Constructor
new AdditivePoissonNoiseAugmenter(lambda)
Parameters:
| Name |
Type |
Description |
lambda |
Object
|
options
Properties
| Name |
Type |
Attributes |
Default |
Description |
lambda |
Number
|
|
|
lambda is the exponent of the poisson distribution
|
scale |
Number
|
<optional>
|
1
|
if scale is defined (0 < scale < 1), then the noise can apply at a less granular scale |
perChannel |
Number
|
<optional>
|
false
|
If perChannel is true, then the sampled values may be different per channel (and pixel). |
|
- Source:
Examples
// Simple usage
ia.additivePoissonNoise(3);
//Simple usage with random variable
ia.additivePoissonNoise(h.integer(0, 3));
// Explicit usage with random variable
ia.additivePoissonNoise({
lambda: 3,
perChannel: true,
mean: 5
});
// Explicit usage with random variable
ia.additivePoissonNoise({
lambda: h.integer(0, 3),
scale: h.number(0.2, 1),
perChannel: h.boolean()
});