Color Spaces Image Processing - Explained with RGB, CMY, HSI, Color Models

If we see an image, we see multiple combinations of color(s). Every value carries information about the image and we can alter the values according to our requirements. The point is which value should we change for our particular requirement.

If we talk about the color sensors present in a human eye, cones are the sensors responsible for color vision. Approximately 65% of all cones are sensitive to Red, 33% are sensitive to green and left 2% are sensitive to blue light. However, blue cones are most sensitive. So these are our primary colors– Red, Green, and Blue.

The color spaces in image processing aim to facilitate the specifications of colors in some standard way. Different types of color spaces are used in multiple fields like in hardware, in multiple applications of creating animation, etc.

In this video, video where we are going to discuss the role of color spaces in image processing.

Everything about Color Spacing:-
0:32 What is a color?
1:29 Types of Colors
2:10 What are color spaces?
2:32 Types of color spaces

The most common forms of color spaces according to the chroma graph include:
3:09 RGB or Red, Green, and Blue Model
3:29 CMY or Cyan, Magenta, and Yellow Model
3:57 HSI or Hue, Saturation, and Intensity Model

Check out more about color spaces conversions from our blog here https://www.cronj.com/blog/color-spac...

If you know more about Color space Image Processing then list them in the comments below for others to get the shot.

#imageprocessing #rgb #cronj

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