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Titlebook: Creating and Enhancing Digital Astro Images; Grant Privett Book 2007 Springer-Verlag London 2007 Astronomers.CCD.Digital.Enhancing.astrono

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樓主: 珍愛
41#
發(fā)表于 2025-3-28 18:34:52 | 只看該作者
Image Reduction,n, but it’s easiest to just collect lots of images and do the job properly every time. They define how successful the subsequent image enhancement stage will be. Do them properly and reap the full rewards later.
42#
發(fā)表于 2025-3-28 19:57:01 | 只看該作者
The Problems, image can be a tricky decision. Stop too soon and you deny yourself the best possible result from your imaging, but keep on going and you, potentially, waste a lot of time you might have used for something more rewarding or productive.
43#
發(fā)表于 2025-3-28 23:14:31 | 只看該作者
44#
發(fā)表于 2025-3-29 03:34:19 | 只看該作者
Probleme eines Bereichsvorstands,addressed carefully by the best imagers. Some of them you may not be able to implement due to equipment limitations or other constraining circumstances. Those of you using camera lenses instead of telescopes will also find some of the information below of interest.
45#
發(fā)表于 2025-3-29 07:19:49 | 只看該作者
Acquiring Images,addressed carefully by the best imagers. Some of them you may not be able to implement due to equipment limitations or other constraining circumstances. Those of you using camera lenses instead of telescopes will also find some of the information below of interest.
46#
發(fā)表于 2025-3-29 11:25:50 | 只看該作者
1431-9756 Non-mathematical approach.Illustrated examples of an image p.The book will, in jargon-free blow-by-blow terms, describe how to create the best astronomical images you can with the digital camera equipment at your disposal. It will explain the steps we go through to extract results from the raw-and-d
47#
發(fā)表于 2025-3-29 19:00:40 | 只看該作者
48#
發(fā)表于 2025-3-29 21:58:12 | 只看該作者
,Der übergangene planende Kopf,ding arena of image processing the differences become more important. What you would ideally need is a display system which could accurately display at least as many gray levels or color shades as your image contains. A 16 bit monochrome image could contain 65,536 shades of gray, and a 48 bit color image could contain billions of individual hues.
49#
發(fā)表于 2025-3-30 01:11:08 | 只看該作者
50#
發(fā)表于 2025-3-30 05:41:58 | 只看該作者
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