I have a lot of multi GB images that are unfortunately jpeg-in-geotiff encoded before nodata was properly defined. As a result they all suffer from the jagged edges problem. <http://osgeo-org.1560.x6.nabble.com/file/t192661/WVpPW.png>
I've defined a method for adding a nodata mask side-car file that works around this: https://gis.stackexchange.com/questions/387877/add-a-nodata-mask-or-alpha-band-to-read-only-image/ * Create a working copy de-collared image with a mask file * Rename the mask file to match original * Remove working copy Windows command line syntax: ::: nearblack -o xxx.tif -setmask in_image.tif move xxx.tif.msk in_image.tif.msk del xxx.* ::: Unfortunately nearblack is unusable on large images. With a source image of 3.9 GB (126015 x 68149 pixels, 3 channels) it was only at 35% after 17 hours. I forgot about the process and rebooted my machine so I don't know how long it would taken to complete, if it would have finished at all. I used gdal_retile to break the source into 4096x4096 tiles and ran nearblack on those. It finished in under 2 hours for the entire set of 527 files, but i can't use the result because the tiles aren't georeferenced (see other thread). That problem aside, the experiment demonstrates much optimization is possible. Any advice on how else I might solve this? ----- -Matt -- Sent from: http://osgeo-org.1560.x6.nabble.com/GDAL-Dev-f3742093.html _______________________________________________ gdal-dev mailing list gdal-dev@lists.osgeo.org https://lists.osgeo.org/mailman/listinfo/gdal-dev
