DeepSkyStacker 5.1.9 freeware

New Version

DeepSkyStacker, developed by Luc Coiffier, is an essential tool for astrophotographers seeking to enhance their celestial images. This free software excels in stacking multiple exposures, effectively reducing noise and improving detail in deep-sky photographs. Its user-friendly interface guides users through the process, making it accessible for both beginners and seasoned pros. With powerful calibration and alignment features, DeepSkyStacker transforms raw data into stunning visuals, elevating ... ...

Author Luc Coiffier
Released 2025-03-31
Filesize 66.70 MB
Downloads 559
OS Windows 11, Windows 10 32/64 bit
Installation Instal And Uninstall
Keywords DeepSkyStacker, Photo Enhancer, Photo Processor, Astrophotography, Sky, Astronomy, Exposure
Users' rating
(16 rating)
DeepSkyStackerEditorsWindows 11, Windows 10 32/64 bit
DeepSkyStacker - complex Freeware Download Notice

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DeepSkyStacker freeware - The Latest User Reviews
DeepSkyStacker freeware - The Latest Versions History
5.1.9 Mar 31, 2025 New Release Add code to FITSUtil.cpp to process FITS keywords DATAMIN and DATAMAX when reading floating point FITS files. If present use these to determine
the minimum and maximum pixel values instead of scanning the image data.
This should be a) much faster, and b) should result in consistent image scaling.
Also write these keywords when writing FITS floating point files.
Bug fix: Fix rounding error in "stack recap" dialogue in calculation of total exposure time.
Bug fix: Resolve problems with handling of saving filelist (empty extension amongst others).
Bug fix: Resolve problems with the ProcessingSettings dialogue.
Bug fix: Ensure that Visual C++ runtime build 34438 is installed.
Remove obsolete Score metric.
Bug fix: Open picture file should use the Linear transformation not log(Sqrt) so that the image is displayed correctly.
5.1.6 Jan 31, 2025 New Release Bug fix: When saving the project to a file-list, a default file name is suggested which is equal to the name of the current directory.
Bug fix: The circles around the stars and the comet stayed even after clearing the file list.
Lower the minimum detection threshold for registering from 2% to 1%.
Bug fix: Crash caused by trying to de-bayer 32 bits FITS files with the method AHD.
Bug fix: AVX support to prevent Illegal Instruction problem on earlier CPU types (e.g. Xeon X5650).
Bug fix: Add check box to control display of Black/White clipping in Processing panel.
Bug fix: Custom rectangle produces a partly empty stacking result when the SIMD acceleration is turned ON.
Implement an automatic threshold for star detection (which is the default) and a much better image quality indication (Quality) which is a
Gaussian mean of star quality as compared to the Score which was the sum of all star qualities (calculated differently) and was dependent
on the number of stars as well as their quality.
The automatic threshold will be in the range 0.05% and 100%, and the target number of stars is ~50.
The new Quality metric is primarily based on the average circularity ("roundness") of the stars in the image. It is
largely independent of the number of detected stars.
The background level, to which the star detection threshold refers, is now calculated locally per 250x250 pixel square rather than
globally over the entire image. This compensates for any background illumination gradients.
All light frame sorting criteria have been switched to use the new Quality value instead of the Score (e.g. for stacking the best x% light frames).
The first light frame to register will be either the first in the frame list, or the reference frame (if one was chosen). If auto-threshold
is used, the detected threshold of this light frame will serve as the basis for the threshold search of the following frames.
We suggest that you ensure that the first registered light frame is not significan
4.2.3 Feb 4, 2020 New Release The main changes in this release are
The 32 bit version will now run on Windows XP SP3. It is likely that the next release of DeepSkyStacker will not do so.

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