![]() Image upscaling with ML is an effective technique. ![]() Using ML, the output looks much better than with a standard upscaling algorithm such as the widely used Lanczos resampling! Machine Learning allows us to add details to the picture during the upscaling operation. ![]() In that case, the lost details are not going to be retrieved, and thus the picture looks blurry and not "visually pleasing," as you can see in the image below. Suppose you were resizing this 128x128 pixels image back to its original size. In that case, there will be 16 times fewer pixels in the final image than in the original one, so information is lost. Suppose you are resizing a 512x512 pixels picture to 128x128 pixels. It is not valid for vector graphics, but we focus on bitmaps or "classical" pictures in this article. When modifying the size of a picture, we need to remember that the maximum level of detail it contains depends on its number of pixels. Don't hesitate to check our other articles! Image Upscaling ![]() We hope to provide you with a better idea about the usages of AI for content creators, on a wide range of domains. □ Note: This article is part of our series on content creation. However, if you want to learn more about these techniques, you can find links to interesting articles for these different use-cases! We chose not to enter the details of how these techniques are working, as we focus on demystifying how AI is currently used to help creators in various ways. This article discusses how AI is used to improve the quality of the pictures and videos you can produce. ![]()
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