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

被引:15
|
作者
Rossinelli, Diego [1 ,2 ]
Fourestey, Gilles [3 ]
Schmidt, Felix [4 ]
Busse, Bjoern [4 ]
Kurtcuoglu, Vartan [1 ]
机构
[1] Univ Zurich, Inst Physiol, CH-8057 Zurich, Switzerland
[2] Lucid Concepts AG, CH-8005 Zurich, Switzerland
[3] Ecole Polytech Fed Lausanne, SCITAS, CH-1015 Lausanne, Switzerland
[4] Univ Klinikum Hamburg Eppendorf UKE, Inst Osteol & Biomech, Ctr Expt Med, D-20251 Hamburg, Germany
基金
瑞士国家科学基金会;
关键词
Image coding; Multiresolution analysis; Codecs; Wavelet transforms; Throughput; Three-dimensional displays; Bandwidth; Image compression; integration of multiscale information; parallel computing;
D O I
10.1109/TMI.2020.3033456
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:607 / 620
页数:14
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