JPEG无损一阶
Identical to the main JPEG lossless, but with a constrained value for the
predictor, giving a slightly simplified algorithm, with slightly greater
speed, but slightly less compression on most images (2-5% typically)
(from medicalconnections wiki)
使用新的libjpeg-turbo实现时,上述所有内容也都是正确的,因为libjpeg-turbo只是原始libjpeg(精确地说是6b版本)的优化(二进制兼容)版本。
我曾经遇到过类似的问题,我是按照 @JohnnyQ 的提示解决的,具体步骤如下:
conda install -n myenv -c clinicalgraphics gdcm
conda install -n myenv -c anaconda pillow
您可以使用pip install ...
来安装gdcm和pillow。
请查看https://pydicom.github.io/pydicom/stable/image_data_handlers.html