Module opencv::intensity_transform

The module brings implementations of intensity transformation algorithms to adjust image contrast.

Namespace for all functions is cv::intensity_transform.

Supported Algorithms

• Autoscaling
• Log Transformations
• Power-Law (Gamma) Transformations
• Contrast Stretching
• BIMEF, A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement ying2017bio ying2017new

References from following book and websites:

• Digital Image Processing 4th Edition Chapter 3 [Rafael C. Gonzalez, Richard E. Woods] Gonzalez2018
• http://www.cs.uregina.ca/Links/class-info/425/Lab3/ lcs435lab
• https://theailearner.com/2019/01/30/contrast-stretching/ theailearner

Modules

prelude

Functions

autoscaling

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.

bimef

Given an input color image, enhance low-light images using the BIMEF method (ying2017bio ying2017new).

bimef2

Given an input color image, enhance low-light images using the BIMEF method (ying2017bio ying2017new).

contrast_stretching

Given an input bgr or grayscale image, apply linear contrast stretching on domain [0, 255] and return the resulting image.

gamma_correction

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.

log_transform

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.