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Titlebook: Inside PixInsight; Warren A. Keller Book 2018Latest edition Springer Nature Switzerland AG 2018 Astro-image processing.PixInsight.Astronom

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發(fā)表于 2025-3-28 14:54:55 | 只看該作者
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發(fā)表于 2025-3-29 02:34:58 | 只看該作者
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發(fā)表于 2025-3-29 10:17:29 | 只看該作者
Linear Color Processing and Noise Reductionbackground modelization greatly improved color balance. With nasty pink and cyan light pollution gradients gone, you’d be closer to attaining true color. An OSC master would now be ready for three more steps toward great color balance. First, let’s allow monochrome processors to catch up.
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發(fā)表于 2025-3-29 14:49:39 | 只看該作者
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Nonlinear Noise Reductionow much nonlinear smoothing is required. As MultiscaleLinearTransform (MLT) does such an impressive job smoothing linear data, you may find that when sufficient signal has been collected, only a touch of additional smoothing is called for in the nonlinear space. Alternatively, you could have elected
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發(fā)表于 2025-3-29 22:02:09 | 只看該作者
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發(fā)表于 2025-3-29 23:55:59 | 只看該作者
Warren A. KellerRemains the leading print guide to PixInsight, detailing how to drastically improve your digital images through the software.Authored by the foremost expert on the software PixInsight, having created
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發(fā)表于 2025-3-30 08:00:16 | 只看該作者
The Patrick Moore Practical Astronomy Serieshttp://image.papertrans.cn/i/image/467790.jpg
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