Oct-11-2022, 07:11 AM
Hi,
I have inherited a situation where many thousands of scanned images reside as individual .tif files in a directory.
Not a problem, because I can retrieve them programmatically, effectively in a "random access" mode.
Except, they take up a huge amount of terabytes , even compressed as they are.
I've been reading up on how to store images in a (kind of) database, and as usual it's all very inconclusive.
Some say "use BLOB", others say "never use Blob for images", ....? I've tried numpy/plt...
My question is:
If the only goal is less storage space, what db-like object or technique, should I be using? If any !
A small loss of quality is acceptable, as long as texts remain readable when extracted from the db.
thx,
Paul
I have inherited a situation where many thousands of scanned images reside as individual .tif files in a directory.
Not a problem, because I can retrieve them programmatically, effectively in a "random access" mode.
Except, they take up a huge amount of terabytes , even compressed as they are.
I've been reading up on how to store images in a (kind of) database, and as usual it's all very inconclusive.
Some say "use BLOB", others say "never use Blob for images", ....? I've tried numpy/plt...
My question is:
If the only goal is less storage space, what db-like object or technique, should I be using? If any !
A small loss of quality is acceptable, as long as texts remain readable when extracted from the db.
thx,
Paul