.. _`Random noise image`:

.. _`com.sympathyfordata.imageanalysis.random_noise`:

Random noise image
``````````````````

.. image:: image_noise.svg
   :width: 48


Adds noise to an image




Documentation
:::::::::::::

Algorithms
==========

    **Gaussian**
        Gaussian distributed white noise


        :mean: Mean value of gaussian noise

        :variance: Variance of gaussian noise

        :seed: Random seed, if zero then a fresh random seed is generated

        :clip: Clips the output to range 0..1




    **Pepper**
        Replaces random pixels with a 0


        :amount: Fraction of pixels that will be replaced

        :seed: Random seed, if zero then a fresh random seed is generated




    **Poisson**
        Poisson distributed noise generated from the data


        :seed: Random seed, if zero then a fresh random seed is generated

        :clip: Clips the output to range 0..1




    **Salt**
        Replaces random pixels with a 1


        :amount: Fraction of pixels that will be replaced

        :seed: Random seed, if zero then a fresh random seed is generated




    **Salt and pepper**
        Replaces random pixels with a 1 or a 0


        :amount: Fraction of pixels that will be replaced

        :salt vs pepper: Fraction of replaced pixels that will be replaced with a 1 (salt)

        :seed: Random seed, if zero then a fresh random seed is generated




    **Speckle**
        Multiplies incoming image with a uniform noise with given mean and variance


        :mean: Mean value of speckle noise

        :variance: Variance of speckle noise

        :seed: Random seed, if zero then a fresh random seed is generated

        :clip: Clips the output to range 0..1


Definition
::::::::::


Input ports
===========

    **source**  image
        source image to add noise to


Output ports
============

    **result**  image
        result after adding noise




Configuration
=============

    **Algorithm** (algorithm)
        (no description)
    **amount** (amount)
        (no description)
    **clip** (clip)
        (no description)
    **mean** (mean)
        (no description)
    **salt vs pepper** (salt vs pepper)
        (no description)
    **seed** (seed)
        (no description)
    **variance** (variance)
        (no description)









Implementation
==============

.. automodule:: node_noise
    :noindex:

.. class:: ImageNoise
    :noindex: