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2. 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.

3. 5 easy ways to customize your email inbox and give it a ... - AOL

   www.aol.com/lifestyle/5-easy-ways-customize...

   You can choose from a slew of free background images, custom sounds and color options, plus enjoy advanced mail filtering, which lets you see every single attachment and image ever received from ...

4. Customize your Inbox theme, font size and layout in AOL Mail

   help.aol.com/articles/customize-your-inbox-theme...

   Choose a theme, change your message layout, enable the message preview pane, and select appropriate inbox spacing to customize your Inbox and create the perfect email experience. Select Inbox spacing 1.

5. Comparison gallery of image scaling algorithms - Wikipedia

   en.wikipedia.org/wiki/Comparison_gallery_of...

   The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest-neighbor interpolation. Other scaling methods below are better at preserving smooth contours in the image.

6. Update your AOL profile image

   help.aol.com/articles/update-AOL-profile-image

   1. Sign in to your AOL account. 2. Click your profile name. 3. Click Personal Info. 4. Click Update profile photo. 5. Select Upload from device. 6. Edit the photo by cropping or rotating it, or by adding a filter.

7. 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.