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Insights

Image Basics

A digital image is just a grid of pixels. Each pixel stores three numbers: Red, Green, and Blue, each ranging from 0 to 255. Black is (0,0,0), white is (255,255,255). Grayscale collapses those three numbers into one brightness value. Separating channels lets you see exactly how much each color contributes to the image.

Use casesGrayscale is used as input for most algorithms (edge detection, thresholding, morphology). Channel separation is used in color grading, chroma keying, and skin detection. Gamma correction is essential in photo pipelines because camera sensors record light linearly but displays are nonlinear.