toltec Posted September 25, 2017 Share Posted September 25, 2017 I have noticed that if you Rasterise an Image layer, the quality is affected by the size of the image when you Rasterise it. i.e. scale the image to 20 percent and rasterise it, resize it and it is a bit naff. Rasterise it at its full size, and it is OK. There is a noticeable difference, although the original resolution stays the same. Is this a bug ? Quote Windows PCs. Photo and Designer, latest non-beta versions. Link to comment Share on other sites More sharing options...
Staff MEB Posted September 25, 2017 Staff Share Posted September 25, 2017 That's because if you scale the image it will be resampled when you rasterise it. If you keep it at full size it will not be resampled. Quote A Guide to Learning Affinity Software Link to comment Share on other sites More sharing options...
toltec Posted September 25, 2017 Author Share Posted September 25, 2017 12 minutes ago, MEB said: That's because if you scale the image it will be resampled when you rasterise it. If you keep it at full size it will not be resampled. Ah, fair enough. I will just have to load images at full size and make sure I rasterize before resizing. Thank you Quote Windows PCs. Photo and Designer, latest non-beta versions. Link to comment Share on other sites More sharing options...
R C-R Posted September 25, 2017 Share Posted September 25, 2017 31 minutes ago, MEB said: That's because if you scale the image it will be resampled when you rasterise it. If you keep it at full size it will not be resampled. Which resampling algorithm does rasterize use? Is it always the same one or maybe a different one when scaling to >100% vs. to <100% of the image's original full size? Quote All 3 1.10.8, & all 3 V2.4.1 Mac apps; 2020 iMac 27"; 3.8GHz i7, Radeon Pro 5700, 32GB RAM; macOS 10.15.7 Affinity Photo 1.10.8; Affinity Designer 1.108; & all 3 V2 apps for iPad; 6th Generation iPad 32 GB; Apple Pencil; iPadOS 15.7 Link to comment Share on other sites More sharing options...
Staff MEB Posted September 25, 2017 Staff Share Posted September 25, 2017 @R C-R When you scale down it's bilinear from the nearest mip-map. When scaling up it's bilinear from the source. R C-R 1 Quote A Guide to Learning Affinity Software Link to comment Share on other sites More sharing options...
Alfred Posted September 25, 2017 Share Posted September 25, 2017 From my (admittedly limited!) knowledge of such matters, bilinear seems a poor choice of algorithm for scaling up. Wouldn't Lanczos3, or even just bicubic, generally yield better results? Quote Alfred Affinity Designer/Photo/Publisher 2 for Windows • Windows 10 Home/Pro Affinity Designer/Photo/Publisher 2 for iPad • iPadOS 17.4.1 (iPad 7th gen) Link to comment Share on other sites More sharing options...
R C-R Posted September 25, 2017 Share Posted September 25, 2017 49 minutes ago, MEB said: @R C-R When you scale down it's bilinear from the nearest bitmap. I am a bit slow-witted this morning but I am not sure what you mean by "nearest bitmap." Nearest to what? 14 minutes ago, Alfred said: From my (admittedly limited!) knowledge of such matters, bilinear seems a poor choice of algorithm for scaling up. Wouldn't Lanczos3, or even just bicubic, generally yield better results? Also from my limited knowledge, this seems to be true. Is there any easy workaround for this? Quote All 3 1.10.8, & all 3 V2.4.1 Mac apps; 2020 iMac 27"; 3.8GHz i7, Radeon Pro 5700, 32GB RAM; macOS 10.15.7 Affinity Photo 1.10.8; Affinity Designer 1.108; & all 3 V2 apps for iPad; 6th Generation iPad 32 GB; Apple Pencil; iPadOS 15.7 Link to comment Share on other sites More sharing options...
MikeW Posted September 25, 2017 Share Posted September 25, 2017 Nearest Neighbor I suspect... Quote Link to comment Share on other sites More sharing options...
Staff MEB Posted September 25, 2017 Staff Share Posted September 25, 2017 @R C-R I meant nearest mip-map. The spelling checker changed it. Post corrected. R C-R 1 Quote A Guide to Learning Affinity Software Link to comment Share on other sites More sharing options...
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