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This document discusses information storage and image manipulation techniques. It covers the following key points in 3 sentences: Information like images and text can be stored digitally using binary numbers, with each bit representing a value of 0 or 1 to encode information. Pixels in images require bytes of memory, with more bytes needed for color images versus grayscale. Common image manipulation techniques include smoothing to reduce noise, edge detection to find boundaries, and adjusting pixel values through median filtering or subtraction operations.