Grayscale Algorithms: Luminance, Average, Desaturation
Three ways to convert color to grayscale — luminance-weighted, simple average, and desaturation. Each produces different results.
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Tags: image, grayscale, algorithms
Grayscale Algorithms: Luminance, Average, and BT.601 Compared When you convert a color image to grayscale, the software has to decide how to combine three separate color channels — red, green, and blue — into a single brightness value. The algorithm chosen dramatically affects the final result. Use the wrong one and your images will look flat, washed out, or incorrectly exposed. This guide breaks down the three main grayscale conversion methods, explains why simple averaging fails, and shows you the correct implementations in Python and JavaScript. Why the Algorithm Matters Consider a bright, saturated red pixel: R=255, G=0, B=0. To a human eye, this red feels moderately bright — not as bright as white, not as dark as black. A simple RGB average gives 85, which feels about right visually.…
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