Felbontásnövelésen

Felbontásnövelésen is a Hungarian term that translates to "upscaling" in English, particularly in the context of digital image and video processing. It refers to the process of increasing the resolution of a digital image or video, meaning to increase the number of pixels in each dimension. This is typically done when a lower-resolution source needs to be displayed on a higher-resolution screen or used in a context that demands greater detail.

There are various techniques employed for upscaling. Simple methods involve repeating pixels or using basic interpolation, which can lead to blocky or blurry results. More advanced algorithms, often utilizing artificial intelligence and machine learning, analyze the existing pixels to intelligently predict and generate new pixels that fill the gaps. These AI-powered methods aim to create a smoother, sharper, and more detailed upscaled image than traditional techniques.

The goal of felbontásnövelésen is to enhance the visual quality of low-resolution content without introducing significant artifacts. While it cannot magically create detail that was not present in the original source, effective upscaling can make a noticeable difference in the perceived clarity and smoothness of an image or video. It is commonly used in media playback devices, video editing software, and for displaying older content on modern high-definition or 4K displays.