Title:
Color conversation, data, algorithms, point process statistic and software guide (for ibm pc and compatible systems)
Personal Author:
Publication Information:
New York : Marcel Dekker, 2001
ISBN:
9780824704568
General Note:
Accompanies text with the diffrence tittle : (Modern digital Halftoning ; (TA1637 L38 2001))
Added Author:
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000004535377 | CP 1628 | Computer File Accompanies Open Access Book | Compact Disc Accompanies Open Access Book | Searching... |
On Order
Summary
Summary
A comprehensive treatment of various approaches to monochrome and digital halftoning. It describes ideal spatial and spectral characteristics of green- and blue-noise halftoning that provide patterns of visual appeal and computational complexity in a wide range of printing technologies. The book comes with a CD-ROM of algorithms and statistics with colour examples.
Author Notes
Daniel L. Lau is a DSP engineer at Aware Inc., Bedford, Massachusetts
Gonzalo R. Arce is Professor and Chair, Department of Electrical and Computer Engineering, University of Delaware, Newark
Table of Contents
| Series Introduction | p. iii |
| Preface | p. v |
| Acknowledgement | p. ix |
| 1 Introduction | p. 1 |
| 1.1 AM Digital Halftoning | p. 3 |
| 1.1.1 Screen Frequency | p. 5 |
| 1.1.2 Dot Shape | p. 6 |
| 1.1.3 Screen Angle | p. 6 |
| 1.2 FM Digital Halftoning | p. 10 |
| 1.3 AM-FM Hybrids | p. 14 |
| 1.3.1 Why Modern Digital Halftoning? | p. 16 |
| 2 Halftone Statistics | p. 27 |
| 2.1 Point Processes | p. 27 |
| 2.2 Spatial Statistics | p. 32 |
| 2.3 Spectral Statistics | p. 35 |
| 2.4 Halftone Visibility | p. 42 |
| 3 Blue-Noise Dithering | p. 47 |
| 3.1 Spatial and Spectral Characteristics | p. 47 |
| 3.1.1 Spatial Statistics | p. 49 |
| 3.1.2 Spectral Statistics | p. 50 |
| 3.2 Error Diffusion | p. 52 |
| 3.2.1 Eliminating Unwanted Textures | p. 53 |
| 3.2.2 Edge Enhancement | p. 89 |
| 3.3 Direct Binary Search | p. 95 |
| 4 Blue-Noise Masks | p. 103 |
| 4.1 BIPPSMA | p. 104 |
| 4.2 Simulated Annealing | p. 113 |
| 4.3 Void and Cluster | p. 130 |
| 5 Printers: Distortions and Models | p. 153 |
| 5.1 Printer Distortion | p. 153 |
| 5.1.1 Dot Gain | p. 154 |
| 5.1.2 Dot Loss | p. 158 |
| 5.2 Dot Models | p. 160 |
| 5.2.1 Physical Models | p. 162 |
| 5.2.2 Statistical Models | p. 177 |
| 5.3 Corrective Measures | p. 177 |
| 5.3.1 Tone Correction | p. 177 |
| 5.3.2 Model Based Halftoning | p. 181 |
| 5.3.3 Clustering | p. 182 |
| 6 Green-Noise Dithering | p. 191 |
| 6.1 Spatial and Spectral Characteristics | p. 191 |
| 6.1.1 Spatial Statistics | p. 198 |
| 6.1.2 Spectral Statistics | p. 200 |
| 6.2 EDODF | p. 201 |
| 6.2.1 Eliminating Unwanted Textures | p. 210 |
| 6.2.2 Edge Enhancement | p. 243 |
| 6.2.3 Adaptive Hysteresis | p. 269 |
| 7 Green-Noise Masks | p. 279 |
| 7.1 BIPPCCA | p. 280 |
| 7.1.1 Pattern Robustness Using BIPPCCA | p. 283 |
| 7.1.2 Constructing the Green-Noise Mask | p. 305 |
| 7.2 Optimal Green-Noise Masks | p. 316 |
| 8 Color Printing | p. 331 |
| 8.1 RGB, CMY and CMYK | p. 331 |
| 8.1.1 RGB | p. 332 |
| 8.1.2 CMY | p. 335 |
| 8.1.3 CMYK | p. 338 |
| 8.2 Statistics | p. 338 |
| 8.3 Generalized Error Diffusion | p. 339 |
| 8.4 Multi-channel Green-Noise Masks | p. 354 |
| 8.4.1 Color BIPPCCA | p. 372 |
| 9 Conclusions | p. 387 |
| Bibliography | p. 391 |
| List of Figures | p. 401 |
| Index | p. 428 |
