Info

To define an effective custom filter, it is easiest to crop a test section from the whole image. Start with the standard filter that most nearly matches the filtration you wish to achieve, and then modify kj values and test the action on the small test image. When the custom filter works well, process the whole image.

• Tip: The Wavelet K-Sigma Filter in AIP4Win provides a versatile way to remove noise and graininess from images that have a mixture of noise types. The user checks whether each wavelet scale will be active, and specifies a kj value for each active wavelet scale. The Wavelet K-Sigma Filter is powerful and effective, but it has a fairly steep learning curve.

Original Noise-Filtered

Figure 18.12 This galaxy is only one among hundreds in Abell 1367. In the original image, structural details are difficult to distinguish from the random sky noise. After wavelet iterative noise processing, the sky background is smooth, and faint background galaxies show readily. Image courtesy of Greg Bothun.

Original Noise-Filtered

Figure 18.12 This galaxy is only one among hundreds in Abell 1367. In the original image, structural details are difficult to distinguish from the random sky noise. After wavelet iterative noise processing, the sky background is smooth, and faint background galaxies show readily. Image courtesy of Greg Bothun.

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