: How to find quality of a downsample image and which is best algorithm to downscale? We are using an opensource application to process the images, It is using nearest neighbor, bilinear and bicubic
We are using an opensource application to process the images, It is using nearest neighbor, bilinear and bicubic algorithms to downsample the images.
In most of the scenarios the image are good, but when it comes to images film grain images, all the three algorithms are failing.
As it is a open source tool, we can edit the source code of the tool. but the problems are , "We don't know which algorithms are best for printable downsampling images" and "How to compare them".
Thanks,
Praveen Ravipati.
More posts by @Ravi4787994
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GIMP has a "Sinc (Lanczos 3)" interpolation method, which is excellent for downsampling. However if the original images are large, with lots of small details such as film grain, and you are downsampling much smaller, then there's not really much you can do. Details will be lost when resampling, no matter what you do. It's a fact of reality.
I suppose you could try adding a film grain effect again, after you have downsampled it.
How to compare them? Look at them side by side at 100% zoom.
Might I ask why you are downsampling the image? If it's for print, why do that?
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