Class cv::TonemapReinhard#
This is a global tonemapping operator that models human visual system. View details
#include <opencv2/photo.hpp>Collaboration diagram for cv::TonemapReinhard:
Public Member Functions#
Public Member Functions inherited from cv::Tonemap
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Tonemaps image. |
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Public Member Functions inherited from cv::Algorithm
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Clears the algorithm state. |
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Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. |
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Reads algorithm parameters from a file storage. |
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Stores algorithm parameters in a file storage. |
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Static Public Member Functions#
Static Public Member Functions inherited from cv::Algorithm
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Loads algorithm from the file. |
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Loads algorithm from a String. |
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Reads algorithm from the file node. |
Additional Inherited Members#
Protected Member Functions inherited from cv::Algorithm
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Detailed Description#
This is a global tonemapping operator that models human visual system.
Mapping function is controlled by adaptation parameter, that is computed using light adaptation and color adaptation.
For more information see RD05 .
Member Function Documentation#
getColorAdaptation()#
float cv::TonemapReinhard::getColorAdaptation()
Python:
cv.TonemapReinhard.getColorAdaptation() -> retval
getIntensity()#
float cv::TonemapReinhard::getIntensity()
Python:
cv.TonemapReinhard.getIntensity() -> retval
getLightAdaptation()#
float cv::TonemapReinhard::getLightAdaptation()
Python:
cv.TonemapReinhard.getLightAdaptation() -> retval
setColorAdaptation()#
void cv::TonemapReinhard::setColorAdaptation(float color_adapt)
Python:
cv.TonemapReinhard.setColorAdaptation(color_adapt)
setIntensity()#
void cv::TonemapReinhard::setIntensity(float intensity)
Python:
cv.TonemapReinhard.setIntensity(intensity)
setLightAdaptation()#
void cv::TonemapReinhard::setLightAdaptation(float light_adapt)
Python:
cv.TonemapReinhard.setLightAdaptation(light_adapt)
Source file#
The documentation for this class was generated from the following file:
opencv2/photo.hpp