machinevisiontoolbox.Image.replicate

Image.replicate(n=1)

Replicate image pixels

Parameters:

n (int, optional) – replication factor, defaults to 1

Returns:

image with replicated pixels

Return type:

Image

Create an image where each input pixel becomes an \(n \times n\) patch of pixel values. This is a simple way of upscaling an image.

Example:

>>> from machinevisiontoolbox import Image
>>> img = Image.Random(5)
>>> img.print()
  24 124 165  92 207
  58  29  79 171  87
 249  44 216 223 127
  70 243  34 173 105
 158 145 184 100 182
>>> bigger = img.replicate(2)
>>> bigger.print()
  24  24 124 124 165 165  92  92 207 207
  24  24 124 124 165 165  92  92 207 207
  58  58  29  29  79  79 171 171  87  87
  58  58  29  29  79  79 171 171  87  87
 249 249  44  44 216 216 223 223 127 127
 249 249  44  44 216 216 223 223 127 127
  70  70 243 243  34  34 173 173 105 105
  70  70 243 243  34  34 173 173 105 105
 158 158 145 145 184 184 100 100 182 182
 158 158 145 145 184 184 100 100 182 182
Note:

  • Works only for greyscale images.

  • The resulting image is “blocky”, apply Gaussian smoothing to reduce this.

References:

  • Robotics, Vision & Control for Python, Section 11.7.2, P. Corke, Springer 2023.

Seealso:

decimate