6 Lossy and Lossless compression.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is compression?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800\"\n",
       "            height=\"450\"\n",
       "            src=\"https://en.wikipedia.org/wiki/Data_compression\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x1e21110d4a8>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import IFrame\n",
    "IFrame('https://en.wikipedia.org/wiki/Data_compression', width=800, height=450)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/5I0niqqJxJw\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x1e21110dc18>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import YouTubeVideo\n",
    "YouTubeVideo('5I0niqqJxJw', width=800, height=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "img = cv2.imread('./images/lena.jpg')#shortcut\n",
    "cv2.imshow(\"original\",img)\n",
    "cv2.waitKey()\n",
    "cv2.destroyAllWindows()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lossless\n",
    "Saving the image in PNG format without losing quality."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv2.imwrite('./images/Lena_Lossless.png', img, [cv2.IMWRITE_PNG_COMPRESSION, 0])\n",
    "#IMWRITE_PNG_COMPRESSION must be in the (0, 9) interval—the bigger the number, \n",
    "#the smaller the file on the disk, but the slower the decoding process."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lossy\n",
    "Saving the image in the JPEG format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv2.imwrite('./images/Lena_Lossy.jpg', img, [cv2.IMWRITE_JPEG_QUALITY, 0])\n",
    "#When saving to JPEG format, we can manage the compression process by setting the value of IMWRITE_JPEG_QUALITY.\n",
    "#We can set this as any value from 0 to 100. But here, we have a situation where bigger is better. \n",
    "#Larger values lead to higher result quality and a lower amount of JPEG artifacts.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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