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Gryphon's rapid success was due to the introduction of its premier software program, Morph. [ 2 ] [ 3 ] The first software program to affordably bring cost-prohibitive Hollywood special effects to the personal computer, Morph enabled users to smoothly transform still images and videos into another. [ 4 ]
The feature supports input resolutions from 360p to 1440p and a max output of 4K and comes without support for HDR content although that could be likely added in the future. [ 6 ] [ 7 ] Nvidia released RTX Video Super Resolution 1.5 with improved video quality and RTX 20 series support on October 17, 2023.
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 ...
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.
FantaMorph is a morphing software for the creation of photo morphing pictures and sophisticated morph animation effects. The category of this software is Image Editor or Animation in Graphics or Multimedia. FantaMorph supports both Windows and Mac operating system, and comes in three different editions: Standard, Professional and Deluxe.
HDMI 1.4b was released on October 11, 2011, [110] containing only minor clarifications to the 1.4a document. HDMI 1.4b is the last version of the standard that HDMI LA is responsible for. All later versions of the HDMI Specification are produced by the HDMI Forum, created on October 25, 2011. [34] [111]
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).
The first iteration of DLSS is a predominantly spatial image upscaler with two stages, both relying on convolutional auto-encoder neural networks. [23] The first step is an image enhancement network which uses the current frame and motion vectors to perform edge enhancement, and spatial anti-aliasing. The second stage is an image upscaling step ...