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2. Video scaler - Wikipedia

   en.wikipedia.org/wiki/Video_scaler

   An enlargement of a small section of a 1024x768 (VESA XGA) resolution image; the individual pixels are more visible in its scaled form than its normal resolution.A video scaler is a system that converts video signals from one display resolution to another; typically, scalers are used to convert a signal from a lower resolution (such as 480p standard definition) to a higher resolution (such as ...

3. waifu2x - Wikipedia

   en.wikipedia.org/wiki/Waifu2x

   waifu2x is an image scaling and noise reduction program for anime-style art and other types of photos. [1]waifu2x was inspired by Super-Resolution Convolutional Neural Network (SRCNN).

4. Video Super Resolution - Wikipedia

   en.wikipedia.org/wiki/Video_Super_Resolution

   The feature was first unveiled during CES 2023 as RTX Video Super Resolution. [3] The feature uses the on-board Tensor Cores to upscale browser video content in real time. [4] The feature is currently only available on RTX 30 and 40 series gpus with support for 20 series gpus coming in the future. [5]

5. OpenShot - Wikipedia

   en.wikipedia.org/wiki/OpenShot

   OpenShot Video Editor is a free and open-source video editor for Windows, macOS, Linux, and ChromeOS. The project started in August 2008 by Jonathan Thomas, with the objective of providing a stable, free, and friendly to use video editor.

6. Video super-resolution - Wikipedia

   en.wikipedia.org/wiki/Video_super-resolution

   Video super-resolution (VSR) is the process of generating high-resolution video frames from the given low-resolution video frames. Unlike single-image super-resolution (SISR) , the main goal is not only to restore more fine details while saving coarse ones, but also to preserve motion consistency.

7. Deep learning super sampling - Wikipedia

   en.wikipedia.org/wiki/Deep_learning_super_sampling

   Nvidia advertised DLSS as a key feature of the GeForce 20 series cards when they launched in September 2018. [4] At that time, the results were limited to a few video games, namely Battlefield V, [5] or Metro Exodus, because the algorithm had to be trained specifically on each game on which it was applied and the results were usually not as good as simple resolution upscaling.