What this book covers
Chapter 1, Image Manipulation and Transformation, is where you will learn how to use different Python libraries (NumPy, SciPy, scikit-image, OpenCV, and Matplotlib) for image manipulation and transformation. You will learn how to write Python code to do point transforms (log/gamma transform, Gotham filter, colorspace transformation, and increasing brightness/contrast) and geometric transforms (swirl transform, perspective transform, and homography).
Chapter 2, Image Enhancement, is where you will learn how to use different Python libraries (NumPy, SciPy, scikit-image, OpenCV, PyWavelet, and MedPy) to denoise images (using linear/nonlinear filters, Fast Fourier transform (FFT), and autoencoders). You'll learn how to implement ...
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