PortalPublikationenHigh-throughput lossy-to-lossless 3D image compression

High-throughput lossy-to-lossless 3D image compression

Standard

High-throughput lossy-to-lossless 3D image compression. / Rossinelli, Diego; Fourestey, Gilles; Schmidt, Felix; Busse, Bjorn; Kurtcuoglu, Vartan.

in: IEEE T MED IMAGING, Jahrgang 40, Nr. 2, 02.2021, S. 607-620.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Rossinelli, D, Fourestey, G, Schmidt, F, Busse, B & Kurtcuoglu, V 2021, 'High-throughput lossy-to-lossless 3D image compression', IEEE T MED IMAGING, Jg. 40, Nr. 2, S. 607-620. https://doi.org/10.1109/TMI.2020.3033456

APA

Rossinelli, D., Fourestey, G., Schmidt, F., Busse, B., & Kurtcuoglu, V. (2021). High-throughput lossy-to-lossless 3D image compression. IEEE T MED IMAGING, 40(2), 607-620. https://doi.org/10.1109/TMI.2020.3033456

Vancouver

Rossinelli D, Fourestey G, Schmidt F, Busse B, Kurtcuoglu V. High-throughput lossy-to-lossless 3D image compression. IEEE T MED IMAGING. 2021 Feb;40(2):607-620. https://doi.org/10.1109/TMI.2020.3033456

Bibtex

@article{d209928c5b4e4023a58e18fb79b7f511,
title = "High-throughput lossy-to-lossless 3D image compression",
abstract = "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.",
author = "Diego Rossinelli and Gilles Fourestey and Felix Schmidt and Bjorn Busse and Vartan Kurtcuoglu",
year = "2021",
month = feb,
doi = "10.1109/TMI.2020.3033456",
language = "English",
volume = "40",
pages = "607--620",
journal = "IEEE T MED IMAGING",
issn = "0278-0062",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - High-throughput lossy-to-lossless 3D image compression

AU - Rossinelli, Diego

AU - Fourestey, Gilles

AU - Schmidt, Felix

AU - Busse, Bjorn

AU - Kurtcuoglu, Vartan

PY - 2021/2

Y1 - 2021/2

N2 - 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.

AB - 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.

U2 - 10.1109/TMI.2020.3033456

DO - 10.1109/TMI.2020.3033456

M3 - SCORING: Journal article

C2 - 33095708

VL - 40

SP - 607

EP - 620

JO - IEEE T MED IMAGING

JF - IEEE T MED IMAGING

SN - 0278-0062

IS - 2

ER -