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高通量有损到无损的 3D 图像压缩。

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

出版信息

IEEE Trans Med Imaging. 2021 Feb;40(2):607-620. doi: 10.1109/TMI.2020.3033456. Epub 2021 Feb 2.

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.

摘要

医学和生物医学图像采集速度的快速增长为图像分析开辟了新的途径,但也带来了巨大的挑战。例如,在选择性平面照明显微镜中,每天持续采集约 1-4GB/s 的速度重新定义了图像分析工具所需的 I/O 带宽规模。尽管可以通过有损到无损的数据压缩来主要提高有效带宽,但由于当前方案(例如 JPEG2000)的计算需求较高,实际上这是有限的,这些方案的压缩吞吐量比图像采集低一个数量级。在这里,我们提出了一种新颖的有损到无损数据压缩方案,其压缩吞吐量远高于 4GB/s,并且压缩率和率失真曲线与 JPEG2000 和 JP3D 相当。

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