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Wavelet Based Sharpening Using PixelMath

This technique sharpens an image by overlaying extracted wavelet layers onto an unsharpened image in PixInsight. It is implemented by copying an equation (included below) into PixelMath, extracting up to four wavelet layers using the ExtractWaveletLayers script (under Image Analysis), and editing the equation in PixelMath based on which wavelet layers are used to sharpen the image. Abbreviated instructions are shown below and complete instructions are in the video. This is the equation that is copied and pasted into PixelMath.

combine(original,combine(layer00,combine(layer00,combine(layer00,layer00,op_overlay()),op_overlay()),op_overlay()),op_overlay())

The variable 'original' will be substituted with the name of the image file that you are sharpening. You will extract up to four wavelet layers in PixInsight (Scripts -- Image Analysis -- ExtractWaveletLayers). The four instances of the variable 'layer00' can be edited to include ANY COMBINATION of the
four extracted wavelet layers (layer00, layer01, layer02, and layer03). For example, all four can remain as layer00, in which case only layer00 will be used to sharpen the image. Or, you can replace one, two, three or all four to include any or all of the other extracted layers. Several examples are shown in the video but they are NOT the only possibilities. ANY COMBINATION OF LAYERS CAN BE ASSIGNED to these four instances of 'layer00'. You will visually determine which combination gives you the 'best' sharpened image. You can also use PixelMath to do a weighted combination of the resulting images.

Видео Wavelet Based Sharpening Using PixelMath канала Craig Calvert
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22 ноября 2022 г. 8:19:36
00:08:26
Яндекс.Метрика