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2. Comparison gallery of image scaling algorithms - Wikipedia

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

   Examples of algorithms for this task include New Edge-Directed Interpolation (NEDI), [1] [2] Edge-Guided Image Interpolation (EGGI), [3] Iterative Curvature-Based Interpolation (ICBI), [citation needed] and Directional Cubic Convolution Interpolation (DCCI). [4] A study found that DCCI had the best scores in PSNR and SSIM on a series of test ...

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

4. Pixel-art scaling algorithms - Wikipedia

   en.wikipedia.org/wiki/Pixel-art_scaling_algorithms

   Next, the rotated image is created with a nearest-neighbor scaling and rotation algorithm that simultaneously shrinks the big image back to its original size and rotates the image. Finally, overlooked single-pixel details are (optionally) restored if the corresponding pixel in the source image is different and the destination pixel has three ...

5. 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.

6. Freepik - Wikipedia

   en.wikipedia.org/wiki/Freepik

   Retouch is an AI-driven image editing feature for adding, removing, or enhancing elements in photos. [25] Upscaler improves image resolution up to 4K, refining details without introducing blurring or pixelation. [26] Background Remover automatically removes image backgrounds, producing transparent PNG files for further customization. [27]

7. Deep Learning Super Sampling - Wikipedia

   en.wikipedia.org/wiki/Deep_learning_super_sampling

   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 ...