![]() Different algorithmsĪs an example, here's bicubic vs. ![]() You can't always predict the result, but just see what works best for you. You therefore shouldn't worry about huge differences there.įact is, as always when encoding video, that the result heavily depends on the source material. These filters all have only a marginal impact on file size. More importantly, they have an impact on the quality when upscaling, because you need to generate data where there isn't in the first place. It could be argued that the resizing filters don't matter that much when you downscale a video. ![]() The recommendations may vary depending on content type and application area. These are based on material I've read over the years, and from what I've seen used in the industry. When sampling up: Use Bicubic or Lanczos filtering. When sampling down: Use Lanczos or Spline filtering.
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