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  2. Wikipedia:How to improve image quality - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:How_to_improve...

    The current maximum file size you can upload is 100MB. If, when viewed at 100% (actual pixels), an image appears slightly blurred and/or there are visible JPEG compression artifacts, it could benefit from downsampling. Images from modern digital cameras which produce very large (6MP or 10MP) files can look much better when slightly reduced in size.

  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. Image restoration by artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Image_restoration_by...

    Image restoration can be broadly categorized into two main types: spatial domain and frequency domain methods. Spatial domain techniques operate directly on the image pixels, while frequency domain methods transform the image into the frequency domain using techniques such as the Fourier transform, where restoration operations are performed.

  5. AI Image Generators Will Blow Your Mind. Here Are the 3 Best ...

    www.aol.com/lifestyle/ai-image-generators-blow...

    This is the perfect example of what separates a good image from a great image. DALL-E: Unlike the other two, DALL-E’s rendition of the forest fire leaves a lot to be desired. Is it a digital ...

  6. Deep learning super sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    Nvidia has also introduced Deep learning dynamic super resolution (DLDSR), a related and opposite technology where the graphics are rendered at a higher resolution, then downsampled to the native display resolution using an artificial intelligence-assisted downsampling algorithm to achieve higher image quality than rendering at native resolution.

  7. Deep learning anti-aliasing - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_anti-aliasing

    Deep learning anti-aliasing (DLAA) is a form of spatial anti-aliasing created by Nvidia. [1] DLAA depends on and requires Tensor Cores available in Nvidia RTX cards. [1]DLAA is similar to deep learning super sampling (DLSS) in its anti-aliasing method, [2] with one important differentiation being that the goal of DLSS is to increase performance at the cost of image quality, [3] whereas the ...

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