This algorithm transforms image to contrast using gradients on all levels of gaussian pyramid, transforms contrast values to HVS response and scales the response. After this the image is reconstructed from new contrast values.
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#include <opencv2/photo.hpp>
This algorithm transforms image to contrast using gradients on all levels of gaussian pyramid, transforms contrast values to HVS response and scales the response. After this the image is reconstructed from new contrast values.
For more information see [182] .
◆ getSaturation()
virtual float cv::TonemapMantiuk::getSaturation |
( |
| ) |
const |
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pure virtual |
Python: |
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| cv.TonemapMantiuk.getSaturation( | | ) -> | retval |
◆ getScale()
virtual float cv::TonemapMantiuk::getScale |
( |
| ) |
const |
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pure virtual |
Python: |
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| cv.TonemapMantiuk.getScale( | | ) -> | retval |
◆ setSaturation()
virtual void cv::TonemapMantiuk::setSaturation |
( |
float | saturation | ) |
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pure virtual |
Python: |
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| cv.TonemapMantiuk.setSaturation( | saturation | ) -> | None |
◆ setScale()
virtual void cv::TonemapMantiuk::setScale |
( |
float | scale | ) |
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pure virtual |
Python: |
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| cv.TonemapMantiuk.setScale( | scale | ) -> | None |
The documentation for this class was generated from the following file: