From b95a6169777f1dc43cfb3a3fc05fff8097bbd9d8 Mon Sep 17 00:00:00 2001
From: Yuval Adam <_@yuv.al>
Date: Thu, 20 Dec 2018 10:18:03 +0200
Subject: Playground WIP

---
 playground/multi.ipynb | 67 ++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 67 insertions(+)
 create mode 100644 playground/multi.ipynb

(limited to 'playground/multi.ipynb')

diff --git a/playground/multi.ipynb b/playground/multi.ipynb
new file mode 100644
index 0000000..aa274f6
--- /dev/null
+++ b/playground/multi.ipynb
@@ -0,0 +1,67 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import cv2\n",
+    "from matplotlib import pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "imgs = [cv2.imread(f'samples/series/{i}.png') for i in range(1, 10)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gray = [cv2.cvtColor(im, cv2.COLOR_BGR2GRAY) for im in imgs]\n",
+    "gray = [np.float64(im) for im in gray]\n",
+    "noise = np.random.randn(*gray[1].shape)*10\n",
+    "noisy = [im + noise for im in gray]\n",
+    "noisy = [np.uint8(np.clip(im, 0, 255)) for im in noisy]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dst = cv2.fastNlMeansDenoisingMulti(noisy, 2, 5, None, 4, 7, 35)"
+   ]
+  }
+ ],
+ "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": "3.7.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
-- 
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