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OpenCV
4.5.0
Open Source Computer Vision
|
Functions | |
| void | cv::intensity_transform::autoscaling (const Mat input, Mat &output) |
| Given an input bgr or grayscale image, apply autoscaling on domain [0, 255] to increase the contrast of the input image and return the resulting image. More... | |
| void | cv::intensity_transform::BIMEF (InputArray input, OutputArray output, float mu=0.5f, float a=-0.3293f, float b=1.1258f) |
| Given an input color image, enhance low-light images using the BIMEF method ([ying2017bio] [ying2017new]). More... | |
| void | cv::intensity_transform::BIMEF (InputArray input, OutputArray output, float k, float mu, float a, float b) |
| Given an input color image, enhance low-light images using the BIMEF method ([ying2017bio] [ying2017new]). More... | |
| void | cv::intensity_transform::contrastStretching (const Mat input, Mat &output, const int r1, const int s1, const int r2, const int s2) |
| Given an input bgr or grayscale image, apply linear contrast stretching on domain [0, 255] and return the resulting image. More... | |
| void | cv::intensity_transform::gammaCorrection (const Mat input, Mat &output, const float gamma) |
| Given an input bgr or grayscale image and constant gamma, apply power-law transformation, a.k.a. gamma correction to the image on domain [0, 255] and return the resulting image. More... | |
| void | cv::intensity_transform::logTransform (const Mat input, Mat &output) |
| Given an input bgr or grayscale image and constant c, apply log transformation to the image on domain [0, 255] and return the resulting image. More... | |
Namespace for all functions is cv::intensity_transform.
References from following book and websites:
#include <opencv2/intensity_transform.hpp>
Given an input bgr or grayscale image, apply autoscaling on domain [0, 255] to increase the contrast of the input image and return the resulting image.
| input | input bgr or grayscale image. |
| output | resulting image of autoscaling. |
| void cv::intensity_transform::BIMEF | ( | InputArray | input, |
| OutputArray | output, | ||
| float | mu = 0.5f, |
||
| float | a = -0.3293f, |
||
| float | b = 1.1258f |
||
| ) |
#include <opencv2/intensity_transform.hpp>
Given an input color image, enhance low-light images using the BIMEF method ([ying2017bio] [ying2017new]).
| input | input color image. |
| output | resulting image. |
| mu | enhancement ratio. |
| a | a-parameter in the Camera Response Function (CRF). |
| b | b-parameter in the Camera Response Function (CRF). |
| void cv::intensity_transform::BIMEF | ( | InputArray | input, |
| OutputArray | output, | ||
| float | k, | ||
| float | mu, | ||
| float | a, | ||
| float | b | ||
| ) |
#include <opencv2/intensity_transform.hpp>
Given an input color image, enhance low-light images using the BIMEF method ([ying2017bio] [ying2017new]).
This is an overloaded function with the exposure ratio given as parameter.
| input | input color image. |
| output | resulting image. |
| k | exposure ratio. |
| mu | enhancement ratio. |
| a | a-parameter in the Camera Response Function (CRF). |
| b | b-parameter in the Camera Response Function (CRF). |
| void cv::intensity_transform::contrastStretching | ( | const Mat | input, |
| Mat & | output, | ||
| const int | r1, | ||
| const int | s1, | ||
| const int | r2, | ||
| const int | s2 | ||
| ) |
#include <opencv2/intensity_transform.hpp>
Given an input bgr or grayscale image, apply linear contrast stretching on domain [0, 255] and return the resulting image.
| input | input bgr or grayscale image. |
| output | resulting image of contrast stretching. |
| r1 | x coordinate of first point (r1, s1) in the transformation function. |
| s1 | y coordinate of first point (r1, s1) in the transformation function. |
| r2 | x coordinate of second point (r2, s2) in the transformation function. |
| s2 | y coordinate of second point (r2, s2) in the transformation function. |
#include <opencv2/intensity_transform.hpp>
Given an input bgr or grayscale image and constant gamma, apply power-law transformation, a.k.a. gamma correction to the image on domain [0, 255] and return the resulting image.
| input | input bgr or grayscale image. |
| output | resulting image of gamma corrections. |
| gamma | constant in c*r^gamma where r is pixel value. |
#include <opencv2/intensity_transform.hpp>
Given an input bgr or grayscale image and constant c, apply log transformation to the image on domain [0, 255] and return the resulting image.
| input | input bgr or grayscale image. |
| output | resulting image of log transformations. |
1.8.9.1