Keywordscolor image enhancement; hue-preservation; histogram equalization; histogram specification; RGB color cube; pattern recognition; image processing; computer vision; traffic sign; machine learning; Local binary pattern; neural network; derivative optimization; light control; multi-color source; RGB mixer; robust parameter design; Taguchi method; convolutional neural networks; color balancing; deep learning; texture classification; color constancy; color characterization; data hiding; fragile watermarking; image authentication; color image processing; quaternions; genetic algorithm (GA); Karhunen-Loève Transform (KLT); color consistency; local contrast enhancement; Retinex; change detection; sensor fusion; visualization; night vision; image intensifier; thermal sensor; color mapping; color transfer; color correction; image stitching; histogram specification; global mapping curve; ACES; scene-referred; output-referred; color gamut; transfer characteristic; reference rendering transform; look modification transform; color look-up table; ColorLUT; Color Decision List; technicolor; primaries; illuminant; white point; film look; VFX; Input Transform; Output Transform; RRT; LMT; interoperable master format; CLUT; LUT; CDL; IMF; image colorization; morphing; face images; color vision; visual illusions; watercolor illusion; neon color spreading; illusion and illusoriness; plant phenotyping; plant pixel classification; colour space; Gaussian Mixture Model; Earth Mover Distance; variance ratio; plant segmentation
