mask_creation
=============

.. py:module:: mask_creation

.. autoapi-nested-parse::

   This module provides functions to automatically generate camera masks for all-sky imagers.



Functions
---------

.. autoapisummary::

   mask_creation.adjust_gamma
   mask_creation.compute_mask
   mask_creation.aggregate_images


Module Contents
---------------

.. py:function:: adjust_gamma(image, gamma=1.0)

   Apply gamma correction to an image.


.. py:function:: compute_mask(avg_img)

   Create an image mask based on the input image. Input image should be a daily/longterm average image based
   on equalized histogram to enhance contrast


.. py:function:: aggregate_images(img_list, gray_scale=False, equalization=False, blur=False)

   Process a list of images by applying optional grayscale conversion, histogram equalization,
   and blurring. Computes the average and standard deviation of the processed images.

   :param img_list: List of input images as NumPy arrays.
   :type img_list: list of numpy.ndarray
   :param gray_scale: Whether to convert images to grayscale (default is False).
   :type gray_scale: bool, optional
   :param equalization: Whether to apply histogram equalization to enhance contrast (default is False).
   :type equalization: bool, optional
   :param blur: Whether to apply a blurring filter to reduce noise (default is False).
   :type blur: bool, optional
   :return: A dictionary containing processed images, their average, and standard deviation.
   :rtype: dict