Hands-On Image Processing with Python

Image types (modes)

An image can be of the following different types:

• Single channel images—each pixel is represented by a single value:
  • Binary (monochrome) images (each pixel is represented by a single 0-1 bit)
  • Gray-level images (each pixel can be represented with 8-bits and can have values typically in the range of 0-255)
• Multi-channel images—each pixel is represented by a tuple of values:
  • 3-channel images; for example, the following:
    •  RGB images—each pixel is represented by three-tuple (r, g, b) values, representing red, green, and blue channel color values for every pixel.
    • HSV images—each pixel is represented by three-tuple (h, s, v) values, representing hue (color), saturation (colorfulness—how much the color is mixed with white), ...