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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. 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.

  4. 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.

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    System Mechanic is an easy solution for optimal PC performance and simple computing. Once downloaded, it helps speed up slow computers by removing unnecessary software and files and fixes problems ...

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  7. 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.

  8. AOL Tech Fortress | 30-Day Free* Trial | AOL Products

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    Windows: Microsoft Windows 7 SP1 or later. 1GB RAM and 100 megabytes of free hard disk space, 1.80 GHz or faster 2 cores and x86/x64 compatible architectures. One PC per purchase. One PC per purchase.

  9. Foreground detection - Wikipedia

    en.wikipedia.org/wiki/Foreground_detection

    Foreground detection is one of the major tasks in the field of computer vision and image processing whose aim is to detect changes in image sequences. Background subtraction is any technique which allows an image's foreground to be extracted for further processing (object recognition etc.).