Difference between revisions of "Hugin hdrmerge"
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m (Thomas moved page Hdrmerge to Hugin hdrmerge: Fixes program name) |
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− | hdrmerge combines multiple overlapping images into a single HDRI (high dynamic range image). It is useful for combining multiple LDR images into a single HDR image. | + | hdrmerge combines multiple overlapping images into a single HDRI (high dynamic range image). It is useful for combining multiple LDR images into a single HDR image. The input images should be in linear colorspace. |
+ | |||
+ | There are 2 merge modes available: | ||
+ | * Average: here the average of each pixel is calculated. Over and under exposure pixel are ignored. | ||
+ | * Khan: Here the Khan algorithm is used to reduce or eliminate in best case ghosts (e.g. moving objects in the different images). | ||
+ | |||
+ | == Parameters == | ||
+ | |||
+ | * <tt>-o|--output prefix</tt>: sets the filename for the output | ||
+ | * <tt>-v|--verbose</tt>: activates verbose output (for more details during processing). | ||
+ | * <tt>-h|--help</tt>: Shows the help | ||
+ | * <tt>-m mode</tt>: Sets the merge mode. Can be <tt>avg</tt> (default) or <tt>khan</tt>. | ||
+ | |||
+ | If the merge mode is average, the follow parameters can be used | ||
+ | * <tt>-c</tt>: Only consider pixels that are defined in all images. | ||
+ | |||
+ | The Khan algorithm can be fine tuned with | ||
+ | * <tt>-i iter</tt>: Sets the number of iterations to execute (default is 4). | ||
+ | * <tt>-s sigma</tt>: Sets standard deviation of Gaussian weighting function (sigma > 0); default: 30. | ||
+ | * <tt>-a set</tt>: Set advanced settings. Possible options are: | ||
+ | ** <tt>f</tt>: use gray images for computation. It's about two times faster but it usually returns worse results. | ||
+ | ** <tt>g</tt>: use gamma 2.2 correction instead of logarithm | ||
+ | ** <tt>m</tt>: do not scale image, NOTE: slows down process | ||
+ | |||
+ | [[Category:Software:Hugin]] |
Latest revision as of 17:48, 10 July 2017
hdrmerge combines multiple overlapping images into a single HDRI (high dynamic range image). It is useful for combining multiple LDR images into a single HDR image. The input images should be in linear colorspace.
There are 2 merge modes available:
- Average: here the average of each pixel is calculated. Over and under exposure pixel are ignored.
- Khan: Here the Khan algorithm is used to reduce or eliminate in best case ghosts (e.g. moving objects in the different images).
Parameters
- -o|--output prefix: sets the filename for the output
- -v|--verbose: activates verbose output (for more details during processing).
- -h|--help: Shows the help
- -m mode: Sets the merge mode. Can be avg (default) or khan.
If the merge mode is average, the follow parameters can be used
- -c: Only consider pixels that are defined in all images.
The Khan algorithm can be fine tuned with
- -i iter: Sets the number of iterations to execute (default is 4).
- -s sigma: Sets standard deviation of Gaussian weighting function (sigma > 0); default: 30.
- -a set: Set advanced settings. Possible options are:
- f: use gray images for computation. It's about two times faster but it usually returns worse results.
- g: use gamma 2.2 correction instead of logarithm
- m: do not scale image, NOTE: slows down process