Let's start by saying, it is virtually impossible to completely remove noise from an image without slowly destroying the detail and local contrast, which is why some of the most powerful Noise Reduction tools rely on the user making selections to isolate areas.

The first implementation of our Noise Reduction tool uses 6 variables to achieve it's results. These options work on fine detail, so variations of these variables are very hard to notice without zooming in. Usually a 200% zoom value works pretty well for common digital camera images.

Iteration = This option controls the number of loops the function will repeat to produce the final results. Increasing this value to high could cause to much blurring depending on the image as well as taking very long. A good initial value is usually 1 or 2. Range (1-10)

Sharpness = This option tries to restore lost detail in the image so the higher the value the great the local sharpness. This variable usually doesn't need a value great than 1, but that is optional. Range (0-5)

Red, Green, Blue, Luminosity = These 4 options all control the amount of correction that is applied to each channel. These options are very soft and can be very hard to notice the changes in some images, so working with a zoomed images is usually essential if changing these values is required. The cleanest results are achieved when these value are higher so 100% is usually the best choice. Range (0-100%)

This is a before screen shot of an image (480% zoom) with noise on the mountain and in the sky. In addition to this, the noise is both luminosity and color based.

This is a screen shot of the noise reduction applied. Even though this image has been reduced from it's original size it is clearly visible that the many different colors in the sky have been reduced and that the mountain has a more consistent tone.