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research article

High-Throughput Lossy-to-Lossless 3D Image Compression

Rossinelli, Diego
•
Fourestey, Gilles  
•
Schmidt, Felix
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February 1, 2021
Ieee Transactions On Medical Imaging

The rapid increase in medical and biomedical image acquisition rates has opened up new avenues for image analysis, but has also introduced formidable challenges. This is evident, for example, in selective plane illumination microscopy where acquisition rates of about 1-4 GB/s sustained over several days have redefined the scale of I/O bandwidth required by image analysis tools. Although the effective bandwidth could, principally, be increased by lossy-to-lossless data compression, this is of limited value in practice due to the high computational demand of current schemes such as JPEG2000 that reach compression throughput of one order of magnitude below that of image acquisition. Here we present a novel lossy-to-lossless data compression scheme with a compression throughput well above 4 GB/s and compression rates and rate-distortion curves competitive with those achieved by JPEG2000 and JP3D.

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Type
research article
DOI
10.1109/TMI.2020.3033456
Web of Science ID

WOS:000615044900014

Author(s)
Rossinelli, Diego
Fourestey, Gilles  
Schmidt, Felix
Busse, Bjoern
Kurtcuoglu, Vartan
Date Issued

2021-02-01

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Published in
Ieee Transactions On Medical Imaging
Volume

40

Issue

2

Start page

607

End page

620

Subjects

Computer Science, Interdisciplinary Applications

•

Engineering, Biomedical

•

Engineering, Electrical & Electronic

•

Imaging Science & Photographic Technology

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Radiology, Nuclear Medicine & Medical Imaging

•

Computer Science

•

Engineering

•

image coding

•

multiresolution analysis

•

codecs

•

wavelet transforms

•

throughput

•

three-dimensional displays

•

bandwidth

•

image compression

•

integration of multiscale information

•

parallel computing

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CMCS  
Available on Infoscience
March 26, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/176613
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