In the case of upscaling images or video (sometimes referred to as super-resolution), the algorithm is essentially tasked with creating extra pixel data to fill in the missing gaps between the known pixel values. That’s because Al upscaling involves creating new pixels of image information to add detail where there wasn’t any before, filling in the gaps to recreate a higher-resolution image, all the while using machine learning to improve the result.Īrtificial Intelligence uses a network of simulated neurons (neural network) to augment the ability of a computer to perform tasks that rigid classical programming cannot easily achieve such as perception, interpretation, and prediction. It may sound a lot like regular old upscaling – the ‘AI’ part just means the upscaling happens with a greater awareness of context.
This handy development in TV picture processing is able to take the content of a lower resolution than your TV’s own panel and optimize it to look better, sharper, and more detailed.
0 kommentar(er)
