![]() There's an outstanding article on CodeProject which digs into advanced image resizing algorithms with actual C# code for some spline and fractal resizing algorithms. That's why they are provided out of the box in almost all graphics applications and graphics libraries. It does start to bear an unfortunate resemblance to a watercolor drawing filter, but arbitrarily resizing images to 5 times their original size will always involve tradeoffs of some kind.īicubic and bilinear are well understood image resizing algorithms, and they're "good enough" for most image resizing chores. Still, the fractal algorithm comes out way ahead you can't see any pixel resize artifacts in the enlarged image, and the edges are sharp and well defined. Here's the same closeup using Genuine Fractals:īicubic wouldn't normally be my choice here, but I chose it because it's technically the most advanced method, and it produces the results closest to the effect that the fractal resizing delivers. Here's a closeup of the results using Bicubic Sharper: I took the the reference Lena image and blew it up 500%. I downloaded a trial version of the tool (which requires Photoshop Elements, or Photoshop CS) and gave it a shot. ![]() Bilinear and Bicubic are decent, but there has to be room for improvement in there somewhere. It's probably pure marketing hyperbole, but I was still intrigued. The web site boasts that you can use its fractal-based resizing algorithm to "enlarge your images over 1000% with no loss in image quality". ![]() Supposedly, one of the best image resizing algorithms on the market is Genuine Fractals. It's a dramatic difference, especially since traditional bilinear and bicubic upsizing methods degenerate into a giant blur on pixel art. Wario using pixel resizing, and the same shot using 2xSAI resizing. Some are specific to particular kinds of images, such as the 2xSAI algorithm which works on pixel art. What I didn't realize when I wrote the original article is that there are other, more advanced resizing algorithms available. Of course, there are plenty of conditions that might make you want to choose one method over the other, but I think these are reasonable guidelines to start with. You want to blend over the interpolated fake detail in the new, larger image that never existed in the original image.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |