期刊
IEEE TRANSACTIONS ON MEDICAL IMAGING
卷 40, 期 2, 页码 607-620出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMI.2020.3033456
关键词
Image coding; Multiresolution analysis; Codecs; Wavelet transforms; Throughput; Three-dimensional displays; Bandwidth; Image compression; integration of multiscale information; parallel computing
类别
资金
- Swiss National Science Foundation through NCCR Kidney.CH [153523, 182683]
The rapid increase in medical and biomedical image acquisition rates has created new opportunities and challenges for image analysis. Development of data compression schemes has become an important step in addressing the high I/O bandwidth demand caused by high acquisition rates.
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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