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  2. 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.

  3. Let's Enhance - Wikipedia

    en.wikipedia.org/wiki/Let's_Enhance

    Let's Enhance [1] is a Ukrainian start-up [2] which develops an online service driven by artificial intelligence which allows improving images and zooming them without losing quality. [3] According to the developers, [4] they used the super-resolution technology of machine learning. The neural network, trained on a large base of real ...

  4. Fotor - Wikipedia

    en.wikipedia.org/wiki/Fotor

    Fotor One-Tap Photo Enhancer is a tool that is designed to automatically improve image quality and fix common imaging problems. [6] [7] Fotor GoArt is a tool to turn photos into classical painting style artwork. [8] Fotor AI Background Remover is a tool that allows users to remove backgrounds from their images with one click. [9]

  5. 6 Best Free AI Programs for Beginners To Save and Make Money

    www.aol.com/6-best-free-ai-programs-170114656.html

    “A high-quality AI ‘art’ generator,” Steele said. “To use this program for free, you’ll need to join Midjourney’s community on Discord — but you can earn free credits by rating the ...

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

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

    Top 3 AI Image Generators Matt Crisara via Midjourney Artificial Intelligence (AI) has blown up in popularity as one of the most exciting and misunderstood technologies of recent times.

  7. Deep learning super sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    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 which uses the single raw, low-resolution frame to upscale the image to the desired output resolution.

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