heya, this is an IIR filter (infinite impulse response, as opposed to the straight forward FIR, finite impulse response, which would be for instance a 5-tap b-spline filter) which approximates a gaussian. it's especially well suited for large filter supports. why do you need to know? for sports or you need to change / adapt it for something?
cheers, jo On Sun, Oct 14, 2018 at 11:34 PM Heiko Bauke <heiko.ba...@mail.de> wrote: > > Hi, > > today I had look at the code in gaussian.c, which (to my surprise) is > not just a straight-forward implementation of a Gaussian filter. > > After some google search I realized that several approximate algorithms > exist that are able to approximate a Gaussian filter within a computing > time that is independent of the kernel's support (the width of the > Gaussian). Presumably the algorithm that is implemented in darktable is > such an algorithm. But I still do not have a clue how it works. Any > pointers to the literature? Which algorithm has been implemented in > gaussian.c? > > > Regards, > > Heiko > > > -- > -- Number Crunch Blog @ https://www.numbercrunch.de > -- Cluster Computing @ https://www.clustercomputing.de > -- Social Networking @ https://www.researchgate.net/profile/Heiko_Bauke > ___________________________________________________________________________ > darktable developer mailing list > to unsubscribe send a mail to darktable-dev+unsubscr...@lists.darktable.org > ___________________________________________________________________________ darktable developer mailing list to unsubscribe send a mail to darktable-dev+unsubscr...@lists.darktable.org
