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NumPy Image Processing Guide

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Basic Concepts: NumPy arrays enable various image processing without OpenCV libraries
Images are read as 3D ndarrays with RGB channels
NumPy arrays are immutable (np.asarray()) while NumPy arrays are writable
Image Operations: Pixel values can be accessed using coordinates or color indices
Images can be converted to grayscale using convert('L')
Negative-positive inversion and color reduction are possible
Binarization and gamma correction are available
Image Manipulation: Images can be trimmed using slicing
NumPy functions like hsplit() and vsplit() split arrays
Alpha blending and masking can be applied
Images can be rotated and flipped using NumPy functions
File Saving: NumPy arrays can be saved as PIL images using Image.fromarray()
Saved files can be customized with format parameters
Pixel values must be converted to uint8 for saving