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It looks beautiful! Super Sampling
🕑 Added 2024-04-24 04:45:26 +0000 UTCHello everyone,
Today, I want to talk about my attempt to improve image quality in Shoost using supersampling.
What is Supersampling?
In simple terms, supersampling is a technique that achieves an anti-aliasing effect (reducing jaggies) by downscaling a large-sized image. If you're involved in illustration or video production, you may have heard of this technique before.
In a previous article, I discussed how low-resolution images can become blurry when enlarged in Shoost. To prevent this, I explained that it's best to prepare large-sized images from the start. (Reference URL: https://www.patreon.com/posts/shoost-tips-and-92619219)
This time, I wondered if I could further improve the image quality by using supersampling, so I decided to give it a try.
Trying Out Supersampling
I prepared two images: one that fits the screen perfectly and another that is twice the size. The twice sized image was scaled down and placed using Shoost scaling function.
At first glance, there doesn't seem to be much difference, but the image that uses supersampling appears slightly sharper. When you zoom in, the difference becomes more apparent.
Looking at this, you might think, "Why not just use supersampling all the time?" However, there is a drawback: machine power. Using large images requires more processing power from your machine.
Also, if you just want to give a sharp impression, you can use the sharpness function to make the image crisper.
In fact, since Shoost already has an anti-aliasing function built-in, there might not be much point in using supersampling just to reduce jaggies.
However, if you're doing close-up shots of faces using camera zoom or making fine adjustments, it's better to prepare large-sized images beforehand and scale them down. This affects the resolution when you zoom in with the camera.
*Note: The ability to maintain resolution while zooming in with the camera was introduced in Shoost v0.12.1. (Reference URL: https://www.patreon.com/posts/update-shoost-v0-102189367)
In conclusion, these are the results of my investigation into the effects of supersampling in Shoost. By using supersampling depending on the situation, you might be able to achieve better image quality. Supersampling is a technique that can be used outside of Shoost as well, so I encourage you to give it a try.
