No, only the password is.

Correct house stapler battery

There is a paper titled “What Every Computer Scientist Should Know About Floating-Point Arithmetic” by David Goldberg. It’s a bit theoretical, but IMO it’s a must-read for any programmer doing more than the occasional floating point calculation. It goes beyond just limited precision and rounding errors.

“And while Spectral JPEG XL dramatically reduces file sizes, its lossy approach may pose drawbacks for some scientific applications.”

This is the part that confuses me. First of all, many applications that need spectral data need it to be as accurate as possible. Lossy compression in that might not be acceptable.

More interestingly (and I’ll read the actual paper for this): which data will be more compressed? Simply put, JPEG achieves its best compression by keeping the brightness but discarding colour. Which dimension in which spectral space do the researchers think can be more compressed than others? In this case there is no human visual system to base the decision on.

Kind of, but JPEG converts image data to its own internal 3 came channel colour space before applying DCT. It is not compressing the R, G and B channels of most images. So a multichannel compression is not just compressing each channel separately.

JPEG 2000 supports lossless mode.