I am new to HDF5.
Is there a best practice for storing image data to be viewed with
HDFView in a space-efficient way?
For example, when importing a 720 x 678 JPEG image that contains 114,173
bytes, with HDFView or a Python program, the resulting HDF5 image
dataset contains 1.4 MB (720 x 678 x 3 for the RGB values = 1,464,480
bytes). What is the best strategy for compressing this data so that it
can still be viewed with HDFView?
Thanks for your kind consideration.
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