g-force said:
Okay, let me ask you this. How much of the improvement is from the temporal combination? How much is from all the other things that the script is doing? Scientists usually publish their methods, I have yet to see what the script is actually doing. I guess I just fundamentally have a problem with applying a bunch of denoising and spatial filters and claiming that it's all SR.
-G
Earlier in this very thread you agreed that SR is able to recover detail from the sub-pixel level on this source:
g-force said:
As AntcuFaalb correctly pointed out, and as you can see from every example in that paper, you need to have plenty of aliasing for this to work. Fortunately, the GOUT has plenty of that, at least in one dimension! For most sources that are scanned well however, the best you can hope for with such methods is just noise reduction.
-G
Then, in the previous comment, you said that SR contributes almost nothing:
g-force said:
I stand behind what was stated. Only a very small percentage of what you are considering improvements here are due to SR. What you have is a denoiser that leaves a sheet of slowly moving grain, oversharpening effects (sorry, de-blurring artifacts), and shimmering residual aliasing.
In answer to your question, SR is a plugin that (given the right source) can recover detail lost in a single frame. So whereas an avisynth script may look like this:
Source > Denoising > Anti-aliasing > Upscale > Sharpen > Downscale
SR slots in and does most of the anti-aliasing and up-scaling for you:
Source > Denoising > SR > [Further upscaling > Residual anti-aliasing > ] Sharpen > Downscale
And that's just plucked out of the air I'm not suggesting this is the exact order of filters used by DrDre, but just using it as a visual representation of where SR fits in the Avisynth script. It literally takes the place of the anti-aliasing filter. So compared to previous methods that were based on EEDI or NNEDI for the anti-aliasing it provides more detail and a more organic anti-aliasing.