hello,
I'm trying to port the retinex operation of gimp to a Gegl operation
and facing following problems.
First approach :
1. a GeglOperationMeta
since the Retinex algorithm depending on the parameters needs
multiple blurred images (gegl:gaussian-blur).
2. The difference between the original image and each of the
blurred images have to be summed an result in an intermediate
image.
This seems not possible without implementing an operation with a
specific calculation :
intermediate[n] += weight * (log (input[n] + 1.) - log
(blur[n]))
3. The next step would be another specialised op that performs :
logl = log(intermediate[0] + intermediate[1] +
intermediate[2] + 3.)
dest[n+i] = (gain * ((log(alpha * (input[n]+1.)) - logl) *
intermediate[n]) + offset);
4. Finally the values have to be corrected with the variance and
mean calculated on the whole image.
Second approach :
GeglOperationAreaFilter
implemented steps 1..3 of first apporach within the process
method.
The same problem for step 4.
Any suggestions on :
How to go with step 4 since the operations process method can only
calculate a mean and variance for its ROI?
Additional observation for Retinex and Gaussian Blur if the value of
scale/stdev is equal or bigger then the default size of the gegl ROI
then way the splitting in smaller chunks becomes a bottleneck. If
the extra area needed around the ROI is important in respect to the
ROI what kind of operation should be used?
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