2D image deconvolution using sparse variation model. This deconvolution algorithm is designed for images with low signal like microscopy images:
The full documentation is avalable here
They are three main parameters to tune:
More details are avalable here
To run the deconvolution in the AllGo interface:
Set the command line in the parameters input (change the values with your settings):
-i name_of_your_input_image.tif -o output.tif -sigma 2 -regularization 11 -weighting 0.6
In order to run a job you need to be identified or register a new account.
The following curl command will create a job (note: job[webapp] is required, all other parameters are optional):
Monitor its progress:
Get the result:
Abort the job:
Delete the job: