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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]
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.
Image editors may feature a number of algorithms which can add or remove noise in an image. Some JPEG artifacts can be removed; dust and scratches can be removed and an image can be de-speckled. Noise reduction merely estimates the state of the scene without the noise and is not a substitute for obtaining a "cleaner" image.
Instead, you can list the image without actually displaying it. For example, let's say this image was a fair use image: If it were a fair use image (it isn't, it is in the public domain as a work of the U.S. government), then displaying it on one's userspace (or here in the Wikipedia project space) would be against policy. So, alternatively one ...
do not use this form for images found somewhere on the internet or created by someone else. If you are prepared to do this, and are logged in to your Wikipedia account, click here Before you can upload images you will need to register an account .
The technique has been used in many fields to remove a background from the subject of a photo or video – particularly the newscasting, motion picture, and video game industries. A colour range in the foreground footage is made transparent, allowing separately filmed background footage or a static image to be inserted into the scene.
For calculating the image containing only the background, a series of preceding images are averaged. For calculating the background image at the instant t: (,,) = = (,,) where N is the number of preceding images taken for averaging. This averaging refers to averaging corresponding pixels in the given images.
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