://www.bibsonomy.org/bibtex/2ae171a64209c448312c0dfc60eb7ee7d/baywiss1},
booktitle = {Proceedings of the Structural Health Monitoring, International Symposium Nondestructive Testing 4-5 October 2018, Saarbruecken, Germany},
interhash = {a37ce358ae907f4c5ecc24ea9f8a4dce},
intrahash = {ae171a64209c448312c0dfc60eb7ee7d},
keywords = {gher},
timestamp = {2019-03-25T12:00:32.000+0100},
title = {Edge Preserving Compression of CT Scans using Wavelets},
year = 2018
}