Image Technology Design: A Perceptual Approach: The Springer International Series in Engineering and Computer Science, cartea 735
Autor Jean-Bernard Martensen Limba Engleză Paperback – 23 oct 2012
This book has been written from the point of view of an electrical engineer interested in the display, processing and coding of images, and frequently involved in applying knowledge from visual psychophysics, experimental psychology, statistics, etc., to the design of imaging systems. It focuses on the exchange of ideas between technical disciplines in image technology design (such as image display or printer design and image processing) and visual psychophysics. This is accomplished by the consistent use of a single mathematical approach (based on linear vector spaces) throughout. Known facts from color vision, image sampling and quantization are given a new formulation and, in some instances, a new interpretation.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 961.64 lei 6-8 săpt. | |
| Springer Us – 23 oct 2012 | 961.64 lei 6-8 săpt. | |
| Hardback (1) | 965.77 lei 6-8 săpt. | |
| Springer Us – 31 mai 2003 | 965.77 lei 6-8 săpt. |
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Specificații
ISBN-13: 9781461350798
ISBN-10: 1461350794
Pagini: 572
Ilustrații: XXI, 544 p.
Dimensiuni: 155 x 235 x 30 mm
Greutate: 0.79 kg
Ediția:Softcover reprint of the original 1st ed. 2003
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science
Locul publicării:New York, NY, United States
ISBN-10: 1461350794
Pagini: 572
Ilustrații: XXI, 544 p.
Dimensiuni: 155 x 235 x 30 mm
Greutate: 0.79 kg
Ediția:Softcover reprint of the original 1st ed. 2003
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science
Locul publicării:New York, NY, United States
Public țintă
Professional/practitionerCuprins
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.