There are many resizers and it’s hard to tell if any are better than another.
DPID claims to preserve detail when downsizing. There’s some proof in their paper. The documentation on the lambda parameters is poor. I keep experimenting with DPID and various lambdas but have yet to see any difference.
After reading their paper again, it seems that lambdas less than 1.0 may sharpen more while downscaling. It could be my downscale factors are not large enough for DPID to show any visible difference. The largest downscale I’ve done is 8K to 1080. Their paper has greater downscales.
The DPID paper:
https://dl.acm.org/doi/pdf/10.1145/2980179.2980239
The plugin:
Lots of discussions on this a few years ago:
Prior discussions:
The last link has a test with AreaResize which I need to research.
And there’s this, which appears to be the same idea as DPID:
https://johanneskopf.de/publications/downscaling/
Check out its pseudocode link. I’m thinking that algorithm or DPID (maybe with way lower or higher lambas) may give us results (additional detail) at the scale factors we typically use with video.
The details are all way over my head, but I do understand the basic concept: upscaling higher than our final resolution generates additional detail, and that detail should not be tossed when downscaling.
An AI model for downscaling is a good idea and may be superior to any algorithmic method.
