dng | Archschema : graphs of related Pfam domain architectures | Genomics library

If I understand correctly, you are trying to draw outside a window.

Every time you SetPixel you send a WM_PAINT message, which repaints the whole window. That dramatically slows down your program. What you should do is use GDI, GDI+ or Direct2D to create a bitmap or a rectangle to then draw it at once.

Drawing outside a window is never a good idea. You have no control on what you just drew, and it will disappear when something interrupts it.

If you want a blue block without a title bar, create a layered window, then create a rectangle and draw it.

Microsoft's documentation might not be a tutorial, but it is informative.

Here is the Direct2D documentation: https://docs.microsoft.com/en-us/windows/win32/direct2d/getting-started-with-direct2d

And here is how to create a layered window: https://docs.microsoft.com/en-us/windows/win32/winmsg/window-features#layered-windows

Edit: Comment said that SetPixel doesn't send WM_PAINT. What I am saying is SetPixel repaints the window.

The main reason for getting wrong colors is that we have to normalize the rows of rgb2cam matrix to 1, as described in the following guide.

According to DNG spec:

ColorMatrix1 defines a transformation matrix that converts XYZ values to reference camera native color space values, under the first calibration illuminant.

It means that if the calibration illuminant is D65, the ColorMatrix converts XYZ to "camera RGB".
(Convert it as is, without using any white balance scaling coefficients).

• The inverse ColorMatrix, converts from "camera RGB" to XYZ.
  After converting XYZ to sRGB, the result is color balanced sRGB.
  The conclusions is that ColorMatrix includes the while balance coefficients in it (the white balancing coefficients apply D65 illuminant).
• Normalizing the rows of rgb2cam to 1 neutralizes the while balance coefficients, and keeps only the "Color Correction Matrix" (the math is a bit complicated).
• Without normalizing the rows, we are scaling by while balance multipliers two times:

1. Scale coefficients from ColorMatrix that balances the input to D65.
2. Scale coefficients taken from AsShotNatural that balances the input to the illuminant of the scene (illuminant of the scene is close to D65).
   The result of scaling twice is an extreme color cast.

Tracking the maximum in order to avoid "magenta cast in the highlights":

Instead of tracking the actual maximum color values in the input image, we suppose to track the "theoretical maximum color value".

• Take whitelevel - blacklevel and scale by the white balance multipliers.
  Track the result...

The guiding rule is that the colors supposed to be the same in both cases:

• Applying the processing to small patches of the image, and places the patches together (where we can't track the global minimum and maximum).
• Applying the processing to the entire image.

I suppose you have to track the maximum of scaled whitelevel - blacklevel, only when white balance multipliers are less than 1.
When all the multipliers are 1 or above, we can clip the result to 1.0, without tracking the maximum.
Note:

• there is probably an advantage of scaling down, and tracking the maximum, but I don't know this subject.
  In my solution we just multiply upper (above 1.0), and clip the result.

The solution is based on Processing RAW Images in MATLAB guide.

I am posting both MATLAB implementation and Python implementation (but no Rust implementation).

The first step is extracting the raw Bayer image from sample.dng using dcraw command line:

Since Aspose.Imaging is a paid product, you should contact them at their site for support.

There is a free forum specially for Aspose products: https://forum.aspose.com/

Everyone that have experienced with Aspose errors know that the errors are hard to understand due to their obfuscation of the code, so the best solution is to contact them directly.

You can't exactly get input to a file but you can get the input from the user and insert it into a file. You open a file as open("filename.txt,"r") to read or "w" to write or "r+" for both.

I solved that problem by using dng sdk.

Pipeline for using class from link in the end of answer is here:

You can use an empty list and add items to it in each loop like this:

there is an issue raised on github to solve this problem (https://github.com/Bassman2/MediaDevices/issues/32). The problem is that you are building your app on top of .NET Core 3.1, and this lib works well on .NET Framework 4.* as they warn when you build your project:

Package 'MediaDevices 1.8.0' was restored using '.NETFramework,Version=v4.6.1, .NETFramework,Version=v4.6.2, .NETFramework,Version=v4.7, .NETFramework,Version=v4.7.1, .NETFramework,Version=v4.7.2, .NETFramework,Version=v4.8' instead of the project target framework '.NETCoreApp,Version=v3.1'. This package may not be fully compatible with your project

Google Colab server is run in USA (North America).

So, to avoid network cost, you should host your gcs bucket in USA as well (instead of Germany).

Well, I've tried LibRaw: https://github.com/LibRaw/LibRaw. It's able to export my LinearDNG to TIFF. And I can open TIFF with CoreImage. The white balance is wrong though. I assume this is because libraw reads metadata wrong ( file samples/raw-identify.cpp ).

The code for exporting to TIFF is in file samples/simple_dcraw.cpp