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Hi all,
I'm playing with this framework with good results. In particular I'm using the clahe filter to enhance my images. Unfortunately my images are satellite data that comes as 16bits unsigned short (from 0 to 65535 per band) or 32bit float (from 0 to 1).
So I had to manually convert the image to 8 bit before applying the filter. Do you have any plan in the future to handle directly those type of images?
I've tried looking into the code myself but it appears not to be an easy task.
Thank you for all your work!
The text was updated successfully, but these errors were encountered:
I will port all the filters to support 16 bits and 32 bits unsigned int, with the capability to set bits per sample, because I know some satellite images that works with 11 bits. I'm just waiting the Java 9 tiff support. I plan to support double matrix as well too. Let me know more about your necessity.
Hi Diego,
unfortunately my data is in netcdf format, so I extract the raw matrix from the files with the official netcdf driver ( http://www.unidata.ucar.edu/software/netcdf/ ) and then build the FastBitmap manually pixel by pixel, converting the data type also manually when needed. I want to avoid downscaling my data to get better results after filtering.
Hi all,
I'm playing with this framework with good results. In particular I'm using the clahe filter to enhance my images. Unfortunately my images are satellite data that comes as 16bits unsigned short (from 0 to 65535 per band) or 32bit float (from 0 to 1).
So I had to manually convert the image to 8 bit before applying the filter. Do you have any plan in the future to handle directly those type of images?
I've tried looking into the code myself but it appears not to be an easy task.
Thank you for all your work!
The text was updated successfully, but these errors were encountered: