I am working with compressed (.nii.gz) CT images data with Hounsfield range of [-1024, 4936] which I converted to .npy. I observed that when decompressing the field and normalize to [0, 1] the file size increases taking more storage space on my derive. Any intuition for the increased file size and proper way of handling it?