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Journal of Electronic Imaging

Compressing industrial computed tomography images by means of contour coding
Author(s): Haina Jiang; Li Zeng
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Paper Abstract

An improved method for compressing industrial computed tomography (CT) images is presented. To have higher resolution and precision, the amount of industrial CT data has become larger and larger. Considering that industrial CT images are approximately piece-wise constant, we develop a compression method based on contour coding. The traditional contour-based method for compressing gray images usually needs two steps. The first is contour extraction and then compression, which is negative for compression efficiency. So we merge the Freeman encoding idea into an improved method for two-dimensional contours extraction (2-D-IMCE) to improve the compression efficiency. By exploiting the continuity and logical linking, preliminary contour codes are directly obtained simultaneously with the contour extraction. By that, the two steps of the traditional contour-based compression method are simplified into only one. Finally, Huffman coding is employed to further losslessly compress preliminary contour codes. Experimental results show that this method can obtain a good compression ratio as well as keeping satisfactory quality of compressed images.

Paper Details

Date Published: 18 November 2013
PDF: 7 pages
J. Electron. Imaging. 22(4) 043017 doi: 10.1117/1.JEI.22.4.043017
Published in: Journal of Electronic Imaging Volume 22, Issue 4
Show Author Affiliations
Haina Jiang, Chongqing Univ. (China)
Li Zeng, Chongqing Univ. (China)


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