There are several possible ways to assign a noise profile to a newly created image filtration job:
- Do not load default profile (in plug-in: Load last used profile)
If this variant is selected then no device noise profile is loaded when a new job is created. You will still be able to manually assign a noise profile for the input image.
If this variant is selected in plug-in, the profile is loaded that was used in plug-in the last time.- Auto profile image
If this variant is selected then a new profile is built by analyzing the input image;
This provides the most accurate noise analysis (if the input image contains enough flat featureless areas for analysis) but takes a bit more time.- Auto match profile
If this variant is selected then the most matching profile is selected by Profile Matcher;
This provides shorter overall processing times when ready-made noise profiles are available and can be matched against the input image.- Use specified default profile
If this variant is selected and a valid profile is specified here then it is automatically loaded when a new job is created. If this variant is selected in plug-in, then the specified profile is loaded into plug-in to process current image.
Useful when all input images were produced by the same device working in the same or similar device modes.Auto fine-tune profile
If this option is checked then Neat Image additionally fine-tunes assigned noise profile by analyzing the input image.
This provides higher accuracy of resulting noise reduction when the input image contains flat featureless areas suitable for fine-tuning noise analysis.
If a job is created using the command line interface in the standalone version of Neat Image then a noise profile is assigned according to the parameters specified in the command line. If the command line does not specify how to assign a profile for the task then the above Default device noise profile options are used.
There are several possible ways to automatically assign a filter preset to a newly created image filtration job:
- Do not load default preset (in plug-in: Load last used preset)
If this variant is selected in the standalone Neat Image then no specific preset is loaded from the hard drive when a new job is created. You will still be able to manually assign a filter preset for the input image.
If this variant is selected in plug-in, the preset is loaded that was used in plug-in the last time.- Auto match preset
If this variant is selected then Neat Image tries to automatically find a filter preset that matches the currently used noise profile or the input image (its ISO rate). Preset Matching options are used for this matching.
This setting is useful when you want to apply custom filtration to every input image according to your preferences.- Use specified default preset
If this variant is selected and a valid filter preset is specified then it is automatically loaded when a new job is created. If this variant is selected in plug-in, then the specified preset is loaded into plug-in to process current image.
This setting is useful when you want to apply the same filtration to all input images.If a job is created using the command line interface in the standalone version of Neat Image then a preset is assigned according to the parameters specified in the command line. If the command line does not specify how to assign a preset for the task then the above Default filter preset options are used.
This is the working color space selected by default when a new image filtration job is created (if there is no default profile selected; see Default device noise profile below). You can always change working color space later on, if necessary; this option just provides a default choice.
The working color space is a color space used by Neat Image to analyze and process images. There are three working color spaces available: RGB, YCrCb and YCrCb Symmetric. We recommend the use of YCrCb for color images and YCrCb Symmetric for grayscale (halftone) images.
The working color space does not affect or change any ICC profiles embedded in the image file.