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2. 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). [2] [3] It uses Nvidia CUDA for computing, [4] although alternative implementations that allow for OpenCL [5] and Vulkan [6] have been created.

3. Comparison gallery of image scaling algorithms - Wikipedia

   en.wikipedia.org/wiki/Comparison_gallery_of...

   The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest-neighbor interpolation. Other scaling methods below are better at preserving smooth contours in the image.

4. Photopea - Wikipedia

   en.wikipedia.org/wiki/Photopea

   Photopea (/ ˈ f oʊ t ə ˈ p iː / FOH-tə-PEE) is a web-based photo and graphics editor. It is used for image editing, making illustrations, web design or converting between different image formats. Photopea is advertising-supported software. It is compatible with all modern web browsers, including Opera, Edge, Chrome, and Firefox. [5]

5. hqx (algorithm) - Wikipedia

   en.wikipedia.org/wiki/Hqx_(algorithm)

   It is not related to hqx, but is rather a generic upscaling-smoothing algorithm. [8] hqx has also been implemented in ffmpeg for upscaling images and videos 2x, 3x, or 4x. An account of the production of the translation for ffmpeg is here and usage may be something like: ffmpeg -i %1 -filter_complex hqx=2 hqx2-%1 to produce a 2x image or video.

6. Image scaling - Wikipedia

   en.wikipedia.org/wiki/Image_scaling

   An image scaled with nearest-neighbor scaling (left) and 2×SaI scaling (right) In computer graphics and digital imaging, image scaling refers to the resizing of a digital image. In video technology, the magnification of digital material is known as upscaling or resolution enhancement.

7. Deep learning super sampling - Wikipedia

   en.wikipedia.org/wiki/Deep_learning_super_sampling

   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 ...