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OpenCV
4.6.0
Open Source Computer Vision
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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 k, float mu, float a, float b) |
Given an input color image, enhance low-light images using the BIMEF method ([271] [272]). 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 ([271] [272]). 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 | 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 ([271] [272]).
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::BIMEF | ( | InputArray | input, |
OutputArray | output, | ||
float | mu = 0.5f , |
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float | a = -0.3293f , |
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float | b = 1.1258f |
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) |
#include <opencv2/intensity_transform.hpp>
Given an input color image, enhance low-light images using the BIMEF method ([271] [272]).
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::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. |