That's why I am doing some research related to high dynamic range imaging (HDRI). I have already done some work in OpenCV related to anchoring and ghost removal (no real HDR manipulation or creation), and now I want to start working with HDR images.
Can a good open source HDR library recommend that allow me to do the following:
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Read / Write to HDR format (I I'm open to suggestions, so I'm open here for suggestions)
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Mix images of exposure-brackets to get HDR images, but in a way From, the camera function that is created so that I later And could be used to use different numbers of EB images to contribute to various parts of the HDR image.
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The interface is relatively easy to openCV (see below for details).
If it is a library that allows easy interfacing with OpenCV, then it would be ideal. I do not think there is currently any HDR functionality in OpenCV, but can someone tell me that there is a way to convert the HDR image into a format that will work with OpenCV algorithons such as exploration? For example, I know that OpenCV 64-bit floating point can work with images; Can I convert an HDR image to one of these formats and run with it?
Thank you.
Hey, I had asked before long time, and just by my question on Google again I thought I would provide a quick update
After the fair work I tried with Magick ++, I managed to work it in the OpenXR format but the radians (.hdr) was never able to work, which is a shame because I am I work a lot in ATLAB which reads radians only for HDR.
Next, I tried the free image I was able to read / write PFM formats along with HDR, but I had to actually close the file format format, i.e. opencv matte from a fibetmap It is difficult to get in, and near impossible to bring it back to the FibiTemap.
Finally, I have just started using Portable Float Maps (PFM), and read and write them with your code because the format is very simple. Again, this is in a research setting, so when PFM is a long time Strorange or a very weird format for commercial use, then it is very good for research purposes
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