本站提供正體中文版。切換到正體中文本站提供简体中文版。切换到简体中文このサイトには日本語版があります。日本語で表示이 사이트는 한국어로도 제공됩니다.한국어로 보기Diese Website ist auch auf Deutsch verfügbar.Auf Deutsch ansehenEste sitio web también está disponible en español.Ver en españolQuesto sito è disponibile anche in italiano.Visualizza in italianoCe site est également disponible en français.Afficher en françaisEste site também está disponível em português.Ver em portuguêsDeze website is ook beschikbaar in het Nederlands.In het Nederlands bekijkenЭтот сайт также доступен на русском языке.Смотреть на русскомयह वेबसाइट हिन्दी में भी उपलब्ध है।हिन्दी में देखेंهذا الموقع متاح أيضًا باللغة العربية.عرض بالعربيةSitus ini juga tersedia dalam bahasa Indonesia.Lihat dalam bahasa IndonesiaBu site Türkçe olarak da mevcut.Türkçe görüntüleTa strona jest dostępna także po polsku.Wyświetl po polskuTrang web này cũng có phiên bản tiếng Việt.Xem bằng tiếng Việtاین وب‌سایت به فارسی هم در دسترس است.مشاهده به فارسی

Manual Preprocessing: What to Do Without WBPP

Preprocessing & Stacking2022.04

PixInsight’s WBPP script is extremely convenient, and the current version can complete almost all preprocessing work automatically. If that is so, why bother learning the manual workflow? Because when the software runs into trouble, or the image itself is not suited to being handed over to WBPP from start to finish, doing it manually step by step is often the only way to confirm the state of the image without wasting time. This article gathers the manual preprocessing workflow for monochrome-camera images, and when you should switch to manual.

The Manual Preprocessing Workflow for a Monochrome Camera

Take a set of LRGBHa images shot with a monochrome CCD camera as an example (where LRGB is Bin 1 and Ha is Bin 2). The whole preprocessing workflow goes roughly as follows:

The manual preprocessing workflow for monochrome-camera LRGBHa

  1. Use WBPP to calibrate the images.
  2. Make a Defect Map.
  3. Use Cosmetic Correction to clear hot pixels.
  4. Use the Defect Map to clear bad columns.
  5. Register the LRGB images (Bin 1).
  6. Register the Ha images (Bin 2).
  7. Run NSG on each channel separately.
  8. Set an appropriate rejection method and integrate each channel separately.

A few differences to keep in mind:

  • CMOS cameras: the only difference is that you skip the step of clearing defect columns (step 4); the rest is essentially the same.
  • OSC (color) cameras: the difference is that you must Debayer before registration; you can also do CFA Drizzle, but the workflow is more complex.
  • Of course, if the images have no problems at all, processing CMOS images with the latest WBPP can shrink the above steps down to a single step—provided WBPP is set up correctly.

When Should You Go Manual?

So, in what situations is it worth giving up “one-click WBPP” and going manual instead?

The result of manual preprocessing of five-channel M82 LRGBHa shot with “Latte” and a CCD

The typical scenario is: multi-night CCD shooting, with images that have many defects needing correction, and where each night has its own flats. In cases like this, manually making the required calibration frames, calibrating images, removing defects, registering stars, LN (NSG), and integrating images step by step is usually the better choice.

The image above is M82 shot with a Latte and a CCD, with each of the five LRGBHa channels finished through preprocessing and about to enter the linear stage—made exactly this way, step by step. You could of course throw all the files into WBPP and run them, but what comes out is often not what you want, and once you need a small fix you have to rerun the whole thing, which is quite a waste of time. Manual processing is slow, but it is the only way to confirm the state of the image at every stage without doing wasted work. Once you have practiced the fundamentals of preprocessing, you will know exactly which stage broke when something goes wrong.