Deep learning based Image Compression for Microscopy Images: An Empirical Study. (arXiv:2311.01352v1 [eess.IV])

With the fast development of modern microscopes and bioimaging techniques, an
unprecedentedly large amount of imaging data are being generated, stored,
analyzed, and even shared through networks. The size of the data poses great
challenges for current data infrastructure. One common way to reduce the data
size is by image compression. This present study analyzes classic and deep
learning based image compression methods, and their impact on deep learning
based image processing models. Deep learning based label-free prediction models
(i.e., …

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