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Image Compression
Commit 482eeae2 authored by Nathaniel Callens's avatar Nathaniel Callens
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research in wavelets

parent 48804c56
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Showing with 27 additions and 11 deletions
.ipynb_checkpoints/prediction_MSE_Scout-checkpoint.ipynb
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......@@ -268,7 +268,7 @@
},
{
"cell_type": "code",
"execution_count": 62,
"execution_count": 99,
"id": "470cc137",
"metadata": {},
"outputs": [
......@@ -276,15 +276,27 @@
"name": "stdout",
"output_type": "stream",
"text": [
"5.667000202436157e-12\n"
"(258, 322)\n"
]
},
{
"data": {
"text/plain": [
"'print(decompress)\\nprint(np.mean(np.abs(decompress-no_ravel)))'"
]
},
"execution_count": 99,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"coeffs = pywt.dwt2(no_ravel, 'bior1.3')\n",
"LL, (LH, HL, HH) = coeffs\n",
"print(HH.shape)\n",
"decompress = pywt.idwt2(coeffs, 'bior1.3')\n",
"print(np.mean(np.abs(decompress-no_ravel)))\n"
"\"\"\"print(decompress)\n",
"print(np.mean(np.abs(decompress-no_ravel)))\"\"\"\n"
]
},
{
......@@ -338,15 +350,21 @@
},
{
"cell_type": "code",
"execution_count": 88,
"execution_count": 101,
"id": "f9687830",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.01910218596458435\n"
"ename": "ValueError",
"evalue": "too many values to unpack (expected 2)",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_22104/2202774112.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 18\u001b[0m \u001b[0mtimes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstop\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mstart\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 19\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mtimes\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 20\u001b[1;33m \u001b[0mti\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mwave_decompress\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcoef\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 21\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmean\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mti\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_22104/2202774112.py\u001b[0m in \u001b[0;36mwave_decompress\u001b[1;34m(coeffs)\u001b[0m\n\u001b[0;32m 14\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcoeffs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 15\u001b[0m \u001b[0mstart\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 16\u001b[1;33m \u001b[0mdecompress\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpywt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0midwt2\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcoeffs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'bior1.3'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 17\u001b[0m \u001b[0mstop\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 18\u001b[0m \u001b[0mtimes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstop\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mstart\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pywt\\_multidim.py\u001b[0m in \u001b[0;36midwt2\u001b[1;34m(coeffs, wavelet, mode, axes)\u001b[0m\n\u001b[0;32m 110\u001b[0m \"\"\"\n\u001b[0;32m 111\u001b[0m \u001b[1;31m# L -low-pass data, H - high-pass data\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 112\u001b[1;33m \u001b[0mLL\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mHL\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mLH\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mHH\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcoeffs\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 113\u001b[0m \u001b[0maxes\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maxes\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 114\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maxes\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mValueError\u001b[0m: too many values to unpack (expected 2)"
]
}
],
......@@ -358,11 +376,9 @@
" coeffs = pywt.dwt2(image, 'bior1.3')\n",
" return coeffs\n",
"\n",
"def huffman(coeffs):\n",
" for i in range(len(coeffs)):\n",
" \n",
"\n",
"coef, t = wavelet(num_images)\n",
"coef, t = wavelet(num_images,0)\n",
"\n",
"def wave_decompress(coeffs):\n",
" times = []\n",
......
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