Color Spaces MCQ
Test RGB, HSV, CMYK, YCbCr, LAB, gamma, white balance, and when to convert between color representations in CV pipelines.
RGB / sRGB
Displays
HSV
Hue & sat
CMYK
YCbCr
Video / JPEG
Color spaces in Computer Vision
Choosing a color space affects segmentation thresholds, augmentation, and learning. RGB is natural for capture and display; HSV decouples hue; LAB improves perceptual distances; YCbCr separates luma for compression.
Why convert?
Different tasks need invariances: lighting robustness, perceptual uniformity, or compatibility with codecs and print.
Quick reference
Additive vs subtractive
RGB adds light; CMYK subtracts with inks—different gamuts and workflows.
Chroma subsampling
JPEG/video often store color at lower resolution than luma—saves bits with small perceived loss.
Gamma & linear
Compositing and physically based steps may need linear light; display encoding is nonlinear.
LAB distance
ΔE-style distances in LAB better match human judgment than raw RGB Euclidean distance.
Typical conversions
Camera RGB → (white balance) → sRGB → optional HSV/LAB/YCbCr for algorithm