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    "# Digital Image Processing in Python\n",
    "### [Dr. Joshua Stough](http://joshuastough.com/), 202-\n",
    "\n",
    "<p style=\"text-align:center;\">\n",
    "    <a href=\"https://creativecommons.org/licenses/by-sa/4.0/\">\n",
    "        <img src=\"cc-license.png\" width=\"150\">\n",
    "    </a>\n",
    "</p>\n",
    "    "
   ]
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    "&nbsp;\n",
    "# Preface\n",
    "\n",
    "Imaging is everywhere! In this text, we will cover broadly the acquisition, processing, and analysis of digital images, covering topics ranging from the human visual system, to image and video compression algorithms, to pattern recognition and machine learning within the context of automatic image understanding. Best of all, for the sake of access, immediacy, and usability, all content and code examples are in the form of interactive Jupyterlab notebooks!"
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    "&nbsp;\n",
    "# Topics\n",
    "\n",
    "1. **Numpy And Visualization**\n",
    "    1. [Numpy Tutorial](./NumpyAndVisualization/numpy_tutorial.ipynb)\n",
    "    1. [Matplotlib Tutorial](./NumpyAndVisualization/matplotlib_tutorial.ipynb)\n",
    "    1. [Interactive Visualization](./NumpyAndVisualization/interactive_vis.ipynb)\n",
    "    1. [Probability Distributions, Gaussian and Uniform](./NumpyAndVisualization/probability_gauss_uniform.ipynb)\n",
    "1. **Sensing and Acquisition, Sampling and Quantization**\n",
    "    1. [Sampling and Spatial Resolution](./SensingSamplingQuantization/spatial_resolution.ipynb)\n",
    "    1. [Color Resolution or Quantization](./SensingSamplingQuantization/color_quantization.ipynb)\n",
    "    1. [demo: heightmap](./SensingSamplingQuantization/heightmap_demo.ipynb)\n",
    "    1. [exercise: playing with images](./SensingSamplingQuantization/playing_with_images.ipynb)\n",
    "1. **Color**\n",
    "    1. [Brightness, Hue, Saturation, Chromaticity](./Color/color_intro.ipynb)\n",
    "    1. [HSV](./Color/color_HSV.ipynb)\n",
    "    1. [YCbCr](./Color/color_YCbCr.ipynb)\n",
    "    1. [L*a*b and CIE Illuminants](./Color/color_Lab.ipynb)\n",
    "    1. [exercise: playing with color](./Color/playing_with_color.ipynb)\n",
    "1. **Contrast and Image Enhancement**\n",
    "    1. [Transfer Functions](./Enhancement/enhance_transfer.ipynb)\n",
    "    1. [Histogram Equalization](./Enhancement/enhance_histeq.ipynb)\n",
    "    1. [exercise: playing with contrast enhancement](./Enhancement/playing_with_enhance.ipynb)\n",
    "    1. [extra: bit-slicing and steganography](./Enhancement/bit_slicing_example.ipynb)\n",
    "1. **Information Theory, Entropy, and Huffman Coding** \n",
    "    1. Communication, Compression, and Perception\n",
    "    1. [Measuring Entropy](./Entropy/entropy_intro.ipynb)\n",
    "    1. [Huffman Coding and Image Compression](./Entropy/entropy_intro.ipynb)\n",
    "    1. Color Clustering\n",
    "1. **Coordinate Systems**\n",
    "    1. [Spatial Operations]()\n",
    "    1. [Geometric Transforms]()\n",
    "    1. [Predictive Coding and PNG Compression]()\n",
    "1. **Spatial Filtering, Smoothing and Sharpening**\n",
    "    1. [Convolution and Kernels]()\n",
    "    1. [Smoothing]()\n",
    "    1. [Sharpening]()\n",
    "    1. [Gradient Maps and Edge Detection]()\n",
    "1. **Basis Sets, Transform Coding, Wavelet Compression**\n",
    "    1. [Block Transforms]()\n",
    "    1. [Haar Wavelets]()\n",
    "    1. [Discrete Cosine Transform (DCT) and JPG Compression]()\n",
    "    1. [Comparing Reconstruction Efficiency]()\n",
    "1. **Image Analysis, Machine Learning**\n",
    "    1. [Points, Edges, Regions]()\n",
    "        1. [Canny Edge Detection]()\n",
    "        1. [Otsu's Method]()\n",
    "    1. [Superpixel Clustering]()\n",
    "    1. [Machine Learning Basics: Features, Loss, Optimization]()\n",
    "        1. [MNIST]()\n",
    "    1. [Face Recognition]()\n",
    "1. **Miscellanea**\n",
    "    1. Principal Component Analysis\n",
    "        1. [Karhunen Loeve Transform and Compression]()\n",
    "        1. [Face Space]()\n",
    "        1. [Component Spans]()\n",
    "        1. [Reconstruction]()\n",
    "    1. Tomography and the Radon Transform\n",
    "    1. Fourier and Frequency Encoding\n",
    "        1. Fourier Transform\n",
    "        1. Discrete Fourier Transform\n",
    "    1. CUDA and Graphics Processing Units"
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