S4-Chap4-Color in Image and Video-2025
Chap4-Color in Image and Video
4.1 Color Science
光和光譜 (Light and Spectra)
能量
4.1.2 Human Vision
4.1.3 Spectral Sensitivity of the Eye
人類視覺系統的光譜敏感度
4.1.4 Image Formation
4.1.5 Camera Systems
4.1.6 Gamma Correction
Gamma 校正 (Gamma Correction) 的概念
中文介紹以及Weber-Fechner定律
更細緻的分法 more general transform
4.1.7 Color-Matching Function
心理學中發展出來的顏色匹配技術
4.1.8 CIE Chromaticity Diagram
顏色匹配函數 (color-matching functions)
三刺激值 (Tristimulus Values) and CIE 色度圖的由來
如何從三刺激值 (X, Y, Z) 推導出二維的色度 (chromaticity) 坐標 (x, y)
CIE 色度圖的一些重要特性
CIE 色度圖的特性和用途
4.1.9 Color Monitor Specifications
4.1.10 Out-of-Gamut colors
格拉斯曼定律 (Grassmann’s Law)、加色法和減色法 (Additive and Subtractive Color),以及 色域 (Gamut) 的概念
4.1.11 White Point Correction
4.1.12 XYZ to RGB Transform
4.1.13 Transform with Gamma Correction
4.1.14 Lab* (CIELAB) color Model
韋伯定律 (Weber’s Law)
CIELAB 色彩空間
4.1.15 More Color Coordinate Schemes
4.2 Color Models in Images
4.2.2 Multi-sensor Cameras
4.2.3 Camera-Dependant Colour
4.2.4 Subtractive color: CMY color model
4.2.5 Transformation from RGB to CMY
4.2.6 Undercolor Removal: CMYK System
4.2.7 Printer Gamuts
4.3 Color Models in Video
4.3.2 YUV Color Model
4.3.3 YIQ Color Model
4.3.4 YCbCrColor Model
S4-Chap4-Color in Image and Video-2025
https://z-hwa.github.io/webHome/[object Object]/Multimedia Systems and Applications/S4-Chap4-Color-in-Image-and-Video-2025/