Transform colors into grayscale using multiple conversion methods. Choose from luminance-based, average, or channel-specific algorithms to achieve the perfect monochrome result.
Uses perceptual weights 0.299×R + 0.587×G + 0.114×B. Matches human eye sensitivity and produces natural grayscale results.
Averages RGB values using (R + G + B) ÷ 3. Simple approach that does not account for human perception differences.
Uses (max(R,G,B) + min(R,G,B)) ÷ 2. Preserves brightness relationships but may reduce contrast.
Uses individual R, G, or B channels. Green channel often produces best results due to eye sensitivity to green light.
