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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 ...
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.
For fair use images: with no non-free use rationale if the image was uploaded after May 4, 2006, tag the image as {{}}.; with vague or inappropriate justifications that do not meet non-free content guidelines, tag the image as {{subst:dfu|reason that the image does not meet the criteria}}.
Image destriping is the process of removing stripes or streaks from images and videos without disrupting the original image/video. These artifacts plague a range of fields in scientific imaging including atomic force microscopy , [ 2 ] light sheet fluorescence microscopy , [ 3 ] and planetary satellite imaging .
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.