Thels

Thanks a lot for investigating this! I'm looking forward to the new update, but take your time. Regards, Thels.

Are you sure on that? I went onto the PC with the old Paint.net and compared. The edges of Super Sampling are definitely different from the edges of Bicubic. If you look at the attachment, the Super Sampling image is 264x264, whereas the Bicubic image is 262x262. Zooming in, the edges definitely look different. Also, the result of Bicubic changed. On the old Paint.net, I don't get any artifacts around the edges. On the new Paint.net, I do get artifacts. Not nearly as much as Adaptive, but they're there. Lanczos also has heavy artifacting going on (it looks similar to Adaptive). Only Bilinear, Fant and Nearest Neighbor do not. Bilinear is the one that resembles the old Super Sampling results for edges the closest, but it doesn't come as close in quality. It's a shame if Super Sampling goes the way of the Dodo. It had by far the best quality for the edges of transparent images. I tended to use AI upscaling tools to increase image sizes, but they were generally rather poor with the edges of transparent images, so I used Super Sampling for the Alpha. Is there any chance another option will become available that focuses on the quality of the edges of transparent images, like Super Sampling did? Here's a version with the 100% transparent areas converted to pink, so you can easily see the artifacts without first downloading and opening the image: I should not be needing to remove semi-transparent parts of the image to deal with the artificing. Especially not when it used to be not needed at all.

Is there any chance of Super Sampling coming back? It's removed in 5.0 because Adaptive is supposedly better quality. Unfortunately, Adaptive creates a lot of artifacts near the edge of a transparent image when resizing, pixels that look transparent, but are just slightly off 100% transparent. This makes it much harder to work with magic wands from there on, as it doesn't select the almost but not quite transparent pixels when using 0% toleracy. It also causes problems when importing these images into programs that rely on 100% transparency. For example, if importing an image that has been enlarged in Adaptive mode into Tabletop Simulator, you'll get selection outlines around the almost but not quite transparent pixels, because they aren't exactly transparent. Super Sampling was by far the best Algorhythm for the edges of images with transparent backgrounds. I often used other methods to increase the image size, but then used Super Sampling to increase the older image by the same size, and applied its alpha mask because the edges were superior. I still have an older version running on an older PC, and I currently see myself forced to do any resizing on the older PC, because none of the current options come close to how Super Sampling did it. See the example below. The left image is the original image. The right image has been increased to 200% using Adaptive. Then I used the magic wand at 0% tolerancy. The outline of the left image is smooth, while the outline of the right image has these almost transparent artifacts around it.