[4K] Converting HOO Palette of NORTH AMERICA NEBULA into "SHO" Palette by Siril (feat. ChatGTP)

Описание к видео [4K] Converting HOO Palette of NORTH AMERICA NEBULA into "SHO" Palette by Siril (feat. ChatGTP)

This video demonstrates how to step-by-step transform a narrowband one shot camera (OSC) image into Hubble palette or SHO palette images using Siril. Ever dreamt of creating your own breathtaking orange-blue deep sky images? With just a dual bandpass filter, that dream becomes achievable. Traditionally, crafting these captivating palettes requires three narrowband images: SII for red, Ha for green, and OIII for blue. However, lacking data for the red channel presented a challenge for me since I did not have an SII filter.

With guidance from ChatGPT, I obtained a solution: blending Ha and OIII to construct the missing red channel. In this time, I decided to use previous published North America Nebula (NGC 7000) data as a demo (   • [Relaxing] Image Processing of NORTH ...  ). Through meticulous processing in Siril, I was able to generate images that closely resembled the desired Hubble or SHO palette. In addition, it's worth noting that I preserved the natural colors of the stars, opting not to alter their hues.

Additionally, to simplify the process for those unfamiliar with image manipulation software, I utilized ImageJ to compute the average Ha + OIII channel. However, using just the Ha or OIII channel is a viable alternative for those seeking a more simplified approach.

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Settle in, relax, and enjoy the wonder of the deep sky imaging processing as it is designed without spoken commentary, allowing you to immerse yourself fully in beauty of our universe.
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