Autoexposure

Name: AutoexposureVersion Id: 1.0.0.0
Description:The Autoexposure class contains attributes used to identify or describe the algorithm used to automatically calculate the proper exposure time. This is generally based on some kind of histogram analysis. The specific autoexposure algorithm used is defined in the processing_algorithm attribute, and the specific set of attributes needed to describe it will vary based on the algorithm. Examples of autoexposure algorithms include "Maki 2003" used on MER, MSL ECAMs, M2020 ECAMS; "Maurice 2012" used on MSL ChemCam; "Smith 1997" used on Mars Pathfinder Imager.
Namespace Id: imgSteward: imgRole: TBD_roleStatus: Active
Class Hierarchy: Data_​Processing :: Autoexposure
Attribute(s)NameCardinalityValue
 active_​flag0..1None
 processing_​venue0..1Ground, Ground Refined, None, Onboard, Onboard Both, Onboard Hardware, Onboard Software
 processing_​algorithm0..1None
 sequence_​number0..1None
 auto_​exposure_​alpha0..1None
 auto_​exposure_​data_​cut0..1None
 auto_​exposure_​percent0..1None
 auto_​exposure_​pixel_​fraction0..1None
 auto_​exposure_​lower_​threshold0..1None
 auto_​exposure_​lower_​limit0..1None
 auto_​exposure_​max_​delta0..1None
 auto_​exposure_​roi_​first_​line0..1None
 auto_​exposure_​roi_​first_​sample0..1None
 auto_​exposure_​roi_​lines0..1None
 auto_​exposure_​roi_​samples0..1None
 auto_​exposure_​target_​msv0..1None
 auto_​exposure_​upper_​threshold0..1None
 auto_​exposure_​upper_​limit0..1None
 max_​auto_​exposure_​iteration_​count0..1None
 exposure_​table0..1None
 exposure_​table_​update_​flag0..1None
 valid_​maximum_​pixel0..1None
 valid_​minimum_​pixel0..1None
Association(s)NameCardinalityClass
 White_​Balance0..1White_​Balance
Referenced from: Exposure