Dr. Asimananda Khandual is currently a faculty member at the Department of Fashion & Apparel Technology at the College of Engineering & Technology (CET), Bhubaneswar, India. Active in the field of textile research for 14 years, his primary research interests are in the areas of textile chemical processing, computational color science, image processing, modeling & artificial neural networks, novel functional finishes, e-textiles, and objective evaluation systems.

• CHAPTER 1 INTRODUCTION1. Introduction:1 .1 What is color1.2. The causes of color 1.3. Color constituents1.4. Witt’s theory chromophores, auxochrome, chromogenCHAPTER 2 COLORING MATTER2.1. History : natural colors & synthetic dyes, chronological developments2.2. Dyes and pigments2.3. Brief on classification: chemical constitution and application CHAPTER 3 DYEING3.1. Dyeing theory3.2. Application of various dyes to various fibres in brief3.3. Some new dyes, developments, ApplicationsChapter 4 MEASURING COLOR, PARAMETERS AND PECEPTION  4.1. History 4.2. Perception, Trichromaticity, Primary and secondary color4.3 Opponent theory4.4. Reflection, absorption, scattering, transmittance4.5. Illuminant and observer, viewing geometry4.6. Spectral Measurements techniques4.7. RGB, XYZ, CIEL*a*b*, L*u*V* 4.8. Optical density , Beer Lambert’s Law , K/S & its use4.9. CIE Diagram, Physical significanceCHAPTER 5: COMPUTATIONAL TECHNIQUES WITH MATLAB5.1. Induction to basic commands5.2. Computation and visualization of Spectral data and interpretation5.3. More advanced computation: reflectance data to CIEL*a*b* of various illuminants & Observers, CIE diagram etc.5.4. Exercises, solved examples for better understanding of spectral data, color parameters CHAPTER 6: COLOR MIXING THEORY, PREDICTIONS6.1 . Grassmann’s law , Kubelka-Munk theory, advances6.2. Computer color Matching algorithms 6.3. Neural networks for color predictions6.4. Metamerism, Fluorescence 6.5. Color Difference, Sorting and Error ellipse6.6. Analysis and tips for producing exact color from data visualization  CHAPTER 7: IMAGING COLOR7.1. Inside RGB sensors7.2. Story of Device dependent color space7.3. Interacting device independent to device-dependent color space7.4. Color characterizations and modeling7.5. Diffused illumination, modeling and rending7.6. Advances and scope for textiles7.7. Computation with MATLABCHAPTER 8: MORE EXERCISES, SOLVED EXAMPLES