multiple compressor for single array
up vote
0
down vote
favorite
Is it possible to have different compressors, e.g. lossy and lossless for individual chunks?
In a scenario, where you have a mask of importance, where you want to keep signal with lossless compression or even with no compression, but have other parts of the signal with lossy compression for efficiency and space.
For example we have:
import zarr
z = zarr.zeros((32, 32), chunks=(4, 4))
important region that we want to keep is A(4:11,4:11), where we want to go lossless, e.g. zlib, then for the rest we use quantize from numcodecs for lossy. So we will have high precision for interesting part within mask and have lossy compression for out of mask and have two different compressor for different parts of a single array at chunk level.
zarr
asked Nov 19 at 22:58
genezin
287
add a comment |
up vote
0
down vote
favorite
Is it possible to have different compressors, e.g. lossy and lossless for individual chunks?
In a scenario, where you have a mask of importance, where you want to keep signal with lossless compression or even with no compression, but have other parts of the signal with lossy compression for efficiency and space.
For example we have:
import zarr
z = zarr.zeros((32, 32), chunks=(4, 4))
important region that we want to keep is A(4:11,4:11), where we want to go lossless, e.g. zlib, then for the rest we use quantize from numcodecs for lossy. So we will have high precision for interesting part within mask and have lossy compression for out of mask and have two different compressor for different parts of a single array at chunk level.
zarr
asked Nov 19 at 22:58
genezin
287
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Is it possible to have different compressors, e.g. lossy and lossless for individual chunks?
In a scenario, where you have a mask of importance, where you want to keep signal with lossless compression or even with no compression, but have other parts of the signal with lossy compression for efficiency and space.
For example we have:
import zarr
z = zarr.zeros((32, 32), chunks=(4, 4))
important region that we want to keep is A(4:11,4:11), where we want to go lossless, e.g. zlib, then for the rest we use quantize from numcodecs for lossy. So we will have high precision for interesting part within mask and have lossy compression for out of mask and have two different compressor for different parts of a single array at chunk level.
zarr
asked Nov 19 at 22:58
genezin
287
Is it possible to have different compressors, e.g. lossy and lossless for individual chunks?
In a scenario, where you have a mask of importance, where you want to keep signal with lossless compression or even with no compression, but have other parts of the signal with lossy compression for efficiency and space.
For example we have:
import zarr
z = zarr.zeros((32, 32), chunks=(4, 4))
important region that we want to keep is A(4:11,4:11), where we want to go lossless, e.g. zlib, then for the rest we use quantize from numcodecs for lossy. So we will have high precision for interesting part within mask and have lossy compression for out of mask and have two different compressor for different parts of a single array at chunk level.
zarr
zarr
asked Nov 19 at 22:58
genezin
287
asked Nov 19 at 22:58
genezin
287
asked Nov 19 at 22:58
genezin
287
asked Nov 19 at 22:58
genezin
287
asked Nov 19 at 22:58
genezin
287
287
add a comment |
add a comment |
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53383849%2fmultiple-compressor-for-single-array%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
