Some cameras include a built-in feature called “noise reduction”. Noise reduction is implemented by sophisticated software that can identify the noise pixels and remove them. For example the software can identify the noise pixels based on their randomness and usually extreme intensity gap between them and their neighboring pixels. Removing the noise can be implemented by interpolating a replacement pixel value based on its neighboring pixels.

If you do not have a built-in noise reduction feature or it does not work properly you can use a PC based software that removes digital noise. Many photo processing software include a combination of automatic and manual digital noise removal. Some software packages can also use a few photos of the same object to “average” them and thus remove the noise (relying on the fact that digital noise is random and the noise pixels will be different in each photo taken).

To conclude digital noise should be understood by any amateur or professional photographer. However for most photographers digital noise is not a practical problem even in low light scenarios usually digital noise is minimal and can be significantly reduced by simply turning on your camera’s noise reduction feature. For professional photographers who shoot in more extreme conditions digital noise can present a real problem and can be dealt with using a combination of optimizing the camera settings and removing noise with professional software.