As an exercise I was interested to see how close an example Seestar S50 observation image could be processed to take on the 'look' of a target image.
As before a target image was loaded and a histogram applied to the Seestar S50 observation image data via a CDF (Cumulative Distribution Function) as shown below.
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| Histogram Matching Using CDFs |
The target image 'look' is shown below in more detail...
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Target Image for Matching to a 'Look'
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It can be seen that the resulting matched image has the general look of the target image - but appears significantly de-saturated. To see if it is just a matter of de-saturation the resulting matched image was imported into GIMP and adjustments made to both saturation and colour temperature.
Before adjustment in GIMP...
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| Resulting Matched Image Before Adjustment in GIMP |
... and after adjustment in GIMP...
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| Resulting Matched Image After adjustment in GIMP |
Although the resulting matched observation image has a similar 'look' to the target image - it required manual adjustment (GIMP). Experiments will be done to determine whether examination of other statistics will allow automation of that adjustment.