Author Topic: New Tool: HDRComposition  (Read 37481 times)

Offline Alejandro Tombolini

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Re: New Tool: HDRComposition
« Reply #30 on: 2011 February 19 16:57:29 »

The resulting HDR image is extremely dark, as expected. It is a linear image with a huge dynamic range (the whole range of the M42/M43 region) stored in a numeric range of at least 230 discrete sample values. Note that this HDR image does not fit into a 32-bit floating point image, where you can store a maximum of about 224 discrete values. This HDR image requires either the 32-bit unsigned integer format or the 64-bit floating point format, both available in PixInsight. The HDRComposition tool generates 64-bit floating point images by default, although 32-bit floating point can also be used as an option suitable for moderately large HDR compositions.

Here is the HDR image with an automatic STF applied. STFs are 16-bit look-up tables in PixInsight. Note that a 16-bit LUT causes posterization in the screen representation of this image. There is no surprise here, since as noted this is a 64-bit floating point image storing more than 230 discrete values.

My image is even with more posterization. Is there any way to visualize correctly and apply 
deconvolution without use histogram and lose linearity..., I can not see it good enough, mainly in dark regions.


Offline -Amenophis-

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Re: New Tool: HDRComposition
« Reply #31 on: 2018 March 13 10:04:11 »

Should we go through this process absolutely or can we stack all the images with different exposure times with the "ImageIntegration" process and then use the HDRMultiScale Transform process ?

Thank you
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