overlap kernels strategies

There are several strategies possible to define how to stitch overlapping areas. The following points provide a short description of each strategy and an example of how it will stitch images together and the expected results. Here are the 'raw' images used for this example:

mean strategy

It will sum the mean value of the two images

closest strategy

It will take the top image for the top part and the bottom image for the bottom part

linear weights strategy

It will decrease linearly the weights of the top frame and increase the effect of the bottom frame.

cosinus weights strategy

This one is close to the linear weights strategy except that instead of having a linear profile it will have a 'cosinus / sinus' profile and should ensure a smoother transition.