Lanczos resampling is a way of making a picture look smoother or clearer when it is enlarged or reduced in size. It's like when you are drawing a picture and you don't have enough space to make the details you want, but if you zoom in or out, you can see everything better.
Imagine you have a really big picture and you want to make it smaller so you can fit it on your computer screen. If you just shrink the picture down, it may look blurry or pixelated because you are trying to squeeze a lot of information into a smaller space. But with Lanczos resampling, the computer can use a special formula to make the picture look sharper and more defined even when it's smaller.
Lanczos resampling works by analyzing the way colors and details change in the picture as you zoom in or out. It looks at nearby pixels and uses them to create new pixels in between the original ones. The special formula that it uses is called the Lanczos filter, which is named after a mathematician who came up with it.
Think of it like baking a cake. You have a big cake and you want to make it smaller. If you just chop it up and throw away some of the pieces, it might not taste as good or look as pretty. But if you carefully cut the cake into smaller pieces and rearrange them, you can make a smaller cake that still tastes amazing.
Lanczos resampling is like rearranging the pixels in a picture to make it look better when it's smaller or larger. It's a really important tool for photographers and artists who want to make their pictures look their best, no matter what size they are.