Class cv::MergeRobertson#
The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response. View details
#include <opencv2/photo.hpp>Collaboration diagram for cv::MergeRobertson:
Public Member Functions#
Public Member Functions inherited from cv::MergeExposures
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Merges images. |
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#
The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response.
For more information see RB99 .
Member Function Documentation#
process()#
void cv::MergeRobertson::process(
InputArrayOfArrays src,
OutputArray dst,
InputArray times )
Python:
cv.MergeRobertson.process(src, times, response[, dst]) -> dst
cv.MergeRobertson.process(src, times[, dst]) -> dst
process()#
void cv::MergeRobertson::process(
InputArrayOfArrays src,
OutputArray dst,
InputArray times,
InputArray response )
Python:
cv.MergeRobertson.process(src, times, response[, dst]) -> dst
cv.MergeRobertson.process(src, times[, dst]) -> dst
Merges images.
Parameters
src— vector of input imagesdst— result imagetimes— vector of exposure time values for each imageresponse— 256x1 matrix with inverse camera response function for each pixel value, it should have the same number of channels as images.
Source file#
The documentation for this class was generated from the following file:
opencv2/photo.hpp