A beginner-friendly explanation of how image processing filters work using convolution matrices. Covers the core concept of multiplying neighboring pixel values by matrix coefficients and summing them to produce a destination pixel. Walks through specific filters including identity, lighten, darken, blur (simple average), and sharpen (weighted average). Also addresses practical considerations like matrix size, divisors, handling RGB channels independently, and edge-case strategies for pixels at image boundaries.
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