0
$\begingroup$

When I calculate the entropy values of files compressed with Gzip, PKZIP, 7ZIP and Winrar, I find that the compression rate of Gzip is higher than the others. The entropy value is higher (indicating less redundancy) and the file size is smaller. Even for small files, the overhead of Gzip is lower compared to the other algorithms. To be fair, this is not the case for all file formats, e.g. for xlsx, 7- ZIP and PKzip have better results than Gzip and Winrar. But still. I'm quite surprised because 7- ZIP is generally considered a better compression algorithm in terms of.... it reduces the file size more, but that does not really correspond with my results. Or I did something completely wrong... or...?

I did not base these results on a few files, I compressed a whole bunch of things from different file formats and calculated the delta of the file sizes with Python.

What I also find quite interesting. When I look at PDF files, I would expect that especially PDF 1.5 or higher can hardly be compressed by a lossless compression algorithm, as they are already heavily compressed by themselves. But I don't see much difference between PDF < 1.5 and 1.5 >, both are compressed quite heavily by these compression tools.

By the way, I used the default algorithms and settings of these archivers

Can someone explain how/why this is the case (maybe I'm doing something wrong) or maybe these results does make sense (but I can't find something on the internet that does support this)?

$\endgroup$
1
  • $\begingroup$ Cross-posted: stackoverflow.com/q/76622167/781723, cs.stackexchange.com/q/160999/755. Please do not post the same question on multiple sites. If you discover you have posted on the wrong site, you can delete the question and post it on another site (but it is usually best to avoid this if you have already received answers; perhaps you might consider flagging for moderator attention, to ask them to migrate it). Make sure to read the help page of the site to figure out what is on-topic before posting or asking for migration. $\endgroup$
    – D.W.
    Commented Jul 5, 2023 at 19:11

0

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.