wk-labs/lab3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "81322b7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2 as cv\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9165d029",
   "metadata": {},
   "outputs": [],
   "source": [
    "#zadanie 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5de78779",
   "metadata": {},
   "outputs": [],
   "source": [
    "park = cv.imread(\"img/park-to-eq.jpg\", cv.IMREAD_COLOR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4531895e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Image')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,5))\n",
    "plt.subplot(121)\n",
    "plt.imshow(park[:,:,::-1])\n",
    "plt.title(\"Image\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "922d7624",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Image')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_park = park.copy()\n",
    "new_park[:,:,0] = cv.equalizeHist(new_park[:,:,0])\n",
    "new_park[:,:,1] = cv.equalizeHist(new_park[:,:,1])\n",
    "new_park[:,:,2] = cv.equalizeHist(new_park[:,:,2])\n",
    "\n",
    "plt.figure(figsize=(20,5))\n",
    "plt.subplot(121)\n",
    "plt.imshow(new_park[:,:,::-1])\n",
    "plt.title(\"Image\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c35ed246",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Image')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#HSV\n",
    "park_hsv = cv.cvtColor(park, cv.COLOR_BGR2HSV)\n",
    "# wystarczy zastosować equalize na kanale V, który odpowiada za jasność\n",
    "park_hsv[:,:,2] = cv.equalizeHist(park_hsv[:,:,2])\n",
    "\n",
    "park_rgb = cv.cvtColor(park_hsv, cv.COLOR_HSV2RGB)\n",
    "\n",
    "plt.figure(figsize=(20,5))\n",
    "plt.subplot(121)\n",
    "plt.imshow(park_rgb)\n",
    "plt.title(\"Image\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e5f4848f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Image')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Zadanie 2 \n",
    "man = cv.imread(\"img/man-at-desk.jpg\", cv.IMREAD_COLOR)\n",
    "plt.figure(figsize=(30,10))\n",
    "plt.subplot(121)\n",
    "plt.imshow(man[:,:,::-1])\n",
    "plt.title(\"Image\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1cd9c922",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Image')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "man_hsv = cv.cvtColor(man, cv.COLOR_BGR2HSV)\n",
    "# wystarczy zastosować equalize na kanale V, który odpowiada za jasność\n",
    "man_hsv[:,:,2] = cv.equalizeHist(man_hsv[:,:,2])\n",
    "\n",
    "man_rgb = cv.cvtColor(man_hsv, cv.COLOR_HSV2RGB)\n",
    "\n",
    "plt.figure(figsize=(30,10))\n",
    "plt.subplot(121)\n",
    "plt.imshow(man_rgb)\n",
    "plt.title(\"Image\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "0ab99029",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'After')"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "man_new_hsv = cv.cvtColor(man, cv.COLOR_BGR2HSV)\n",
    "clahe = cv.createCLAHE(clipLimit=2.0, tileGridSize=(5,5))\n",
    "\n",
    "H, S, V = cv.split(man_new_hsv)\n",
    "\n",
    "output1_H = clahe.apply(H)\n",
    "output1_S = clahe.apply(S)\n",
    "output1_V = clahe.apply(V)\n",
    "\n",
    "clahe = cv.merge((output1_H, output1_S, output1_V))\n",
    "\n",
    "final = cv.cvtColor(clahe, cv.COLOR_HSV2RGB)\n",
    "\n",
    "plt.figure(figsize=(15,10))\n",
    "plt.subplot(121)\n",
    "plt.imshow(man[:,:,::-1])\n",
    "plt.title(\"Before\")\n",
    "plt.subplot(122)\n",
    "plt.imshow(final)\n",
    "plt.title(\"After\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f436667a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#zadanie 3"
   ]
  }
 ],
 "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}