Abstract
With deconvolution complete, we now turn our attention to linear color processing. If you’ve been working with an OSC RGB master, you likely noted that background modelization greatly improved color balance (Chap. 9). With the majority of nasty pink and cyan light pollution gradients gone, you’d be closer to attaining true color. A one-shot color master would now be ready for three more steps toward great color balance. Before we see them, let’s allow monochrome processors to catch up.
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Keller, W.A. (2016). Linear Color Processing and Noise Reduction. In: Inside PixInsight. The Patrick Moore Practical Astronomy Series. Springer, Cham. https://doi.org/10.1007/978-3-319-25682-5_12
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DOI: https://doi.org/10.1007/978-3-319-25682-5_12
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