Image Technology Design

1. Visual Perception and Linear System Theory.- 1 Introduction.- 2 Linear Systems.- 3 Electromagnetic Radiation and Radiometry.- 4 Color Perception.- 5 Brightness Matching.- 6 Color Matching.- 2. Linear System Theory and Vector Spaces.- 1 Introduction.- 2 Signals and Vectors.- 3 Vector Norms and Banach Spaces.- 4 Linear Operators between Banach Spaces.- 5 Vector Lengths and Hilbert Spaces.- 6 Linear Operators between Hilbert Spaces.- 3. Color Perception and Colorimetry.- 1 Introduction.- 2 Fundamental Color Space.- 3 Color Diagram.- 4 Photometry.- 5 Colorimetry.- 4. Color Management.- 1 Introduction.- 2 Additive Color Displays.- 3 Multiplicative Color Displays.- 4 Standardized Color Coordinates.- 5 Image Sensors.- 6 Reproducing Reproductions.- 7 Color Reproduction and Image Quality.- 5. Psychophysical Measurement and Modelling of Image Quality.- 1 Introduction.- 2 Example of Multidimensional Modelling.- 3 Psychophysical Measurement.- 4 Psychophysical Procedures.- 5 Multidimensional Modelling of Image Quality.- 6 MDS Modelling of Continuous Data.- 7 Examples of Continuous Data Analysis.- 8 MDS Modelling of Discrete Data.- 9 Examples of Discrete Data Analysis.- 10 Summary.- 6. Discrete Periodic Signals and Fourier Transformations.- 1 Introduction.- 2 One-dimensional Signal Transformations.- 3 Lattices.- 4 Multi-dimensional Signal Transformations.- 7. Image Sampling and Interpolation.- 1 Introduction.- 2 Sampling of Periodic Signals.- 3 Comparing Original and Interpolated Signals.- 4 Inverse Operators.- 5 Perceptual Assessment.- 8. Spatio-Temporal Characteristics of The Human Visual System.- 1 Introduction.- 2 Eye - Optical Transfer Function (OTF).- 3 Contrast Sensitivity Function (CSF).- 4 CIELAB Extensions.- 9. Optimizing Sampling Structures.- 1 Introduction.- 2 SamplingLattice Optimization.- 3 Display Function Optimization.- 4 Sampling Function Optimization.- 10. Image Quantization.- 1 Introduction.- 2 Quantization with Bounded Distortion.- 3 Statistical Quantization.- 4 Uniform Quantization.- 5 Dithering.- 6 Ordered Dithering.- 7 Noise Dithering.- 8 Error Diffusion.- 9 Experimental Comparison.- 10 Quantization of Color Images.- 11. Double-Ended Instrumental Models of Image Quality.- 1 Introduction.- 2 Instrumental Dissimilarity Measures.- 3 Performance of Double-Ended Measures.- 4 Conclusions.- 12. Single-Ended Instrumental Models of Image Quality.- 1 Introduction.- 2 Computational Approach.- 3 Feature Detection.- 4 Edge Parameter Estimation.- 5 Images with Correlated Noise.- 6 Images with Noise and Blur.- 7 JPEG-Coded Images.- 8 Conclusions.- References.