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Narrowband

ctnich

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  1. This is processed with PixInsight. Started with Deconvolution and Dynamic Background Extraction on each channel. Combined the channels with Pixel Math using the expression R=(0.2*Ha)+(0.8*Si), G=(0.8*Ha)+(0.1*Si)+(0.1*Oiii), B=(0.1*Si)+(0.9*Oiii). Extracted the lightness channel from the combined images as the Luminance channel to add back in after the color image is made to enhance the details. Then used the Dark Structure Enhance script to subtly enhance the contrast in the dark nebula areas On the color image I removed most of the purple using the magenta mask option of the Color Mask script. I used Starnet to separate the stars and nebula and used just enough Convolution to smooth the specific areas where starnet left artifacts. On the nebula image I used two iterations of applying the cyan, green, and yellow mask options of the Color Mask script and used Curves Transformation to adjust the color, saturation, hue, lightness, contrast, and a-b-c components of each iteration. The Exponential Transformation tool was used with the Lightness Mask checked to increase the brightness and contrast of the very faint details. I made 4 masks using the Range Selector and Curves Transformation processes with progressively less dark nebula selected so the smallest dark structures would receive the most sharpening using the Unsharp Mask tool. On the star image I used SCNR (Subtractive Chromatic Noise Reduction) to remove the purple and green colors from the stars and added saturation with the Color Saturation process. The star and nebula images were recombined using the StarNet expression Nebula+(0.6*Stars) and then used Convolution to soften the chromatic noise. The Luminance image was merged with the color image using the LRGB Combination process. I used HDR Multiscale Transform to bring out even more detail in the dark nebula and then made the final fine contrast adjustments with Curves Transformation. Thank you for the competition. I really enjoyed working with the great data. Cheers
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