Noise

Camera Noise:

Digital cameras sensors are getting better every day, still the problem of noise is candidate to be there for long time. A sensor is a very sophisticated electronic device, which has been designed to replace the old fashioned film in analogical cameras.

A sensor has millions of very small foto-sensitive elements which receive the light coming from the camera lens. Although the technology is improving quicly, making very sensitive, small electronic receivers is not trivial. The main problem of sensors is with low light conditions. Cameras have different iso settings which are suitable to shot in low light, but what these settings actually do is to merely "amplify" the signal received by each sensitive cell. Thus if the signal is very low some information is clipped and the resulting pixels in the picture will have different colors from the ones expected. This problem is referred to as "Camera Noise".

Camera Noise is basically of two types: Luminance noise (that means some pixels are darker than they should be) and Chroma noise that means some pixels have wrong colors (sometimes dramatically wrong due to heavy clipping).

Focus Photoeditor provides automatic algorithms to correct the two kind of noise discussed above.

Remove Chroma Noise

In the example below a red chroma noise is present in the blue sky. The noise is removed automatically:

Remove Luminance Noise

Artifacts from Jpeg Compression: As you probably know jpeg is a lossy format and high compression rates shouldn't be used when saving to this format. A heavily compressed Jpeg can present small and big artefacts.

Use Remove RGB Noise and other Noise Reduction algorithm to get rid of this problem.