Image.replicate#
- Image.replicate(n: int = 1) Self[source]#
Replicate image pixels
- Parameters:
n (int, optional) – replication factor, defaults to 1
- Returns:
image with replicated pixels
- Return type:
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(size=5) >>> img.print() 9 79 162 219 250 177 130 10 243 130 168 248 52 173 178 115 240 147 236 187 23 192 78 23 242 >>> bigger = img.replicate(2) >>> bigger.print() 9 9 79 79 162 162 219 219 250 250 9 9 79 79 162 162 219 219 250 250 177 177 130 130 10 10 243 243 130 130 177 177 130 130 10 10 243 243 130 130 168 168 248 248 52 52 173 173 178 178 168 168 248 248 52 52 173 173 178 178 115 115 240 240 147 147 236 236 187 187 115 115 240 240 147 147 236 236 187 187 23 23 192 192 78 78 23 23 242 242 23 23 192 192 78 78 23 23 242 242
Note
Works only for greyscale images.
The resulting image is “blocky”, apply Gaussian smoothing to reduce this.
- References:
P. Corke, Robotics, Vision & Control for Python, Springer, 2023, Section 11.7.2.
- Seealso: