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generated by cgit v1.2.1 (git 2.18.0) at 2025-05-23 06:35:46 +0000
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# SPDX-License-Identifier: BSD-2-Clause
#
# Copyright (C) 2019, Raspberry Pi (Trading) Limited
#
# ctt_noise.py - camera tuning tool noise calibration

from ctt_image_load import *
import matplotlib.pyplot as plt


"""
Find noise standard deviation and fit to model:

    noise std = a + b*sqrt(pixel mean)
"""
def noise(Cam, Img, plot):
    Cam.log += '\nProcessing image: {}'.format(Img.name)
    stds = []
    means = []
    """
    iterate through macbeth square patches
    """
    for ch_patches in Img.patches:
        for patch in ch_patches:
            """
            renormalise patch
            """
            patch = np.array(patch)
            patch = (patch-Img.blacklevel_16)/Img.againQ8_norm
            std = np.std(patch)
            mean = np.mean(patch)
            stds.append(std)
            means.append(mean)

    """
    clean data and ensure all means are above 0
    """
    stds = np.array(stds)
    means = np.array(means)