Day003_color_spave_op_HW.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 作業\n",
    "\n",
    "實作各種不一樣的方式來調整飽和 / 對比 / 明亮\n",
    "\n",
    "1. 改變 color space 來調整飽和度\n",
    "2. 實作直方圖均衡\n",
    "3. alpha/ beta 調整對比 / 明亮"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "img_path = 'lena.png'\n",
    "\n",
    "# 以彩色圖片的方式載入\n",
    "img = cv2.imread(img_path, cv2.IMREAD_COLOR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
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     "execution_count": 4,
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   "source": [
    "img.dtype#2^8=256"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 改變飽和度\n",
    "\n",
    "- 轉換成 HSV color space, 改變 s channel 的值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 為了要改變飽和度，我們先把 color space 轉成 HSV 格式\n",
    "img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)\n",
    "change_percentage = 0.2\n",
    "\n",
    "# 針對飽和度的值做改變，超過界線 0~1 的都會 bound\n",
    "# 在 HSV color space 減少飽和度\n",
    "img_hsv_down=img_hsv.astype('float32')\n",
    "img_hsv_down[::1]=img_hsv_down[::1]/255-change_percentage\n",
    "img_hsv_down[img_hsv_down<0]=0\n",
    "img_hsv_down=img_hsv_down*255\n",
    "img_hsv_down=img_hsv_down.astype('uint8')\n",
    "\n",
    "# 在 HSV color space 增加飽和度\n",
    "img_hsv_up =img_hsv.astype('float32')\n",
    "img_hsv_up[::1]=img_hsv_up[::1]/255+change_percentage\n",
    "img_hsv_up[img_hsv_up<0]=0\n",
    "img_hsv_up=img_hsv_up.astype('uint8')\n",
    "\n",
    "# 轉換 color space 回 BGR\n",
    "img_hsv_down = cv2.cvtColor(img_hsv_down,cv2.COLOR_HSV2RGB)\n",
    "img_hsv_up = cv2.cvtColor(img_hsv_down,cv2.COLOR_HSV2RGB)\n",
    "\n",
    "# 組合圖片 + 顯示圖片\n",
    "img_hsv_change = np.hstack((img, img_hsv_down, img_hsv_up))\n",
    "while True:\n",
    "    cv2.imshow('change saturation', img_hsv_change)\n",
    "    \n",
    "    k = cv2.waitKey(0)\n",
    "    if k == 27:\n",
    "        cv2.destroyAllWindows()\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 直方圖均衡\n",
    "\n",
    "1. case 1: 把彩圖拆開對每個 channel 個別做直方圖均衡再組合起來\n",
    "2. case 2: 轉換 color space 到 HSV 之後對其中一個 channel 做直方圖均衡"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# case 1\n",
    "# 每個 channel 個別做直方圖均衡\n",
    "equalHist_by_channel = [img[..., 0], img[..., 1], img[..., 2]]\n",
    "equalHist_by_channel = [cv2.equalizeHist(i) for i in equalHist_by_channel]\n",
    "\n",
    "# 組合經過直方圖均衡的每個 channel\n",
    "img_bgr_equal = np.stack(equalHist_by_channel,axis=-1)\n",
    "\n",
    "# case 2 - 轉換 color space 後只對其中一個 channel 做直方圖均衡\n",
    "img_hsv=cv2.cvtColor(img,cv2.COLOR_BGR2HSV)\n",
    "img_hsv[...,0] =cv2.equalizeHist(img_hsv[...,0])\n",
    "img_hsv_equal=cv2.cvtColor(img_hsv,cv2.COLOR_HSV2BGR)\n",
    "\n",
    "# 組合圖片 + 顯示圖片\n",
    "img_bgr_equalHist = np.hstack((img, img_bgr_equal, img_hsv_equal))\n",
    "while True:\n",
    "    # 比較 (原圖, BGR color space 對每個 channel 做直方圖均衡, HSV color space 對明度做直方圖均衡)\n",
    "    cv2.imshow('bgr equal histogram', img_bgr_equalHist)\n",
    "    k = cv2.waitKey(0)\n",
    "    if k == 27:\n",
    "        cv2.destroyAllWindows()\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 調整對比 / 明亮"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# alpha: 控制對比度 (1.0~3.0)\n",
    "# beta: 控制明亮度 (0~255)\n",
    "add_contrast = cv2.convertScaleAbs(img,alpha=2.8,beta=1)\n",
    "add_lighness = cv2.convertScaleAbs(img,alpha=1.0,beta=199)\n",
    "\n",
    "# 組合圖片 + 顯示圖片\n",
    "img_contrast_light = np.hstack((img, add_contrast, add_lighness))\n",
    "while True:\n",
    "    # 比較不同程度的對比 / 明亮\n",
    "    cv2.imshow('adjust contrast and brighness', img_contrast_light)\n",
    "    k = cv2.waitKey(0)\n",
    "    if k == 27:\n",
    "        cv2.destroyAllWindows()\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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