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GUM v.1.0.028Enhance filtersDo you want to sell your old car? Here is the tool to enhance the advertisement image.DeinterlaceThis filter will help you adjust images captured by video cards. Sometimes the even or odd field doesn't get captured correctly, then you can use this filter to fix it.. Despeckle
If your image is just noisy, or suffers from moire effects, use Despeckle over the whole image. If dust or scratches is your problem, select the damage with the free selection tool, and use Despeckle on that selection. You have the following choices; Only Radius, Radius and Recursive, Adaptive or Adaptive and Recursive. Radius refers to the window size from 1 (3x3 pixels) to 20 (41x41). The image will be chopped up in several windows, with a specified size of for example 3x3 pixels. In each of these windows the filter will try to smooth the color range, and thereby remove unwanted defects like scratches or noisy pixels. How to use itIf you use Only Radius, a general algoritm is used to smooth the color range. If you set the radius high, the blur level will also be high. If you use Radius and Recursive you can use a smaller radius to get the same effect as with a large radius and no recursive. Be careful though, Recursive can easily result in unwanted blurring. If you use the Adaptive filter, the algoritm will try to calculate the best window-size by itself, and use a general algoritm to smooth the color range in each window. If you use Adaptive and Recursive, a recursive algoritm will be used in the windows, calculated by the adaptive algoritm.
Destripe
NL Filter
There are three filters in this plug-in: Alpha trimmed mean, Optimal estimation smoothing and Edge enhancement. Alpha trimmed mean is the filter to use when removing "pop" and single noise spots in the image (set alpha to 0.5). Radius is the strength of the filter, and Alpha determines whether the filter will just smooth out, or reduce noise. Recommended values are between 0.0 and 0.5. If you use values over 0.5 funny things will happen (can be quite artistic). Optimal estimation smoothing This filter is a bit different from the first, and is very good for reducing dithering noise. Low Alpha values makes the smoothing subtle and high values (1.0) smooths all parts of the image. Radius should be from 0.8 to 1.0 for this filter to work correctly. Edge enhancement is the opposite of the smoothing filter. It sharpens edges instead of blurring them. Radius stands for the effectiveness of the filter. Useful values range somewhere between 0.5 and 0.9. Sharpen
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