26 March 2001 Integer wavelet transformations with predictive coding improves 3D similar image set compression
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Proceedings Volume 4391, Wavelet Applications VIII; (2001); doi: 10.1117/12.421205
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States
Abstract
Lossless compression techniques are essential in archival and communication of large amounts of homogeneous data in radiological image databases. This paper exploits dependencies that exist between the pixel intensities in three dimensions to improve compression for a set of similar medical images. These 3-D dependencies are systematically presented as histograms, plots of wavelet decomposition coefficients, feature vectors of wavelet decomposition coefficients, entropy and correlation. This 3-D dependency is called set redundancy for medical image sets. Predictive coding is adapted to set redundancy and combined with integer wavelet transformations to improve compression. This set compression improvement is demonstrated with 3-D sets of magnetic resonance (MR) brain images.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaojun Qi, John M. Tyler, Oleg S. Pianykh, "Integer wavelet transformations with predictive coding improves 3D similar image set compression", Proc. SPIE 4391, Wavelet Applications VIII, (26 March 2001); doi: 10.1117/12.421205; https://doi.org/10.1117/12.421205
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KEYWORDS
Image compression

Wavelets

3D image processing

Wavelet transforms

Brain

Magnetic resonance imaging

Medical imaging

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