Lecture 3.10 - Sharpening.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sharpening \n",
    "\n",
    "By altering our kernels we can implement sharpening, which has the effects of in strengthening or emphasizing edges in an image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "image = cv2.imread('images/input.jpg')\n",
    "cv2.imshow('Original', image)\n",
    "\n",
    "# Create our shapening kernel, we don't normalize since the \n",
    "# the values in the matrix sum to 1\n",
    "kernel_sharpening = np.array([[-1,-1,-1], \n",
    "                              [-1,9,-1], \n",
    "                              [-1,-1,-1]])\n",
    "\n",
    "# applying different kernels to the input image\n",
    "sharpened = cv2.filter2D(image, -1, kernel_sharpening)\n",
    "\n",
    "cv2.imshow('Image Sharpening', sharpened)\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "image = cv2.imread('images/Bitmap.bmp')\n",
    "cv2.imshow('Original', image)\n",
    "\n",
    "# Create our shapening kernel, we don't normalize since the \n",
    "# the values in the matrix sum to 1\n",
    "kernel_sharpening = np.array([[-1,-1,-1], \n",
    "                              [-1,9,-1], \n",
    "                              [-1,-1,-1]])\n",
    "\n",
    "# applying different kernels to the input image\n",
    "sharpened = cv2.filter2D(image, -1, kernel_sharpening)\n",
    "\n",
    "cv2.imshow('Image Sharpening', sharpened)\n",
    "\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv2.imwrite('Seminar.bmp', sharpened)"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "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": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}