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  2. Wikipedia:Removal of non-free images - Wikipedia

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

    The ninth item of Wikipedia’s policy for non-free content states that non-free images should only be used in the article namespace (not disambiguation pages), and goes further into the underlying reasons for the policy. This issue is important because copyright complaints are a very direct way in which Wikipedia could be financially harmed.

  3. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    The background image is used as the bottom layer, and the image with parts to be added are placed in a layer above that. Using an image layer mask , all but the parts to be merged is hidden from the layer, giving the impression that these parts have been added to the background layer.

  4. Cropping (image) - Wikipedia

    en.wikipedia.org/wiki/Cropping_(image)

    Cropping is the removal of unwanted outer areas from a photographic or illustrated image. The process usually consists of the removal of some of the peripheral areas of an image to remove extraneous visual data from the picture, improve its framing, change the aspect ratio, or accentuate or isolate the subject matter from its background.

  5. Personalize your background image, sounds, and toolbar ...

    help.aol.com/articles/personalize-your...

    Personalize your background image, sounds, and toolbar appearance in AOL Desktop Gold Access your settings to see several options that let you make it your own, such as updating the sounds that you hear, adjusting the colors used, and choosing from any of your own images or the vast Flickr library to personalize your background.

  6. Settings A-Z - AOL Help

    help.aol.com/settings

    Get answers to your AOL Mail, login, Desktop Gold, AOL app, password and subscription questions. Find the support options to contact customer care by email, chat, or phone number.

  7. Krisp - Wikipedia

    en.wikipedia.org/wiki/Krisp

    Krisp's main product is a software application that can remove background noises and voices from audio in real-time. The software uses machine learning algorithms to analyze the audio signal and separate the speech from background noise, allowing the speech to be output in clear, noise-free audio. This technology has a wide range of ...