Using Encoded Image in CSS (background-image)

By Thoriq Firdaus. in Coding. Updated on February 21, 2024.

As designers, effortlessly integrating background images via CSS might seem elementary. Traditionally, we employ the background-image property, linking directly to the image’s source file.

 div {
 background-image: url(img/image.png);
 }

Yet, this method prompts additional HTTP requests for each unique image URL. For instance, ten distinct URLs necessitate ten separate image requests from the browser.

To mitigate this, alternatives like the CSS Image Sprite technique or the use of Encoded Images offer more efficient solutions.

See demo

Encoded Images

Encoded images consist of a sequence of characters that encode the image data directly, as demonstrated below.

data:image/png;base64,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

Embedding an encoded image directly into an <img> element or through the background-image property in CSS circumvents additional HTTP requests, streamlining page load times.

Embedding in HTML

<img width="50" height="50" src="data:image/png;base64,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">

Embedding in CSS

background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADIAAAAyCAIAAACRXR/mAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAyJpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkIj8+IDx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IkFkb2JlIFhNUCBDb3JlIDUuMC1jMDYwIDYxLjEzNDc3NywgMjAxMC8wMi...

Converting Images to Encoded Format

There are numerous online platforms for converting images into encoded formats. A preferred choice is Duri.me, known for its simplicity. Just drag and drop your image, and then copy the encoded output for use as an image, in CSS, or as plain code.

Example of using Duri.me for image encoding

Considerations and Limitations

While encoded images offer benefits, they come with their own set of challenges:

Maintainability: One of the main challenges is maintainability. Working with encoded images involves more technical steps compared to using standard image files.
Browser Compatibility: Encoded images are not supported by Internet Explorer 6 and 7, though Internet Explorer 9 and newer versions handle them well.
Size Limitations in IE8: Internet Explorer 8 imposes a size limit for encoded images, capping them at 32,768 Bytes.

Applying Noise Texture: A Step-by-Step Guide

Let’s explore how to apply a noise texture through a practical example. Below is a screenshot illustrating the expected outcome.

Create Noise with Transparency

To begin, we require a noise texture in PNG format featuring transparency. A convenient tool for this task is NoisePNG. It allows customization of output dimensions, noise intensity, and image opacity.

Noise texture example created with NoisePNG

In this instance, I’ve adjusted the background color to #333333, set the Opacity to 50, and applied a Monochrome texture. Proceed to download the image.

Convert Noise to CSS Code

Next, navigate to Duri.me. Upload the noise image you’ve just downloaded, then choose to “copy code as CSS”.

Integrate Code into Your CSS

Finally, incorporate the CSS code into your stylesheet as follows:

/* Example CSS code */
background-image: url('data:image/png;base64,...');

	 body {
	 background-color: #333333;
	 width: 100px;
	 height: 100px;
	 background-repeat: no-repeat;
	 background-image: url(data:png;base64,iVBORw0KGgoAAAANSUhEUgAAAGQAAABkCAYAAABw4pVUAAAgAElEQVR4nKVdeUBO2fv/uK7bdV13Xqk0UfY1jJ1kiUlCVPYQiaQUQouoUBlrStQUhUyEamSXLevYGvsSRXbZJmuWwe+Pt3O6913SfH+ff+q999xzzvOc/TnPAjs7OxEAvL29eWhg1qxZLAAcOHDA5OnTpyrN9wRpaWlcnTp1pLVr13Ka70JCQupNmjRJAoCioiIuICCAA4Ds7GxBM+3+/fvFHTt2MBYWFix5NnXqVJH8n5SUxADA+PHjaTlfv37lAcDR0ZENDQ1V/fbbbwo6mjdvrkUXgSiKHADExsYaAsDcuXP5zMxMwdzcnFm2bBmtX1ZWFvPq1StFfTdt2iQBQO/evRn5cxMTEz44OFiEHhw+fJhdvHix4OLiwupLowUbGxsuLCyMmzFjBiW8UaNGioK3bt1qquvb2rVrKypz7do1LcYDQGRkJAcAUVFRhtHR0SIA5ObmcgDw7t07AQAsLCz0EiYHx3Fa6ZYuXWqoK62FhQVtoCNHjkgAsG7dOg4APn/+zAPA7NmzjQDA2NhY0cEuXLggBgQEsHXr1lUw08nJiebp6uqqeHf06FERAL5+/SrUr1+fT01NlaytrbkuXboIkiTxJ0+e1E9jVlaWCgBycnK0mNigQQN22LBhLADY2tpKubm5jGYab29vWhl3d3du48aNWoXNnj2bMFvrex8fH8WzlJQU6eLFiywAJCYmMqXfs1lZWRwAsCxboV6WnZ0tkf9nzJghAMDp06fpt5GRkayjoyNl6v3798VHjx6pFi1apDXiXVxc+Fq1akn//vsvBwBVq1YV7e3tWQC4fPkyW1xczBYUFOhl8rBhwxQj9uDBgxIAREVF8UVFRdr0bN26VQSA7du3KxolOTmZAYDnz5+X22s9PT3p1HbhwgXBz89PCAwM1GJ+jx49aOFXrlyhhDs6OnIAcPz4cRPyrHr16nrLvHz5MnPy5EkeAFatWqVVjj7Mnz9f2LRpk970U6ZMYVJSUuj7M2fOaDWOs7Mzbej8/HxR3zR05coVBgCysrJYAOjWrZvOWUMLPXv25AHg+PHjIgAMHTqUFrhw4ULasrNmzaKV27JlC+Pj42MxY8YM4fPnz8yiRYsUzHN2dhbbtWsnlZSUMAkJCRwA9O7dm6aJiIioU5G6RUdH0/IbN24sREZGltsx2rVrJ5Z+J548eVLBzKpVq3IA0Lp1a/r8zz//pPmNHDlSTE1N5fv06SMCwO+//y49evRIUd6DBw/YN2/ecHv27GEmTZpkFBcXJwHAsGHDtNbalStX0nLu3LnDAcCbN28kQD0tX7t2rSzvDh068AAQGBgovX37lrbc3bt3mUOHDlEm7N+/X9Gqc+bMURD58OHDirV6KVJTUxVDNyMjQ9Fbq1SpwgGApaWl+McffwgA0Lx5c9pBeJ7nAcDMzIzWo1mzZgIAODs7m5D1iCywDRs2ZJYuXcqnpKToXeQ1MXv2bJJWAIDQ0FCppKRE0pU2KCio3Hy/fftWofWQ4suXL4rhxnGcBACDBg0SYmNjLQDg6NGjZvI0ZIdG8O7dO63K9urViwEAQ0NDFgBycnLExMREI3maTp06Mfv371cQRBrhl19+4QHA1tZWi+Dly5crOsWzZ89ofezs7OiU16JFC/rcxcWFL6WL5mdpacn9888/qrlz5yp4cPLkSUrPlClThFIaRQCQj5i2bduKANC9e3fKn0WLFunclXbu3FkspZm1tLQ0jI+P157mrKyszDSfPXnyRGdPAABvb29DAFizZg1No7kgt2jRQpNZFZ7fCZ4/f671zYkTJ8RFixYpiOjbt69idPr4+Ojsjfv27WMBoEaNGor0169f5wIDAxUN7u/vT+u/ePFiBS/Wr19P03bp0oVjGIb+trW1lQCgY8eOzO3bt/mrV6/yjRo1EpydnZk3b97Qeq9cudIEulClShUtoq2srJjg4GAOAIYMGaKXkcHBwWL//v2lS5cuSQDw/v17Rc/v06dPhRohICCA3bdvnwAAo0ePpswiPfvo0aPSv//+KwKAJEl6O4qxsbHWtLlhwwZm3bp17IABA8QmTZqImZmZJqXPTQGgWrVqHFC29dWFAQMGmMkXcDmSkpLqWFtb0yPAs2fPmN9++0148uQJBwDJycm0ThMmTBAtLCyMNPMwNzeXWrVqJTg7O5ti27ZtP5xTVSoVS7arzZs3p63s7e3NAEBJSYk0ZMgQ2it79+4tAYCRkZFOIv39/RmGYdi8vDx5T+YAQN7bdCEuLk4AgH379okAMHbsWJ2M4nmedoaBAwfyZOv75csXnZ1kwYIFLAAsXLhQbNiwITNs2LD/tCYCQM+ePbVGpqenp2I0nzp1ijUwMFDUYd26dcqybGxs9C44TZs2lQDg+fPnlLkeHh7sv//+y40ZM4Y+MzMz48PDw4WNGzeqZs+erchv7Nixiobp168frYCdnR19N2vWLLFy5cp6R4CsfJr/33//rci7Ro0aer//+vUrp1KpKsToWbNm8QAwefJkRf7nzp2j+U+cONGwffv2/22xlqFdu3YSADRt2rT8OjVt2pQFgFu3btGFaceOHT88hB04cOBHZxTh5MmTTOPGjTkAOHbsGGNvb097y6RJkxgA3PLly+mzw4cPCwBw6NChHzaUv78/raOBgYHekbZixQqtvL5+/So1atSIB4D8/HwmIyND8f39+/cFAPjnn3908qFTp04qsvUlaN68ud5pkODcuXPs06dP2eHDh5fxbuvWreK6det07gry8vKEtm3bsvb29iKgLabo378/AwBz5szRaoxRo0ZJAPDs2TPOzc1Na6pwdnamxCUkJOhszAcPHtDnBw4cUDBpyJAh9PuSkhKpuLhYLwPmz59vCAB9+vThACA6OtoUALKysrhJkybpbbz58+dr8WX8+PEiAISHhyvqvGTJEqZq1apaDVa5cmUOALZs2WKSmZmp2r17N2ttbU1FOyqVSgSA+Ph4Dmlpaf9prpw+fbqiQBcXF73f7969mwOAbt26aVVy5syZWg2kSUx+fj57+/ZtpnLlygJh5KtXr0RTU1Nh9erVEgC0atWKHizPnDlDF0yWZVlJkiij8/LyaHkjRoxgAOXBlyAqKqrcUX7mzBkRALZs2ULp9vX1ZQEgNTW1CXm2Y8cO2pDFxcU8ALRt29YQAEJCQhR0rly5UhUeHi61bdtW/ybo9OnTHKCe1/fu3avF9Pz8fMWz/fv3a+0eCObNm8cBSlnX8OHDhdLKmQDAhQsXaGWSkpL4+Ph4rd4+duxYrkOHDhIAzJgxQzp//jwHqA+xnTp1knRNRQDQr18/yuQlS5YwADBz5kytnh8aGsoDgCRJikZZtmwZDwAjR45kd+7cqbOMr1+/imvXrjUFgDlz5igYu337di4tLY0FgKKiIjE7O1vauHEj7UjVq1eXAKBHjx7aI9XR0dEEAF68eMFaWVlxgwcPJltawdfXl7tx44YEAObm5loff/78We9oadasGQcAO3bsoGkOHz6slUdJSQlrY2PDAEBoaCglrFWrVuzHjx9FAHB3d6dMef36NVdQUCABQEFBAWGcIt+3b98aOTs7a5VVs2ZNEQB27doldOjQgR89erQUEBCgYPjGjRsV3928eVPB7I8fP9KOc/v2bT4sLMyC/L548aL8rEG/69+/v04+RUREVHyDsGzZMqOsrCwGAMLCwsQ7d+4IL168oBmQEyhB9+7dFYQNGDCAAYDevXvzAMDzPK2UgYGBzl6nSy5E4OrqyhFBKAC8evWKjr5ly5bR/318fKQlS5boJPTQoUMCAJw7d475+PGjAAC+vr6KtCEhIQwA1K9f3/Tr16+KqWbEiBHlMnDdunU631+8eFHxfPXq1eLUqVN1r3+enp6cu7u7dOHCBRMAuH37tt7dVUxMjOTm5qb1Pjo6WuvZ7t27FUyvUaMGR07OADBq1Chh2LBhYlxcHF9KTIWEjvItdEFBAf2fCA4LCwsFQC15GDBgwA93atevX1cwJjc3V+jRo4dWj/bx8SEXVCK5V/n/4NixY2Vl9O7dWywuLubWrVun+uuvv+jq7+npKU6fPl0cNGiQ1jH/8ePHHADUqFFDZ4PdvXvX1NjYWASADRs2lFvh3r1783v37jWJiYlhFi9eLAKAg4ODCAD29vZs586d+aKiIkWvsrOz4wEgNDTUlIjnd+3axSQkJCimlF27dtH6hYeHK94dO3aMvmvYsCFT+lerp06bNo1PTU1V0BkeHi5NnDhRJ+3Xrl0zAQBBEBTlbdy4kf6eMGGC1uhZsGABh8uXLysyXb169f900LGyslIUHhgYaFqzZk2dFSZ77hEjRtBe0b17d1EuIyJISEgwefPmjVj6v8rf358HgJkzZ9JNxIABAwRAff9Cnq1cuVLnjqWoqIgDgBMnTkgeHh4SACxatEisyOgBADs7OwFQX0y1adOGLa0L7cRhYWGM5k502rRptC55eXkcwzDMpk2bFHw+cuSI+re++bVSpUpG165dYwBAfngDgNq1ayt+Dxw40AQAmjRpwty9e7fC4m1dmDZtGvvt2ze95wkDAwO2du3aEgCsWbPGKDExkY7eIUOGcL169WLv3bun93tywPPx8aH1nDZtmmm1atUYAJg0aZIAAIWFhSIAfPz4seJ33xrYu3cvP2zYMKOvX79KMTExJgBw+vRpRnMtatKkCT9x4kSdV85ITEzUSUx+fr7Qtm1blYODA22Mp0+f6qzs77//Xu7Z5v79+1pl9O7dW2deSUlJYocOHbTe5eTk6N2zf/78mY+NjZVu3rxZ4TPW0aNHJQBo0KCBCAD37t0zjYqKEqZPn85funRJK5+OHTsqRtSmTZu00kRHR3N16tQhonmxa9eu4po1a9gvX76wWVlZZr6+vka3b99WjsybN29yHMexABAXF6dgVEREhKmRkRE7d+5c+hG5T5CjWrVqooWFheLbPXv2SABQpUoVPiUlRasBpk+fzrx7944+37BhAzt79myVh4eH8OLFCy1mz5gxQ8jKyhIAwMbGRtLMs1q1aop6bd261aRFixZifHy8SKY8JycnqXXr1pSWI0eO6N3F6RIUykFO6wSenp7SP//8w5F7JACws7NjAMDW1lbzzKZ/FklMTBQBQBAESqCDgwMLAJcuXdKpWUKwYMECrlq1alyNGjX4Nm3aiABw9uxZHlAL8ki6bdu2KSqflpbGbtmyRQKAmjVrsqGhoTwRH2ji6tWrNB9TU9MfTh8pKSmmQFmPBwBvb29F3jExMZRBgYGBTNeuXSmD3NzcuMDAwP9pmrp8+bKC8bm5uYprYQDo3LmzYmr6888/dU9VupCbmyvZ29uLvr6+tMc2atRIcHBw4KdOncoDZZf/9+7d02r1unXriqNGjdJJXHx8vCGZrwHA09OTf/bsGZOWllahNejatWs602mOnPHjx+tM9/LlSyKDYwBg06ZNOhlD7sDr16/PGhkZaeVlYGAgurq6mgBAYWEhCwBt27blDx06RBtDpVJJgLbIxMXFhSNrl+Iwa2ZmJpR+qJgqZs6cqdmzTatWrVqh3UhGRobOc4SLiwvz+++/MwAQHh4utGjRghs7dqwKADZv3iwBQKdOnWi5HTt25B48eFDRtYAD1I1LHrRp00bBxE2bNrEBAQFkipbI3YTm7lIu1BwxYgSzd+9e7sOHDwqGdu7cWQIAU1NTAQAUygqleP36teZNqiEALFy4kD6fM2eO0fTp08v4Gh0drZfJGzZsMA0LC5MA4OeffxaIYteWLVsEIuklaNWqlfDXX3/RHlq/fn2TRYsW/bABp0yZokhTp04d9vv376yXlxfN39/fX1GWv7+/AAArV67UkqGdOXNG+v79O3f8+HGttcvf398IAAwNDRWNXFhYyMh3XpowNDQUc3Nz9a45BPINy+vXryUA8PLy4kaPHq3vCCABwIIFC8SdO3eqaczPz1cklu+eli9fzqekpCiIliSJv3HjhkAkqBYWFgIA1KlThyGNp4kqVaqI379/ZwGgadOmfGxsrPjw4UMeAA4ePFjuVa98yiRajvqwePFigYhBSvMW5RdaBOvXr6frY8uWLSUAcHd3VzTS+/fv9TbAw4cPpeDgYMnR0ZHWrUmTJvRcAwAnTpzgt2/frqBtxowZ0ogRI6TSunE3b94UHj58KK5du9Zk2bJlat69efOGq1WrlqJ3jBo16ocHxCFDhohyxTgAMDU1Fb29vRWEyTX5FBcxALZv305/Hzx4kAWA27dvG5qZmbEfPnxQpH3//j3tKEQkcuzYMS0pwvbt2yt80Lt27RrN8+eff+ZtbGwU9Gzfvl1vPnK5l62tLQsAUVFRis5NNjma6NChA633tWvXBFdX17JyrKysFAzcvXs3DwB3794VV61aZQIA5IRMdkdy1KlTR64uw48dO1YA1HOsiYkJt2/fPv779+8/VHjYsGGDCACmpqYSANy4cYMSXFhYSAmT30UQODo6cuPHj6+nK99x48YJBw4cUNQ7Ly+Pr1SpkgQAr1+/1rsLEwRB0NylAWUiI29vbzrStm7dSut4/vx5rSnqyJEjQuPGjbnMzEzO2dlZJftObNy4MTthwgT197Vr1+YB4OHDhwwAODk5cenp6ToPiBcuXNDZ4r/88osEAKIo/nDLqMmA7OxskWVZ4fHjxxUS29StW5emGzduHA8A7u7u9cizli1bCtOnTzcDgFu3bvElJSXSmTNnaL2vXLkiTJw4kfbQzZs3C6NHj9bqMH379tXJAx8fH9MxY8bwAHDnzh1p3LhxHAC8fPmS9/DwUHyzadMmNjY2VgUA/fv3V9AXHh6ufxSfOnVKiI6O/uFuJisrS+dFVFJSEvv48WNm9uzZOnctQJkU4MiRI7TRzp07R9ORXZa1tbUEANu2basje0e/OX/+PHft2jVFPRo0aMABwJo1a/SKTQ4ePMjWr19fQePx48dZAAgKCmJu3rxJGZSamkrz9/Ly0tnJwsPDBQDQPMm3aNGCBYB79+7p7GDz589X5Ee2005OTgKCg4O1CrOxsRE0L5sWLlxIKzt9+nRx//79/5PI2cDAgPXy8jI0NzfnP378yI4fP16aPXu2FBYWphh58kOVHObm5oo1g1xaEZw8eVLR052cnHiinU6QlJREmf3PP//onUo5jmM+f/6s+PbAgQOUL8HBwaKmSg/BjRs3eJVKRTvHnj17KnbYnD17NteqVSsJAPr378/Gx8crGDNu3Dj+yJEjOgtt0qSJoZeXl9YU9v79e1rpDRs2MADw5MkTAQAeP35MGZqRkcEBQGBgoOJQJl/oAUAuuomPjydKyhKgVI5zdXUVLl++TL/dtWuX1oivXr16ubNA48aNWUA5cgHg7t277Jw5cyitvr6+5W6BbW1tRU3enD171lAURX7QoEGKUdytWzdl554xY4bO3vjo0SMpKSmJyroAoEuXLox8G1mvXj0eAPbu3SsBQN26dbkrV67oHT0qlYpr0aIFreigQYP+k7i/c+fOUnZ2tlZvmzVrFu00RPnvzp07WswfMmQIR/Rp8/PzxaVLl2rl1aJFC+bTp09aU9/Zs2cZuQ7bn3/+SemMi4sz3L9/P3f//n0t2sn1dXp6OhcSEqJzDV6wYIE4bNgw7eUgJSWFPXr0aLniCz8/P0mu0REUFER1gz99+kSZ0LdvX6FTp05ahLVq1Yr7448/aA8bPXq0pKnwRkA0OoAyMwmO4wQA2LNnDw8Arq6uzPnz5wUAIFehS5YsofUg+rZyjBkzRgSAypUrKzpEQEAAI6fD3t6eF0WR1nXUqFFavPnjjz+kvn378u7u7kT1ldJClNjDwsLE5cuXKxrf09PzxxKIKlWq8ECZ9LRJkybMvn37qE2ci4uLzt5/8OBBcidNC7G0tNTq/YMHD/5hJXJycmjFQ0JCFOV9+/aN79atm9bZIzAwUPzpp58UzNq8eTMDlDWSHPv37/+hEltpfSkNEyZMYIyNjakGSd26dQVPT0+O3By2atVKBahH8YABA2gdzc3Nac83MDAQXVxcOJSaOBCrqUOHDqkOHDigppvsiNauXcuQndb48eNZ8jwpKUkEAHJh1bx5c6aUWbyTkxMl7KefflKsNXKDyBYtWvD79u0TU1NTeSInCg4Ollq1asUAQFxcnFbjXbp0Sbp+/brWXB0dHW0IALdv3xYAYMWKFSonJyeWiPxLadLZcVq3bi1ev35dbNy4Mbm1pHU0NTWVvL29eY7jqM4yAFy9epUFAM3DMwE5dxG0b9+eB4Bnz54JpflSHp0/f94UAJo1a2YIAG3atNGtBU9ANDkmTZokJSQksI6OjrSwefPm8VWrVhUBIDU1lQMA2qpQ6wjHxMSImhuD8hARESENHz6cpr916xZlJMMwIgB069aNEvTXX3/x1apVY5OSkrSks/fu3eP27NmjAoB69erRet+4cYMdPHgw06NHDy4iIoIhZ6yEhIQf1rNLly5cUVGRQO4wyI2jJhITE9lHjx7xRBJBDolr1qyRKleurJiq9uzZIzRs2JAFgAYNGtA6XL16Vbl5IrZ6BFFRUUYNGzbksrOzDY8ePcoQrT7NrWbpM0VFR4wYwQHA9evXTQDAysqKNTExYV+/fs3269dPrrtrBAC9e/cudyoje/5Ro0Yx6enp9R49eiTk5OSYAkBycrKhrkuwgIAAqWnTplLHjh05c3NzFQBUqVJFwRwrKytysKTlu7m5adnLyJGQkCDKd3P9+vWrUAdMTU0t96hQqVIldd0cHBx+mCHRs2rdurXe/bSmjTjpiUTcTfDt2zdRruymidDQ0DoAMH/+fKPs7GxF40dFRen9rnHjxlxcXJzWFj0xMdEUAFdqmEO/d3Z2lqsNCfv27VPk3axZMzYxMZHSZGZmJhobG2vRT7TXf/rpJ2H37t2GxHD18uXLDLFsBoDp06dr8XnVqlUMy7Jlz3VJQgGlkldwcLAQEBCgSLdw4UIzQNvS6pdffmEBYMmSJap169bRyoeGhjKFhYUi2QJqIigoSFy1apUIAJUqVVIwdfLkySIAFBYW6p1v7927x7dp00YCgBUrVlTo/oRoy8s1KF1dXcUhQ4YoaIqPj2fIFE3kbPogSZJOVR8rKyv+5MmT/Ny5c0UjIyP9cr158+ZJ5CwBANeuXdNXINHGYMiiR+Dh4SHZ2NhwGzduZIcOHcqYmZmJBw4coIwfMGDAD0egkZERrfyqVavot+/fv2cAQJ6fHHPmzOHIPXmlSpUU5bRu3Zr+5nmeft+iRQuxY8eO4tatW9nc3FyJ3H5qonLlyhWyAMvMzBQB4O3btwxQdlfTrl07sTx7FI7jxA0bNhgBSrVZCqLdYWJiolNeRe6Mv337xsq+URQ4fPhwxZBesmQJc+vWLcqM48ePi7m5uYyHh0ejefPmUUbY2dnR73bu3KnFfEtLS7a0bK0RXbNmTWbPnj2UoEuXLonyCyGe5xmyq5o/fz5NN3nyZCMAOHnypKLOkZGRQukMoVWWPtM2AvmFnI2NjQQAx44dK3eLnZWVxcotnnHz5k0+LS2NGzlyJNeoUSOdLVpSUkI/0GWYU69ePREAhg0bxgDKoUu0Drt3767Y+RBhIoGDg4NkZGQkPnv2jAWA9PR0CVBbwJI7ltq1ayuII73x+/fvHKA+iBFt8tI89I7OVq1asQAwf/58mp5oTMoh18QPDg42KSoqEgBI+kysV61aZQQAv//+u87loGvXrhIAvHz5Uvjw4YN4584d5ei4f/++9O+///5wWmnZsuUP0xCN8qVLlyoqQ0wHNNGoUSN++fLlrJwRXbt2pRXUJfzUBBHt/Pvvv+zSpUsVjdy4cWPG2NiYKykp0WJOUlKSok6ZmZksoJQYy0/dERERZoBagPnhwwcJAKpVq8aQHR5xhAOoe/2XL18U/BoxYoSZfDsOAIIgVFzD5dGjRwIA7N27ly6mCxYs4Pbu3Usz2bJlC/1/ypQpipb+/PmzggmksTR3M7qwceNGFlBbX8mfL168WEHkrl27WC8vL5aob9avX58FAEtLS7LzIYdaHgAOHz6s1TCRkZECAHz58kVs2bIlpScuLo65ffs2La9t27aUDz/99JMAACYmJpRmuaL258+feWIXAwCFhYUKpQ+yw5syZYrg7+8v1axZU8zJyVGXdfLkSRWgFvwBQFBQEOvm5iYAQI0aNZgWLVqwgwcPrpCowcnJiQWAZcuWaS1SxOyNTF0eHh5iUVGRIh0xFAIAcj/x4cMHqXLlylKVKlWEb9++0cYsKSlht23bJgBq8wSgzG2SPpBpUA5iyGlqasoR+djQoUN10uvl5SXNmzevwhqRZMGPiooykjcuAISHh/NAmWpuu3btdG8iatasyXbq1IlWnLjfICCHKbnPEk08ePCAAYBevXpJpX/FOnXqiLVq1WJFUSx36ktPT5ceP34sWFhYiLGxsVJgYKDUpEkTvUzQdNOhiWnTpumsJxH/jx07Vue0UVRUxL18+ZIHgF9++YWOjpCQkNbk/0WLFjFkcyBHmzZtaH1fvXpF60euD0aPHk2fFRQUsECZkgRFw4YNFeIIuVHj5cuXaQbnzp3jyGEvOztbXLt2LS1c85IfKNNO79mzp9SpUydW7lPLwcGBEjNq1ChJfg/x119/0f/9/PxMAaCkpERnw8i3tQ8fPmSnTp3KWltbK+RgV65c+WHPPnXqFK1/ZmYme+bMGeLcTNi1a5fw66+//mePFABAtCP79u1rCADNmjWj+Tx58kT69u2bRN4pcP36ddpKxNCSYMKECQIAnD9/niGiEXd3d37t2rWU8NjYWJ29ceHChZTQuXPnioD6Vk2eJicnxygjI0MEgFevXkkAMHjwYBMAiIuLq2dlZSUBgPyi6H9FfHx8uYwl0muCzMxMAQD8/PyoWGXo0KGKNMTVyKRJkxR8I04JCObMmVMHAGJiYngAIDYt9vb2LOSmxO/evVN8SJyxODk5cSYmJpTRFhYWip5nY4jUXHcAABvOSURBVGNj8ujRIyEtLc0QKNPrqlq1Kh3mcm11Xf6z5AgMDFQQdP/+fZ3pIyMjuR07diiGORn21atXZ/Pz87nc3Fw2MjKy3HUlKChIAoChQ4dqdSZTU1OtZ6tXr1YBat0s+XMbGxt96w6tv6+vL9+kSRN+/PjximnOysqKJ9IALZw9e1ZhoDl37lwpOztbJJc6BBkZGRW+V5d77iH6vnLRiqmpKdO9e3ceUNuv9+/fX3Rzc6MjgWjdk0bv0KGDJHcwQFBYWNiA/J+Xlyc1bdqUEn7gwAGJqDPJsWPHDtHS0pIoGlCacnNziXhf615l165d/PTp0xmWZbWmQXIOIbvUefPmSbo0LInK6+nTp5V0yBXQhg8fznl5eTGHDh3Sai17e3sOAD58+MDt2bOHffz4sRgREaEoiGEYydPTkzbc06dPdU5hukytAaBjx44sAHz//l3BuGPHjhnJnaNp3vTpw/79+6WIiAitjjN27Fi9ZtwA4OjoKOnSNvH29iZ3+pQ//v7+nKaTNDk0d1ea+PXXX3WvbZcuXVIQ+eLFC1rIqlWr9I6GmjVriv7+/obm5ua0peWGPw0bNpQAwMXFReuyacGCBQpCdu7cqah8aGgow3Gc4pmbmxsHqH16DRo0SJBLS+W7G4JNmzZJ9vb2PKDWqElMTLQAgC5dupB1Qe8USiyPCVxdXQ3lGxxNO0ICuYe60u84X19f8cuXL9zYsWNZDw8PZuHChdzUqVN5R0fHMr6EhIRIU6dOJf5E6OFFs4caGBgwb9680eXKiQUADw8PAVA7Ndu9ezdNd/z4ca5Tp06MnZ0dQ+7NGzZsKABlXunICfnMmTOGp0+fFkq/EzMzM3V2guTkZNpzyUhZunSpor4Mw+jcyrZr165CJ+OjR48yr1+/1mrchIQEXm5PogtjxoxhASArK0uRTp+oJSgoiD1+/DhnbGxsig8fPkiaUlJ96NKli4JBgwYNMps8eTIvF6iRMwoRhUdHR/MpKSn86tWrFY1pa2urd8ogGuH6MG3aNPqe3KPLLWyJh9Hs7GxToi1YvXp1rc5ElL0BYPHixYr3xERDE2StAYClS5dKRIYmx/Pnz1kACAgIkN8GGhFHOsSCmYBILmxsbER06NCB8/HxEcjVrByenp4Ccb6SlZUlaMp+ZJWUyAn606dPQpUqVcTKlStzAQEBJsHBwUYAIEkSByi3jZUqVaJE/8hH74oVKzhCyIwZM/6nbS+ZCeQg6xJxy2FjYyPq8zVMkJ6eTqeYJ0+eaI24kJAQAQC6d+/O63I1KwfP81xmZiZLbxMdHR3LNVuTg3iCJl7fsrOzFWtC9erVmdDQUJ29u3Pnznz9+vUVjKyou9S3b9/yZEt+8eJFfu3atZQJcqP9ixcv6iU+Ly9PAMq8gcrRokULidzBEFNpfVizZg1H/Ly8f/9ePHz4MK/QXC+tb/v27SWgzFknABBjJycnJ07u9HP16tXcnTt3lOUWFxezW7ZsYXfs2MHPnDnzP6uJ3rhxQyBOitu0aUMZs3r1apHo8t66dUsEgLy8PMpQYhMIqA11dOVdUlJC81uyZAlHDo0A8Pfff/9nu/qrV68arVq1io2JieHc3NwUtJqZmQlDhw7lAbWsTW7vQkY5AHh7e9P/mzRpIgJl0ycAXLhwQdE5xo0bxxB10tjYWPqOaKgo4ODgwNWtW5dLTU2VZs6cWW6vbdmyJbN48WKR+HMnysoAsHDhwh/2eFtbWxMnJycFEzdv3iwCwD///KMl3yEgSnIEffv2VRCi6zxQtWpVHgDi4+PFjRs3SppWxoC2KYY+aPpA0YS7uzv3+++/S8RNOgHZRTZs2FDYunUrkUCzX7584TQX/e/fv5eVQWT3xGL248ePgoGBgQCoxdNDhw4VVqxYoXPubtasmVbP/vvvv1k3Nzd23rx5glzxTRd2794tzpo1S4sxYWFheqcgY2Njnow0IqX+/PmzIr2mfZ8oihUa+WRdaNmyJTtt2jS6+bCzs5PIpVZQUBCTlZWlt5Hk9ixAmRaOJjZs2KDk6adPn8SLFy+Wu0j26tVLCA4O5nWphcoxbtw4BVPv3r2rqPDatWtVGRkZbEXdd8g9aJeHu3fvMrGxsRKgVu0fP348Hx8fT8y0xRMnTmjRJwgCravc5VJxcbGibm/fvuVWrFghEM+rcrx7946/ePGiAJR5xyOuBRctWqTVwaZOncoA2pbBDx8+5ExMTNiBAwcq1/N9+/ZJ69atU+3atcsEALp3725K7d408PTpUwYABg0aRBd2ExMTok7KFRYWUiKHDx+uxdhdu3bJxftieno6//TpU0rEsGHDuPHjx/PEHs/S0tIIAGbPni2OHj36P61xkydP1kr/9OnTCjU2ALRt25YDys5cBPfv35drw/PGxsbc58+ftcpyc3MT5Sq49evXp42+fv16BgCINRcAoEuXLrSgs2fPKnqIvi1m27Zt9TJF7navlBDDLVu28ERGVhHoMlurKBYvXiwAAMMwAqBmCHnXt29fLd0rKyurCo1YEo1h5MiR4pMnTzhyObZnzx76vY2NjaLRXr58qUWHLu9IZMMDADhy5Ai53iTidREAPD09FUOIBDWpV68eSzQqNBcxANixY4cUHx/Pu7u7Cw8ePFBUMDU1VQDUFlHbt2+n765evcrLzwkDBgzgXrx4wVlbWysad9OmTTygvrpdvny5TkY+ePCAl+/MgB97TN26dasEAH369KHMIs7L5Jg0aZJWPuQen3hunTx5Mks0IV++fKkCgOXLlwuPHj3Sq02j8LdIPA1oHg7lnhZIRBxdC/ujR48Ea2trYuJslpKSwvXq1UuaPn06daHRoEED4cuXLz+cajRd6BEN9lGjRilO9prhNOQwMDDg5VF6CIgUYeDAgfyKFSvMSHkK52GlSEtL05K79ezZk6abNm2aAACNGzdW8MPc3PyHoplnz54xxHlNo0aNRKI/Jp+ptGBvb08LHzdunEj8TBEMHz6cKSWSYxiGJRUkePz4Mf2dlJTElpSUcIsXL5brShnKnQwQFBcXC8SrHEFMTAxtyMLCQsU3qampquzsbEnu4KVHjx56RwNZu3766Se9xBNtdzlevHjBkVHWrVs3rkGDBgygPQUCwJIlS+oYGBiw8qvhHj16MCSIzcCBA000vWQAalcm9EdiYqLCO09F0aFDBy43N5cjpmDPnz8Xv379SgsjTswGDx6sUypKFYwBWFtbCwBQUlLCtGnThgEAGxsbHgDs7e3FzMxMrdGpuSuS48iRI3IbP97Y2JgS7OTkpBhxxPGmLsjvv+UGq5o6y3KQ6A4A4Ovrq9VoZLom9y/EhSzq1avH3rhxQwDUsqs3b97o1PwuKCgQiMcDXZCHhFi/fj1N5+fnJy5atIgjLsAjIyPZMWPGMAAgD4lUq1YtLYb4+fnxSUlJlOgZM2bQ9eTGjRtEu54y6+3bt8SUgjYE8QAnN3kAgFWrVrEA2EmTJgnZ2dnyGz1V586dBUAZrwQA+vXrR/MNDQ1l0tPTpTNnzlDGBwQE8B8/fqTf8Dwv6vKq9+XLF27p0qU8WXsSExPZkSNHsvv27VPXIykpqcLbSD8/v3LnSBJng4AcLnVB7vMQUEdpIz4Xid2j3PGMsbExDwDv37/njYyMOF3xSl6/fl2hUS7XmNF0CX78+PE6AODj40Ofe3p6GpLt84QJE1Rv374ttxwHBwe6BqWnpzMAcPHiRenq1aucr6+v5O/vb9S4cWPaEe7du8c3b95cJB9wAEAWZrnbcM377AYNGpTbIJ07d+asra0FPz8/Xq7+QnDjxg1WLjp58eKFeODAAZNz584Jrq6uxCiGfvfp0ye95fXs2ZMSbWhoKHz48IGbMmUKC5TFo9I8R7Vu3doQAB48eECfaxrw7927V9I6QUMtnhk1apQpoD7F66uXtbU1q+kcQRfkugPm5uYMnVI1ZUuA2lp13rx5Arnt04XU1NQ6Li4u3IIFC9iHDx+WW4HBgwcLCQkJAvF7QnyIWFpack5OTgKgVMEBlJqQ27Zto1vwyMhI+rxr166cLoOZ69evK/J68+aNqCla0URxcbGwatUqRV579+5V/NYVnU4O4k/x4cOHzNWrVynviJnG/wz5cALUx315DECC4OBgnQfH4OBgvQ1J7DGCgoJUAPDrr78ajRs3zszPz8/w+fPnAgBs3bqVc3NzU2kyCABatmwp9u7dW9TUCPn69SsDqKM7WFtb88SUQRdGjBghzJs3j/nzzz8Va6Yu6WuPHj0M/fz8iCYnBwCCIEiA2hW7PHZXr169GM3QUHK8evVK2rBhg6Jx8vPzlfWMior6oR8ouUMWfZg2bVqFegHZHAwaNEjl7e0t5ObmcnKHYQS+vr5CZGSkXiOdgoICRm5LQuxENO+5O3bsqMh79+7ddHMgv2rYtm2bzhHUsGFD+v2aNWvo7ox4LgXUPhf11VOOuXPncoD6ukLznSRJZfwjSnFBQUHlTj3+/v5idHS0XiYlJiaKDx484IcNG6YgrkuXLuyAAQOEO3fuCM2aNaNlDBo0iNGMIkog37aSSDUJCQkSoNaJ+vLlC33fqFEjydfXl79//z7n6+vLx8bGVkj0QkItyZ0jECuvPXv2SGfOnJEAoEqVKpKZmZlYWFhIGd+oUSMOAPbv329KTtrk8EmsvuQoT+/4xIkTZfXduXOnYG1tLQLAvXv3pO7du0vE3OvYsWNGQJmNREFBgVSrVi22NBMWAE6ePClMmTJFMUzbtGnDZWZmGgHApUuXWAC4ffu2CACa6pjXrl3T2TNXrlwpTJw4USG+Ib1oypQplGBBEERAHcvkxIkTIhEBEdd7BHJtEYJOnTpxOTk54rJly0wAgGhOmpubC4AykM3ChQu58PBwYcuWLXVIiFVnZ2emW7duOv01rlixgtKl6yBoaGioe0qdPHmy8OXLF3H79u2s/IDUuXNnMSEhQX7vzTx69IgpLaxckb08KPCRI0ckuVimadOmYkxMjCg30AwNDTUFgKtXr4oAYGVlRafRDRs2qGbNmvXDaVWOGzduiDt37lR0kmnTpqnktifEuEiXH2FAvVb9lzK3bdsmAepTuYuLC/vs2TOVjY0N4+3tLb5584ZzcHCgI4REiuvUqZNyJIuiSBShFZX/kTAOUCtdy3/PmTNHAoC8vDytRY2o3J89e5a7ceMG+/TpU5bI0IAyX1LEyX3Xrl11lr9+/XoRKIvpAZR59Pzw4YNYqVIlLebOmjWL2CBKXl5eNF+ir6sPxIUHQadOnZj169cb0VM1gMqVK7OBgYEm8ttOghEjRkgXLlwQHjx4wBIlQ4KJEyeKffr0UXQyfT7KFPjll18kW1tbmlDu8k4eHJioWZqamtJCfnRIKy4upt8vX76cCw4OZp48ecIDysCPbm5ubEhISBP5t0TDUY7k5GQJAOrXry/l5+drMUjz1Ozk5MQAgJmZGbt8+XL+w4cP0q1bt8SlS5dKmh5IK4o+ffpIhw8fZu7cucPfunVL0aBBQUH0tzwcoSLs+dSpUwWitgKUxbwliYqKinj5nUhaWpp4+vRpC0CtxZ6bm8vUqFGDq1u3rgQA9vb2KgB4//59ubsOIuJ/9uyZSvMcdPLkSeHs2bOK75s2baqSOyeQx+Yl+Pnnnys0rWmK0L28vMRFixZJJK7HkiVL+NJ6cHIX6La2tuKECROI3q7WCCaHZs1YWQCQm5vLA2o7Svnz8PBwISwsjKfhl4KCgnT2YnLDdfr0aUUG9vb2Ipl7u3TpIoWFhbGAMr4hoDb56t+/v1Yv8/DwUFR28uTJAlAWhMXR0VGvp+eCggKJnG/kDdatWzcVAMgDPBI4ODjonJaIOKO0DiwALFiwgOSpqLemQ02ivU/CmQNqlSBd5djY2HBkZMjTm5ubl79Nrly5shQREWEIAKNHj1YBQGRkJB8QEMC2bNmSA8qcsRDPDyzL0kzT09NFZ2dnnpy65SBCOXKnTKAZx0oe8iIiIoL99ddfJQBYsmSJYceOHZn379+zd+7c0ep98uigcuusqKioekePHhVXr14tt01hatWqVaEt8ebNm02OHj1K3DUxgPryLSQkRMF8d3d3jmjqd+nSRahWrRrXvHlzo6tXr/Kl7xXl/f3337Q+DRs25AFtfQRYWlry8uiYBPLoZnJMnjyZPX78OEt2KCSUKaCO+bF27VpW7lWUBGDRheLiYp1lEG90ALBt2zYTsu8H1NFH+/Tpo/c8JJ9qNP1UjR8/nhJPlBLKc8xPEBISYubj46NplcW0bNmSSBxETV8qeXl5wsaNGxWifldXV75Hjx4cAISHhxsCAAl1S/H48WNK/LJlyxTTBgleXFRUxAMA8ciZmJhokZGRYVKaoQSoI3c6ODgIHh4eDAB8+PBBJ7NjYmJoxdu3b8/II2qOGTNGAJRBxojOV+fOnfU2LDlLAcp7lnnz5gnEPmP+/PkioD6tE4/a8uidcsitvnTh0aNHtBNSC1o9SE5O5o2NjRkAyMvLo4367t07ycLCQlQEKz506JCozzEZoO7BJAYtoNb8e/nyJefq6soXFBSIjRs3FvLz86XCwkJToMwrW3h4OPsjDzgE+fn5xDiUB8ritxcVFUmavk8AtXu9q1evSkOGDJFKI4SCuEEncHZ2lvLy8qT09HQRUGu0A2UHxG/fvrEuLi4CcUbw+vVrUe70kihL2NralitQ3Lx5M3X9R+6F5BEWvLy89PLg0qVLYnh4uKBQxEtMTJScnZ05AKhXrx4jnxpIhM7i4mLWzs7uh6EVzp49a/Lt2zcGUBvLlNdz5NHUAGDTpk16NeL13WYmJSXxALBy5coKK2AbGhqyYWFhOmkh7kUqVaokurm58Xfu3KGMUqlUtAzii14z8umPQFwHTpo0SWrfvr3m5kGbhpiYmHIti3SBmPrKoak1CKhVh/7++2+a1tvbmw7dmzdvMmSxXLlyJa3otm3bJKK71KlTJ8HQ0JBWWu4jSx7bneC/urKVj8Q+ffpI2dnZOjtBnTp1uIEDByrydnV1Nevbty9HfPYGBgYyCQkJrFzlh9BHnFHr8i6BqKgoMTY2VvDz82MsLS1NAWD48OGGR44cYS9cuCCWEkaZ4OnpyRw5coROX/qmusuXLyuIOXnypFY6XSFZgbKpRRP9+vXTmd7BwYEha+CnT58UFlXJyclGQJkk4Pbt2xLxwEPw/PlzMScnhyXuP9zd3fmMjAxaVvPmzRU7oLZt2xr5+Pgo6qgIN6EHp06dkmJjYyXiMvGvv/7ik5OTDQG1MU9aWpoEd3d32kvnzZvHaarWA8CqVasEAGjWrJne7eK7d+/Yli1bCgAwevRoltxNyPH+/Xvu1q1bWs979OghAcBvv/1Gp5Hw8HCGaI8UFxcryiXuMyIiIuoASifPq1evpmk1g5fJIfeJtW/fPo7YhzAMw+jSPty9ezftzW/fvmU/f/4s6bKTJNZgciQnJ3Pp6enCmjVreC8vL/qNg4MDY2dnxxkYGGiPxLCwMOHt27fMr7/+KhKTLIKOHTtKDx8+JEwwSU5OprKqBQsWiABgaWlJmZmTk0OUDShhYWFh9Jt9+/aJM2fO5AG1OcGOHTu05s5du3axjx8/5lasWMHqM5ok2/SePXuKaWlprKaQ0M/PjwPKbN71wc/Pz1SlUoma164dOnTgjh49ypFwRbocMxMDpJycHFEe2LhHjx4C0ZIhAlmgLMJ1586dWYB6k9Du6HJXdnJoXu4Q1KhRg01JSTFav369Vo+4cuWK9ODBA+7s2bPSzp07tb4vKiriO3bsSLd53t7eirKJt1GCrVu3Mrdu3RILCgoYQG2DPnjwYDNAHZfk1KlTrJeXl0DqamFhwRB7PrkhqhynTp3SolceThxQG4gCwG+//aag4fnz54rfPXv25IhLqdLvqA9fAmJaDZQFI4iMjDQCgLi4ODYsLMwkKChInUa+QEVFRUlt27allc3JyRHlTsPkqjBypKWlSenp6dyMGTPq6XoPACkpKYLck7STk5NipzN8+HCpUqVKIqD2Ok0M+YkZgaYb2piYGJ116dmzp/Dzzz9rdYQLFy5wixYtEsaMGcMRiyz5rR+JSSJLr2ggQRAE4l0IUFtKad6VC4LAzJw506hPnz5iYGCgYUBAgF4Bq6enp9m///5Lv8/Pzy9LKw/0W7VqVXH8+PGGuhZiXUhOTub27t3Ltm/fXsGw5cuXKxh+79494ejRo7QcuRqm3BSuV69ehrVr11bo9Do6OrJDhgyRMjIyiFyILsxTpkwRmjdvLkqSJAFAtWrVuLi4uB/WndyT9+7dW3J0dOTkHhdiYmJMAWDQoEG0HM2A9poCUIIrV64I8fHxtHE/fPhA/4+Li6MNkJWVxQJlSnrR0dHqBlm3bh1lzLFjx+QqQBzP8xIAdO7cmS7+cjfe5E5BV7B4OTZv3iz+/PPPPAD069evkYeHh5YgMC0tjfaQs2fPqgB11BsZoQqGkJB/xJeu3DOcHJMnT9aankJDQ1lBEMQ//vhDkDspI5A7iC4PZPQSwaFcNYmAbIaioqK08tTy4uDs7CxqJnB1dVU8S0lJYQFg+/btZoDyEBYfH19PsxDNuEuAOjBkQUEBa2BgwM2dO1cFqG8S27dvryhL7rOxZ8+eCruMixcv8qRXa4L4VCSROseMGSM4ODjwZG6fPHmyBQDUrVuX5h8aGioSbXzZM/pbrlz97t07ITw8XK65SBu/Zs2akqZJQ9WqVaX4+Hitw+f169dpniRi24wZM1Th4eES1TUYNWoUzVzTkOXgwYNave7Vq1ecJEmai5YhsRUk0BXQJCQkRJw/f760bNkyBSMOHjyoSLtx40Za7uHDh/XKlDZu3Ejz8fDwYIEyFyCA8iS9du1aU57ndW5S6tSpI+Xl5Ykkzm5sbKy4ePFilbe3N1+/fn0FT0jdiUoQAGRkZDDXrl3j3rx5QxuBhHAit7KAWk9AnhfpIFOnTlXXS1dASIIhQ4ZUSEyt6cZJpVIJycnJQnx8PJeVlcVGR0fr3OmMHTuWJfMosSCaO3cuZ2tra0rmZzs7O1Ez7q2fnx87YcIEISYmRgSUERR0Yd26dXqlD1WqVPnhWjN27Ng6AMCyLC93GVJcXMzWrl3b5Pnz57xc1gcAGRkZPFDm1hAAsrOzeUBpURYYGMi+evVK2Uk0nazoi6JZUlLCAmqHMpIkCYA6ZuCmTZukKVOmGAFqn+tpaWkMALRq1YoH1MpkuvIjQV4A5dVwZmYmM3LkSC0mjxo1SgDU99GlBJpdunRJ0Dw4AtoOO1u3bs2Vp5dMtFnInTuJwKkLb968UZTn5+enAgCi1CdXKSLQ7JTv3r3jli9fLjVp0oR99epVxa6LP3/+zOqKoEP8EurDiBEjKnwf7ePjI8kti4i8JzEx0SgiIoIFgHbt2tHyyJ07oLwOJUrdc+bMMQLUEtZ27dpxABAREaFghlw99s8//2SBsoCTukBkTuvXr/+hnO/hw4eK2SI2Ntbk7NmzQqmIn12yZImCNz169LAAyhzx/x9hH9n5bWLyLgAAAABJRU5ErkJggg==)
 }

For comparison, we’ve included the PNG image alongside CSS in a separate document. By examining the request log in the browser, it becomes evident that the document utilizing the encoded image generates fewer HTTP requests compared to the one linking directly to the image source.

Comparing HTTP requests for direct image source vs encoded image

Explore the demo and access the source files through the links below. Thank you for following along; I trust this guide has been beneficial.

See demo Download source