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
It is more important to do the right thing, than to do the thing right.(P.Drucker)
Better is the enemy of good. (Montesquieu) = French version for 'kiss'.
Better is the enemy of good. (Montesquieu) = French version for 'kiss'.