COMPUTER COLOURING PROCESS

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HOW THE COMPUTER FINDS THE DIFFERENT COLOURS:

1. RGB (Red, Green, Blue):

  • How it Works: Colors are represented as combinations of red, green, and blue light. Each color channel typically has a value between 0 and 255.
  • Example: Pure red is (255, 0, 0), pure green is (0, 255, 0), and pure blue is (0, 0, 255).

2. CMYK (Cyan, Magenta, Yellow, Key/Black):

  • How it Works: This model is primarily used in color printing. It works by subtracting varying percentages of cyan, magenta, yellow, and black inks.
  • Example: A specific shade of green might be represented as (100%, 0%, 100%, 0%).

3. HSV (Hue, Saturation, Value):

  • How it Works: This model represents colors in terms of their hue (the type of color), saturation (the intensity of the color), and value (the brightness of the color).
  • Example: Pure red might be represented as (0°, 100%, 100%).

4. Hexadecimal (Hex):

  • How it Works: Colors are represented as a six-digit hexadecimal number, where the first two digits represent red, the next two represent green, and the last two represent blue.
  • Example: Pure red is #FF0000, pure green is #00FF00, and pure blue is #0000FF.

5. Lab Color Space:

  • How it Works: This model is designed to be more perceptually uniform, with colors represented by lightness (L*), green-red component (a*), and blue-yellow component (b*).
  • Example: A certain red might be represented as (53.232, 80.109, 67.220).

6. Named Colors:

  • How it Works: Some systems use predefined color names, like CSS color names in web development.
  • Example: "red", "green", "blue".

7. Color Matching Algorithms:

  • How it Works: For tasks like image processing and computer vision, algorithms are used to identify and match colors based on their numerical representations in the color models mentioned above.

Color Sensors and Devices:

  • How it Works: Hardware devices like cameras and color sensors capture colors by measuring light intensity in different parts of the spectrum, typically translating this data into one of the color models.
  • Example: A digital camera uses an image sensor to capture RGB data for each pixel.

HOW THE COMPUTER FINDS THE DIFFERENT COLOURS:

1. RGB (Red, Green, Blue):

  • How it Works: Colors are represented as combinations of red, green, and blue light. Each color channel typically has a value between 0 and 255.
  • Example: Pure red is (255, 0, 0), pure green is (0, 255, 0), and pure blue is (0, 0, 255).

2. CMYK (Cyan, Magenta, Yellow, Key/Black):

  • How it Works: This model is primarily used in color printing. It works by subtracting varying percentages of cyan, magenta, yellow, and black inks.
  • Example: A specific shade of green might be represented as (100%, 0%, 100%, 0%).

3. HSV (Hue, Saturation, Value):

  • How it Works: This model represents colors in terms of their hue (the type of color), saturation (the intensity of the color), and value (the brightness of the color).
  • Example: Pure red might be represented as (0°, 100%, 100%).

4. Hexadecimal (Hex):

  • How it Works: Colors are represented as a six-digit hexadecimal number, where the first two digits represent red, the next two represent green, and the last two represent blue.
  • Example: Pure red is #FF0000, pure green is #00FF00, and pure blue is #0000FF.

5. Lab Color Space:

  • How it Works: This model is designed to be more perceptually uniform, with colors represented by lightness (L*), green-red component (a*), and blue-yellow component (b*).
  • Example: A certain red might be represented as (53.232, 80.109, 67.220).

6. Named Colors:

  • How it Works: Some systems use predefined color names, like CSS color names in web development.
  • Example: "red", "green", "blue".

7. Color Matching Algorithms:

  • How it Works: For tasks like image processing and computer vision, algorithms are used to identify and match colors based on their numerical representations in the color models mentioned above.

Color Sensors and Devices:

  • How it Works: Hardware devices like cameras and color sensors capture colors by measuring light intensity in different parts of the spectrum, typically translating this data into one of the color models.
  • Example: A digital camera uses an image sensor to capture RGB data for each pixel.

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