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Proceedings Paper

Impact of Noise on Radiological Image Compression
Author(s): Shih-Chung B. Lo; Brian Krasner; Seong Ki Mun
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Paper Abstract

On a PACS network, it is desirable to use a non-destructive image compression technique in order both to minimize the storage and to improve the transmission speed. However, if the effect of noise in images is not taken into account, the expected degree of compression may not be achieved. We have studied some radiological images with different levels of noise using various decomposition methods incorporated with Huffman and Lempel-Ziv coding. When more correlations exist between pixels, these techniques can be made more efficiently. On the other hand, the additional noise disrupts the correlation between adjacent pixels and leads to a less compressed result. Hence, prior to a systematic compression in a PAC system two main issues need to be addressed: a) the true information range which exists in a specific type of radiological image and b) the costs and benefits of compression for the PACS.

Paper Details

Date Published: 25 May 1989
PDF: 8 pages
Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); doi: 10.1117/12.953265
Show Author Affiliations
Shih-Chung B. Lo, Georgetown University (United States)
Brian Krasner, AT&T Bell Laboratories (United States)
Seong Ki Mun, Georgetown University (United States)

Published in SPIE Proceedings Vol. 1092:
Medical Imaging III: Image Processing
Samuel J. Dwyer; R. Gilbert Jost; Roger H. Schneider, Editor(s)

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