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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...

   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 ...

4. hqx - Wikipedia

   en.wikipedia.org/wiki/Hqx

   2d image filter project at code.google.com including the hqx filters and more (C#) hqx-java project Arcnor project - a free Java port of hqxSharp with a demo of usage (Java) HqxCli-Java A command line tool that use the Arcnor implementation (Java) ffmpeg implementation story ffmpeg -i %1 -filter_complex hqx=2 hqx2-%1 to produce a 2x image or video.

5. 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. [21] 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 ...

6. GPUOpen - Wikipedia

   en.wikipedia.org/wiki/GPUOpen

   A sharpening pass called RCAS (Robust Contrast-Adaptive Sharpening) that extracts pixel detail in the upscaled image." [12] FSR 2 is a temporal upscaler based on a modified Lanczos requiring an aliased lower resolution image and utilising the temporal data (such as motion vectors and frame history) and then applies its own antialiasing pass ...

7. VIPS (software) - Wikipedia

   en.wikipedia.org/wiki/VIPS_(software)

   Compared to most image processing libraries VIPS needs little RAM and runs quickly, especially on machines with more than one CPU. This is primarily due to its architecture which automatically parallelises the image workflows. [5] The software has two main parts: libvips is the image-processing library and nip2 is the graphical user-interface.