February 2019
Intermediate to advanced
672 pages
16h 50m
English
We saw an example of grayscaling earlier in this chapter. Arguably one of the most used image processing techniques, grayscaling is the process of reducing the dimensionality of the image pixel matrix by only considering the intensity information of each pixel, which is represented by the amount of light available.
As a result, pixels of grayscale images no longer hold three-dimensional information (red, green, and blue), and only one-dimensional black-and-white data. These images are exclusively composed of shades of gray, with black indicating the weakest light intensity and white indicating the strongest.
Grayscaling serves a number of important purposes in image processing. Firstly, as mentioned, it reduces the dimensionality ...