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  2. Fotor - Wikipedia

    en.wikipedia.org/wiki/Fotor

    Fotor is a multi-platform photo editing software. [3] It was first launched in 2012 and was dubbed "Photoshop Lite" by the BBC. [4] Fotor's software is available on mobile devices, desktop computers, and online as a web app. [5] It offers a suite of image editing tools and features for users to edit and enhance photos quickly and easily.

  3. Artipic - Wikipedia

    en.wikipedia.org/wiki/Artipic

    Artipic is a graphics editor developed for Microsoft Windows.An older version for macOS is still available but unsupported. [2]Artipic features drawing, editing, retouching, transforming and composing images including color corrections, effects and layer-based operations.

  4. Wikipedia:How to improve image quality - Wikipedia

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

    Images can often be improved – or even transformed – by using graphics software such as Photoshop or the free GIMP and Paint.NET applications. Many other programs also have photo-enhancing tools, including facilities for semi-automatic image enhancement, so that you need only click a button, or choose a thumbnail, to have a positive effect on image quality.

  5. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    Camera or computer image editing programs often offer basic automatic image enhancement features that correct color hue and brightness imbalances as well as other image editing features, such as red eye removal, sharpness adjustments, zoom features and automatic cropping. These are called automatic because generally they happen without user ...

  6. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  7. 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 ...

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