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FidelityFX Super Resolution (FSR) is used to upsample an input image into a higher resolution. There are multiple versions of FSR with distinctive upscaling technique and image quality: There are multiple versions of FSR with distinctive upscaling technique and image quality:
Image scaling can be interpreted as a form of image resampling or image reconstruction from the view of the Nyquist sampling theorem.According to the theorem, downsampling to a smaller image from a higher-resolution original can only be carried out after applying a suitable 2D anti-aliasing filter to prevent aliasing artifacts.
Simple Fourier based interpolation based on padding of the frequency domain with zero components (a smooth-window-based approach would reduce the ringing).Beside the good conservation of details, notable is the ringing and the circular bleeding of content from the left border to right border (and way around).
Radeon Boost also uses image upscaling to increase performance, but unlike AMD's other technologies, it does this only at certain times, such as when rapidly moving the mouse. This is interpreted as an action-heavy scene where image quality can temporarily be decreased without much noticeable effect. [10] This only works in supported games. [7]
The second stage is an image upscaling step which uses the single raw, low-resolution frame to upscale the image to the desired output resolution. Using just a single frame for upscaling means the neural network itself must generate a large amount of new information to produce the high resolution output, this can result in slight hallucinations ...
Checkerboard rendering or sparse rendering, [1] also known as checkerboarding for short, is a 3D computer graphics rendering technique, intended primarily to assist graphics processing units with rendering images at high resolutions.
Super-resolution imaging (SR) is a class of techniques that improve the resolution of an imaging system. In optical SR the diffraction limit of systems is transcended, while in geometrical SR the resolution of digital imaging sensors is enhanced.
The CAS (concentration, asymmetry, smoothness) parameters are a tool originally developed in astronomy to characterize the shapes and images of objects with some central concentration. Each parameter is a single number which represents some aspect of the structure of the object under study.