Class cv::TonemapDrago#
Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarithmic domain. View details
#include <opencv2/photo.hpp>Collaboration diagram for cv::TonemapDrago:
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#
Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarithmic domain.
Since it’s a global operator the same function is applied to all the pixels, it is controlled by the bias parameter.
Optional saturation enhancement is possible as described in FL02 .
For more information see DM03 .
Member Function Documentation#
getBias()#
float cv::TonemapDrago::getBias()
Python:
cv.TonemapDrago.getBias() -> retval
getSaturation()#
float cv::TonemapDrago::getSaturation()
Python:
cv.TonemapDrago.getSaturation() -> retval
setBias()#
void cv::TonemapDrago::setBias(float bias)
Python:
cv.TonemapDrago.setBias(bias)
setSaturation()#
void cv::TonemapDrago::setSaturation(float saturation)
Python:
cv.TonemapDrago.setSaturation(saturation)
Source file#
The documentation for this class was generated from the following file:
opencv2/photo.hpp