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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.
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 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]
Super VGA virtual screens Allows software to set up virtual display resolutions, larger than the actual displayed resolution, and smoothly scroll or pan around the larger image. High Color and TrueColor modes Industry standard 16-bit and 24-bit graphics modes for resolutions from 320×200 up to 1600 × 1200.
Each virtual pixel can be re-weighted with the inverse of the distance-factor of the pixel leading to a restoration of the true cumulant value. At last the PSF can be used to create a resolution dependency of n for the nth-order cumulant by re-weighting the "optical transfer function" (OTF). [5]
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This very fine level of resolution was derived by merging four precursor images taken at sensor positions just one pixel apart. Comparison of simple image (left) and image generated with pixel shift (right) (Click to enlarge) Pixel shift is a method in digital cameras for producing a super resolution image. The method works by taking several ...
Super-resolution microscopy is a series of techniques in optical microscopy that allow such images to have resolutions higher than those imposed by the diffraction limit, [1] [2] which is due to the diffraction of light. [3]