diff --git a/content/SVDimgNovoTeste.ipynb b/content/SVDimgNovoTeste.ipynb
new file mode 100644
index 0000000..068489b
--- /dev/null
+++ b/content/SVDimgNovoTeste.ipynb
@@ -0,0 +1,140 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "30cc35f5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import skimage\n",
+    "import skimage.color\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import ipywidgets as widgets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "b6a94ec8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from skimage import data\n",
+    "from skimage.color import rgb2gray\n",
+    "from skimage import img_as_float"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "6fcfddbd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dictPhotos = {\"cat\":rgb2gray(img_as_float(data.chelsea())), \n",
+    "              \"astronaut\": rgb2gray(img_as_float(data.astronaut())),\n",
+    "              \"photographer\": data.camera(), \n",
+    "              \"coffee\": rgb2gray(img_as_float(data.coffee())) }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "346b99c1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from numpy.linalg import svd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "7b587f36",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def SVD(img, k):\n",
+    "    U, S, VT = svd(img, full_matrices = False)\n",
+    "    singVal = np.diag(S)\n",
+    "    imgProduct = np.dot(U[:,:k], np.dot(singVal[:k,:k], VT[:k,:]))\n",
+    "    return imgProduct"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "70c2676d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def showImg(name, k):\n",
+    "    img = dictPhotos[name]\n",
+    "    imgCompressed = SVD(img, k)\n",
+    "    plt.imshow(imgCompressed, cmap = 'gray')\n",
+    "    plt.axis('off')\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "e6703100",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d69234a4863247b0ac9d0fddac1f54fa",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(Dropdown(description='Photo:', options=('cat', 'astronaut', 'photographer', 'coffee'), v…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.showImg(name, k)>"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from ipywidgets import interact\n",
+    "interact(showImg, name=widgets.Dropdown(options=['cat', 'astronaut', 'photographer', 'coffee'], value=\"cat\", description='Photo:'), \n",
+    "         k=widgets.IntSlider(min=0, max=300, step=1, value=150))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}