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25 May 1989 Impact of Noise on Radiological Image Compression
Shih-Chung B. Lo, Brian Krasner, Seong Ki Mun
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Proceedings Volume 1092, Medical Imaging III: Image Processing; (1989) https://doi.org/10.1117/12.953265
Event: Medical Imaging III, 1989, Newport Beach, CA, United States
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.
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Shih-Chung B. Lo, Brian Krasner, and Seong Ki Mun "Impact of Noise on Radiological Image Compression", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); https://doi.org/10.1117/12.953265
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KEYWORDS
Image compression
Computer programming
Medical imaging
Magnetic resonance imaging
Picture Archiving and Communication System
Image processing
Signal to noise ratio
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