NNEDI - intra-field deinterlacing filter

[tritical]

In terms of the basic operation, EEDI2 and NNEDI do the same thing. They just get there in different ways... EEDI2 copies every line of the input frame to every other line of the output frame and then interpolates the missing pixels. NNEDI just starts by throwing out every other line of the input frame and interpolates the missing pixels.

Algorithmically, NNEDI is a computational intelligence approach using artifical neural networks and clustering. Whereas EEDI2 uses a vector matching method to create a direction map, does some processing of the direction map, and then does linear interpolation along the determined directions. The main advantage of NNEDI is that it isn't limited to outputting the average of two pixels (one from the line above and one from the line below) like EEDI2 is. This allows it to handle conditions that EEDI2's interpolation can't, and is also the reason it can eliminate what Revgen called "Blur Bubbles," which EEDI2 produces. Atm, there are still some things EEDI2 handles better, but I'm confident NNEDI can best it on those things as well. There is still a lot of experimenting to be done as far as NNEDI is concerned.

Should I stop using EEDI2 and start using pointresize.NNEDI?

You should use whichever one looks best to you .