ImageProcessing/lab1/DE_IP_2024_Task_1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d5d62d24",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import cv2\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "40a56d12-cc0f-481d-b3c5-c2020a7d137b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from dataclasses import asdict\n",
    "from catppuccin.palette import PALETTE\n",
    "mpl.style.use(\"mocha\")\n",
    "colors = asdict(PALETTE.__getattribute__(\"mocha\").colors)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2799ab25",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Базовая работа с изображением"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5037aa29",
   "metadata": {},
   "outputs": [],
   "source": [
    "image = cv2.imread('sar_2_color.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3e5f356b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fde4c3bbb90>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "37b8f016",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(572, 974, 3)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image.shape # h,w,c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e4530952",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([12, 12, 12], dtype=uint8)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image[250,250] # b,g,r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "51aab9ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ROI\n",
    "img_roi = image[100:200, 500:700]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "70010d8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fddaed7d4f0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(img_roi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f882dac3",
   "metadata": {},
   "outputs": [],
   "source": [
    "b,g,r = cv2.split(image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1f89e4b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fddaed7dd00>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(b, cmap = 'gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "80f48335",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fddaead52b0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(g, cmap = 'gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "14bf6bec",
   "metadata": {},
   "outputs": [],
   "source": [
    "# alternative approach\n",
    "b = image[:,:,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "65f6cb65",
   "metadata": {},
   "outputs": [],
   "source": [
    "import copy\n",
    "\n",
    "image2 = copy.deepcopy(image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6e348740",
   "metadata": {},
   "outputs": [],
   "source": [
    "image2[50:100,50:100] = [0,0,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f0af9079",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fddaed7c050>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(image2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7b3beafd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# empty image\n",
    "image_template = np.zeros(image.shape,np.uint8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "649438f3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fddaeba8bf0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(image_template)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c9b56ab",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Конвертация цветовых моделей"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ddf46c8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0], dtype=uint8)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_template[0,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "90601bc7",
   "metadata": {},
   "outputs": [],
   "source": [
    "image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4254803d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.uint8(40)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_gray[0,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "abb0a164",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(572, 974)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_gray.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f282c88e",
   "metadata": {},
   "outputs": [],
   "source": [
    "image_hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d37c08b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(572, 974, 3)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_hsv.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ae9ef2ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([117, 143,  75], dtype=uint8)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_hsv[0,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d8cdda21",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([75, 37, 33], dtype=uint8)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image[0,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "73fdb374",
   "metadata": {},
   "outputs": [],
   "source": [
    "image_lab = cv2.cvtColor(image, cv2.COLOR_BGR2Lab)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "0ed9c8e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 42, 139, 104], dtype=uint8)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_lab[0,0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0d7f4f0",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Пороговая фильтрация"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "0b6d5e3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "_,thresh1 = cv2.threshold(image_gray,200,255,cv2.THRESH_BINARY)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "6e84b905",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fdda4953fb0>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(thresh1, cmap='gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f5e1453e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.uint64(0)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "thresh1[thresh1==100].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "396e3b66",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Построение гистограммы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "4b455e07",
   "metadata": {},
   "outputs": [],
   "source": [
    "histSize = 256\n",
    "histRange = (0, 256)\n",
    "accumulate = False\n",
    "\n",
    "b_hist = cv2.calcHist([b], [0], None, [histSize], histRange, accumulate=accumulate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "477df536",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fddaeb127e0>]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(b_hist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "92636df5",
   "metadata": {},
   "outputs": [],
   "source": [
    "b_hist_cum = b_hist.cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "1a195130",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fdda48a8500>]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(b_hist_cum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "e11f8476",
   "metadata": {},
   "outputs": [],
   "source": [
    "b_hist_norm = b_hist /  (image.shape[0] * image.shape[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "ae7a2b79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fdda4702600>]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(b_hist_norm)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa3739f4",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Сравнение двух изображений"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "b67e4981",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SSIM: 1.0\n"
     ]
    }
   ],
   "source": [
    "from skimage.metrics import structural_similarity, mean_squared_error\n",
    "\n",
    "(ssim, diff) = structural_similarity(image_gray, image_gray, full=True)\n",
    "diff = (diff * 255).astype(\"uint8\")\n",
    "print(\"SSIM: {}\".format(ssim))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "e130dabe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fdd82962c90>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(diff)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "03ab140b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(0.0)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mse = mean_squared_error(image_gray, image_gray)\n",
    "mse"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7c085bc",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Статистические характеристики изображений"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "de9202f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "mean = image_gray.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "aaff4206",
   "metadata": {},
   "outputs": [],
   "source": [
    "std = image_gray.std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "248147b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "67.41225535245043 52.016191875959635\n"
     ]
    }
   ],
   "source": [
    "print(mean,std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "3fbab27e",
   "metadata": {},
   "outputs": [],
   "source": [
    "eq_gray = cv2.equalizeHist(image_gray)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "250af16c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fdd82caf8f0>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(eq_gray, cmap=\"gray\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "7c013a0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fdd82a3dd90>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(image_gray, cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3ad3ea1-b103-4383-8219-946233ef84c5",
   "metadata": {},
   "source": [
    "# Задание"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e91c442-8169-4179-9ee6-75022dc4f3b0",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "1. [x] Загрузите изображение в оттенках серого sar_1_gray.jpg. \n",
    "2. [x] Постройте гистограмму\n",
    "3. [x] Реализуйте алгоритм гамма коррекции с параметром гамма <1, >1.\n",
    "4. [x] Сравните исходное изображение, скорректированное при помощи гамма-фильтра. MSE, SSIM.\n",
    "5. [x] Реализуйте алгоритм статистической цветокоррекции на основе статистики eq_gray.\n",
    "6. [x] Протестируйте работу алгоритмов пороговой фильтрации с различными параметрами.\n",
    "\n",
    "Для каждого решения напечатайте результат\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e84c055d-24d3-4e08-bed5-513199dd48d0",
   "metadata": {},
   "source": [
    "## Загрузка"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "2427bbf1-ffed-4948-80e5-a102df665e9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fdd829ad010>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "image = cv2.imread('sar_1_gray.jpg', cv2.IMREAD_GRAYSCALE)\n",
    "plt.imshow(image, cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7682875b-29b9-456d-b541-be1872ea6934",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Гистограмма"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "f3134249-c6c5-4373-bcf1-09bee7f2a87d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#hist = cv2.calcHist(image, [1], None, [256], (0, 255))\n",
    "#plt.plot(hist)\n",
    "_ = plt.hist(image.ravel(), bins=256)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96ba1554-7885-41e1-8f3f-8d5af59e5345",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## MSE и SSIM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "8faf11eb-8aea-4720-b13a-84b83112765c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def mse(img1, img2):\n",
    "    return np.mean((img1.astype(float) - img2.astype(float)) ** 2)\n",
    "\n",
    "def ssim(img1, img2):\n",
    "    C1 = (0.01 * 255) ** 2\n",
    "    C2 = (0.03 * 255) ** 2\n",
    "    \n",
    "    img1 = img1.astype(float)\n",
    "    img2 = img2.astype(float)\n",
    "    \n",
    "    mu1 = cv2.GaussianBlur(img1, (11, 11), 1.5)\n",
    "    mu2 = cv2.GaussianBlur(img2, (11, 11), 1.5)\n",
    "    \n",
    "    mu1_sq = mu1 ** 2\n",
    "    mu2_sq = mu2 ** 2\n",
    "    mu1_mu2 = mu1 * mu2\n",
    "    \n",
    "    sigma1_sq = cv2.GaussianBlur(img1 ** 2, (11, 11), 1.5) - mu1_sq\n",
    "    sigma2_sq = cv2.GaussianBlur(img2 ** 2, (11, 11), 1.5) - mu2_sq\n",
    "    sigma12 = cv2.GaussianBlur(img1 * img2, (11, 11), 1.5) - mu1_mu2\n",
    "    \n",
    "    numerator = (2 * mu1_mu2 + C1) * (2 * sigma12 + C2)\n",
    "    denominator = (mu1_sq + mu2_sq + C1) * (sigma1_sq + sigma2_sq + C2)\n",
    "    \n",
    "    ssim_map = numerator / denominator\n",
    "    return np.mean(ssim_map)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eec5284a-a3ab-4586-8027-f3200b49b8eb",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Гамма-коррекция"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "27333afa-6b18-44d0-b1b9-6183bad74e9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def gamma_correction(image, gamma):\n",
    "    image_normalized = image.astype(np.float32) / 255.0\n",
    "    corrected = np.power(image_normalized, gamma)\n",
    "    return (corrected * 255).astype(np.uint8)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2311c3da-523d-48b1-a3b8-b080b5ca855f",
   "metadata": {},
   "source": [
    "### <1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "510bde0a-9922-4534-a2ef-dbfdc19d0979",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "image_gamma = gamma_correction(image, .5)\n",
    "_ = plt.hist(image_gamma.ravel(), bins=256, color=colors['green']['hex'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "fe0e57d1-7c9f-40c1-af77-1047f7751bac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MSE:   3250.429145833333\n",
      "SSIM:  0.7826855938698241\n"
     ]
    }
   ],
   "source": [
    "print(f\"MSE:  \", mse(image, image_gamma))\n",
    "print(f\"SSIM: \", ssim(image, image_gamma))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6293286-528d-4b49-899a-262a47edefc4",
   "metadata": {},
   "source": [
    "### >1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "068e5785-192c-4c0b-9037-64692de14ede",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "image_gamma = gamma_correction(image, 2.)\n",
    "_ = plt.hist(image_gamma.ravel(), bins=256, color=colors['red']['hex'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "453e0b4c-2109-4ead-b667-0619e475accd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MSE:   2383.7636375\n",
      "SSIM:  0.5193678832134501\n"
     ]
    }
   ],
   "source": [
    "print(f\"MSE:  \", mse(image, image_gamma))\n",
    "print(f\"SSIM: \", ssim(image, image_gamma))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fca1c8a3-f07d-4506-aa42-9742f29b72fc",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Статическая цветокоррекция"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "73d59099-9f31-497c-b5d6-e5673a7a6473",
   "metadata": {},
   "outputs": [],
   "source": [
    "def statistical_color_correction(image, target_mean=None, target_std=None):\n",
    "    current_mean = np.mean(image)\n",
    "    current_std = np.std(image)\n",
    "    \n",
    "    if not target_mean:\n",
    "        target_mean = 128\n",
    "    if not target_std:\n",
    "        target_std = 64\n",
    "    \n",
    "    corrected = (image - current_mean) * (target_std / current_std) + target_mean\n",
    "    \n",
    "    corrected = np.clip(corrected, 0, 255)\n",
    "    \n",
    "    return corrected.astype(np.uint8)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3dbffd0f-30d1-4aca-9f4b-571e761693a8",
   "metadata": {},
   "source": [
    "### Статическая коррекция"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "1b1114f0-b1f8-4763-9ee9-deac05773539",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAigAAAF7CAYAAAD4/3BBAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs/WeQped5HgxeJ+ec+/TpdDrn6Z7UEzCYwSAJJEhapCitki3KQV7LLtWuq1zl0pZ/WD8+qaQqybZqXbJEUS6LpkgRAkmkAWaAGWAwoad7uqdzn+6Tcw59ctofPfetAe1vP+zW7key3E8VCsBMh3Pe877Pc9/XfQVBX99sFyfrZJ2sk3WyTtbJOlk/RUv4k34BJ+tknayTdbJO1sk6WT++TgqUk3WyTtbJOlkn62T91K2TAuVknayTdbJO1sk6WT9166RAOVkn62SdrJN1sk7WT906KVBO1sk6WSfrZJ2sk/VTt04KlJN1sk7WyTpZJ+tk/dStkwLlZJ2sk3WyTtbJOlk/deukQDlZJ+tknayTdbJO1k/dOilQTtbJOlkn62SdrJP1U7dOCpSTdbJO1sk6WSfrZP3ULfFP8pe/8oV/gC9/9f8Cg9GEUMCHP/9//jF2ttZ/ki/pZJ2sk3WyTtbJOlk/BesnhqBcfO4F/MY//Vf43n//Fv5v/9d/iO3Ndfzuv/9DmC22n9RLOlkn62SdrJN1sk7WT8n6iRUor/+DX8TN936ID979IcKhAP7iP/8xMqkkXvnCV35SL+lknayTdbJO1sk6WT8l6ycy4hGLxXCPjOH7f/NfP/Pna6sPMT4x8z/9HoFA8ON/AHRPgphP1sk6WSfrZJ2sn6klEKDb6fwfftlPpEDRaPUQicTI57Kf+fN8Lgu90fg/fL1CqYJSqfo/6+WdrJN1sk7WyTpZJ+v/jyubTf8fFik/UZLsjy+BQPA/BUWqlTJq1cqzXwij0QyLWYxMJg2BQAC73Q6j0QihUIhKpQKlUgmj0Yh6vQ6tVotWq4Vut4tOp4NiqYRT8/MYHR1FPp+HTCbDe++9h0wmA4VCAZFYjB6HA2q1GgAgkUgwNT2NdCqF5eVlnDlzBj09Pbh3/x5CwRBisRjq9TpUKhVcLhcWFxdx7tw5bGxsQCg8nqKlUin4/X6EQiEkEgnU63W0Wi1IpFIoFQpkMhmUSiXY7XacOXMG8/PzePfdd3Hv3j04HA6YTCYMDQ1heHgY8XgckUgEZrMZfX190Ov16Ha7kEgk2NzcxNDQEMxmM5LJJHK5HGKxGGKxGGQyGcbGxqBUKtHpdNBqtZDJZHDu3DlMTU3BZDJhb38fv/+//W/Q6XQwGAxIJpNot9sYGBjA/Pw8nn/+echkMtRqNbz77rsIBoMolUpodzqQSaVwOBx45513oNFoIJVK4XK50Gq1oFAooNFoMD0zg7NnzuDw8BCZbBaNeh25XA6ZTAbxeBz1eh3JZBLNZhOdTgc9PT24du0a/st/+S+4eOkiLl+6jKOjI6jVakxOTWF7awvBYBDpdBrNZhOzs7OoVqsoFApQKBTY29tDIBDA0dERrly5gomJCcRiMQQCAVSrVUxOTuLy5csQiUR48OABcrkcJBIJlpaW8PjxY5TLZUxPT6PZbCIYDCKXy6FWq6FYKiIei+PcuXNQKpUQCASoVCrY29vDzs4O1Go1TCYTugAa9TpkMhmMRiO+8pWvQCwRw2gwYm9vD1tbW5ibm4PVakU4HMbKygqCwSCMRiOyuRxSySSsVivW1tYgkUj4PTqdTrTbbbz77rtoNBqwWCzI5XKoVqtQqVQoFArQaLWolMv4xje+AZlMBrPZjEAggL29PUgkEvT39yORSECv16NaraJareLw8BBz83O4eOEiavU6REIhLBYLNjY2oNVqEQwGcfbcOXzy8cew2Wzo6+tDp9NBNpvF6Ogo3n77bfh8Pnzxi1/EkydP8OGHH8JsNmNgYAB6vR7RaBQajQZ+vx8ymQwTExO4f/8+bDYbHA4HcrkcNBoNbDYb/H4/2u02KpUK4vE4XC4X3G738eedyWBkeBiegwN02m3odDqIxWLkcjlIpVKo1Go47HZs7+xAIZdDpVIhk8ngtddew9bWFnQ6HQ4ODpBMJpFKpWAymRAMBlGv1+F2u6HV6VAqFtFqt6HX6dDf349QKIR2u41UKoVqtYpUKgW9Xo9yuQylUgmLxQKVSoWFhQWoVCpoNBp4vV4olUokEgmIxWLE4nH0OBwYGRmBTCaDTqeDQCDA7u4uNjY2UK1WMTMzg2KxiGKxCJlMhna7jbHxcXj295FKpSCVStF9ulHm8/njfUQigd1uh91uR71eRyaTgclkgtlsRqfTQaPRQCqVgk6nQ6fTQb1eR7lchlarhUwmg0gkQj6fRyaTgc1mg8vlQrFYRDQaRTqdRr1eR71eh16vh1gsRqvVgkqlgkwmg81mQ61Wg8/ng81uh9lkglQqxQ9+8AOMjY1haWkJAoEAd+7cQb1eh93hALpdNJtNHB0dodlsQiqVolKpQKFQAACy2SyazSa/TgCwWCzQ6/WwWK2w22xotVoAAJFIhG63i3q9DoFAgHK5jMuXL6PVaqFSraKQz0MsFiMSiSCfz6Ner6NWr6O/rw9isRgQADPTMyiXy5BKpYhEItDpdPD7/VAoFOjt7UWlUoFEIoHNZoPRaIRarYZGo4FWq4XH44Fer0cul0N/fz9fw1arBY/Hc/xs5vMYGR5GuVxGu92GSCSCSqVCqVTCwcEBqtUqLFYrykdHCAaDqNVqaLVa0Gq1EAqFiEQimJufR6vZhN1ux7e//W0Ui0UIhUJIpVIIhULEYjEcHR1hYGAA7XYbhUIBcrkcExMT6Ha7CAQCKBQKMJlMx5+JUIhkIgGbzQaTyYSxsTHodLrPnL3pdBqegwPkslmo1WrEYjFIpVJ+/RcvXoRcLgcAdLtdhMNh3Lt3D9vb24hGoyiVSrDZbPjyl7+MnZ0dGI1GXLv2An7+q7/5uSYgP5ECpVTMo91uQW/4LFqi0xtQ+DFUhVb3mTcj4D/rwGazQqfTQalUotVqodlsQKVSwmw2o9vtolqtQKvVQCAAWq0WbDYbrFYLJibG0d/fD4/HA5lMBrFYhE6nDZPJiPHxcQwODiKVSmFrawv5fB4DA/2QSiUoFgsIBgPIZNIoFYsIh0Oo1+uYnJyE2+2GXq+HQAD81V99C3q9Ht/4xjewurqK9957F6lUCu12G4lE/OkN3EQ4FHy6MWcxNDQEg8GA2dkZPPfcZTx+vAqXqxcvvPACdDodJBIJtFot6vUa6vUalEoFGo06jEYDAEAmk2FkZBgA8OjRMsrlMhqNBtRqNWq1Kp48WYdAAHzhC19AqVQCAJw+vYjx8XHUajVsbm4gEong7NkzqNVqSKfTkMtlkEqlKBTyODoq4eOP70AoFKKvrw+lUhFnzpxGuVxGoVBANBpFoZCHWq2C3W7D2NgYcrkcrFYrSqUS0uk0spk00ukUOp02CvkcSqUSut0uut0O0ukUAKBSKUOhUECpPP7c/H4fVColJGIxHA47xGIx1Go1JGIRWq0mTCYjdDot6vU6KpXj9zw7OwOn04lEIg61ehIHBwc4Oirh1q2bUCgU6OnpQbPZxMGBBxMT45icnMTp04v48MMPEY1GEAoFUSjkYTKZsLq6gmazCZFIBKFQiHa7hVazCbVahWazAY8nDLPZDKlUCrVaBZvNikajgWw2g0ajAalUCoNBD6ezB1br8Sbb6XTQ1+eCXq+DWq2GTCZDq9WEzWZFKpWEXq9Do1FHrNVEqVSEVCpBt9uFWq1CKpVEvV6Dx+NBPB5DT08P8vkc8vnja2232yGXyyAQCHBqfg7PPXcZT548gd/vw6NHj1CtVuF2u1GrVWE0GpBKpXB0dITh4WF0ux3MzsxAp9NifnAQjUYDRqMRLlcvPvnkE+j1OowMuzHQ34dCoQCDwQC/349isYBSqQiXqxf1eg1CoQD5fA4vv/wS9vb2oNNp8ejRMpxOJ2QyKY6OSohEwlAo5LBYzJDLZUilkhAIBEgk4pDLZdDptCgUChgbG4VEIkapVEQwGOC
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "image_stat_corrected = statistical_color_correction(image)\n",
    "_ = plt.imshow(image_stat_corrected, cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c828c5a-976b-47c8-b048-5f296ba241cb",
   "metadata": {},
   "source": [
    "### Эталон"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "3775d75c-6af3-4956-892b-6d2deaf7e311",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eq_gray = cv2.equalizeHist(image)\n",
    "_ = plt.imshow(eq_gray, cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92a5abe8-162d-4e26-acda-0eb091075e28",
   "metadata": {},
   "source": [
    "### Коррекция по эталону"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "a3f083a5-c0f0-4546-8059-a43b14d3f334",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "image_stat_eq = statistical_color_correction(\n",
    "    image, \n",
    "    target_mean=np.mean(eq_gray), \n",
    "    target_std=np.std(eq_gray)\n",
    ")\n",
    "_ = plt.imshow(image_stat_eq, cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c6047ee-8d73-4185-b51e-2b05e130cab5",
   "metadata": {},
   "source": [
    "## Пороговая фильтрация"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "c6392202-f8ff-46b1-a603-2754dee82bb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Бинарная\n",
    "_, result = cv2.threshold(image, 127, 255, cv2.THRESH_BINARY)\n",
    "_ = plt.imshow(result, cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "8d725f29-7cd9-402f-b27c-0c7db5d92aa5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Инверсная бинарная\n",
    "_, result = cv2.threshold(image, 127, 255, cv2.THRESH_BINARY_INV)\n",
    "_ = plt.imshow(result, cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "4531c478-9641-49f6-a23c-a9fbe7ec767b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Усечение\n",
    "_, result = cv2.threshold(image, 127, 255, cv2.THRESH_TRUNC)\n",
    "_ = plt.imshow(result, cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "7f0af3b7-4207-40dd-8bae-e8d1a5396408",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# К нулю\n",
    "_, result = cv2.threshold(image, 127, 255, cv2.THRESH_TOZERO)\n",
    "_ = plt.imshow(result, cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "99f30951-0ac1-43d1-993c-b38cfaf81392",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Инверсная к нулю\n",
    "_, result = cv2.threshold(image, 127, 255, cv2.THRESH_TOZERO_INV)\n",
    "_ = plt.imshow(result, cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "336cf018-1d65-4a00-88c5-bdad37440f10",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# otsu\n",
    "_, result = cv2.threshold(image, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)\n",
    "_ = plt.imshow(result, cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "85a2b6d0-5c76-4d91-83fe-98a4137bb76f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Адаптивная (среднее)\n",
    "result = cv2.adaptiveThreshold(\n",
    "    image,\n",
    "    255,\n",
    "    cv2.ADAPTIVE_THRESH_MEAN_C, \n",
    "    cv2.THRESH_BINARY,\n",
    "    127,\n",
    "    2\n",
    ")\n",
    "_ = plt.imshow(result, cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "c402f4e0-8557-4d05-b7fd-e5f80c0a51df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Адаптивная (Гаусс)\n",
    "result = cv2.adaptiveThreshold(\n",
    "    image,\n",
    "    255,\n",
    "    cv2.ADAPTIVE_THRESH_GAUSSIAN_C, \n",
    "    cv2.THRESH_BINARY,\n",
    "    127,\n",
    "    2\n",
    ")\n",
    "_ = plt.imshow(result, cmap=\"gray\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}