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E-raamat: Modern Digital Halftoning

(University of Delaware, Newark, USA), (University of Kentucky, Lexington, USA)
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The late 1980s, revolutionary advances in digital halftoning enabled inkjet printers to achieve much higher image fidelity. The rapid rate of progress has resulted in numerous breakthroughs scattered throughout the literature, rendering old technologies obsolete and renewing the need for a centralized source on the current state of the art. Entirely revised and updated, Modern Digital Halftoning, Second Edition provides an integrated and up-to-date treatment of stochastic halftoning and digital printing.

Using full-color illustrations to enhance the text, this edition incorporates new topics as well as updated models, algorithms, and methods used to construct and improve the quality of green-noise, blue-noise, and multitone images. Following a review of various halftoning techniques, this edition now covers amplitude modulated dither arrays, adapting to human visual models, direct binary search, and handling stochastic moiré problems. It also presents a new chapter on lenticular printing, a means for printing color holographic images. Accompanying downloadable resources contain MATLAB® software files and illustrated examples employing algorithms, statistics, and other key concepts from the book.

Documenting the development of digital printing since the first edition, Modern Digital Halftoning, Second Edition offers a well-rounded and accurate perspective on the technological capabilities of digital printing and provides all the necessary tools for continuing research in the field.
Introduction
1(20)
AM Digital Halftoning
4(1)
FM Digital Halftoning
5(4)
AM-FM Hybrids
9(12)
Why Modern Digital Halftoning?
9(12)
AM Halftoning
21(18)
Dot Shape
21(2)
Screen Angles and Moire
23(8)
Screen Frequency
31(3)
Supercells
34(1)
Zero-Angle Dither Arrays
35(4)
Stochastic Halftone Analysis
39(24)
Point Processes
39(5)
Spatial Statistics
44(3)
Pair Correlation
44(2)
Directional Distribution Function
46(1)
Spectral Statistics
47(6)
Radially Averaged Power Spectral Density
49(3)
Anisotropy
52(1)
Color Halftoning
53(10)
RGB
53(6)
CMY
59(1)
CMYK
60(1)
Color Statistics
61(2)
Halftone Visibility
63(14)
Campbell's CSF Model
67(2)
Nasanen (Exponential) Model
69(1)
Mixed Gaussian Models
70(2)
Alpha-Stable HVS Models
72(5)
Blue-Noise Dithering
77(52)
Spatial and Spectral Characteristics
77(5)
Spatial Statistics
79(1)
Spectral Statistics
80(2)
Error-diffusion
82(47)
Eliminating Unwanted Textures
83(30)
Edge Enhancement
113(16)
Blue-Noise Dither Arrays
129(52)
Simulated Annealing
131(13)
Void-and-Cluster
144(6)
BIPPSMA
150(13)
Dither Pattern Ordering
163(18)
Direct Binary Search
181(28)
Halftoning by DBS
181(2)
Efficient DBS Algorithm
183(13)
Effect of HVS model
196(13)
Hexagonal Grid Halftoning
209(30)
Spectral Aliasing
211(12)
Modified Blue-Noise Model
223(3)
Hexagonal Sampling Grids
226(13)
Hexagonal Grid Dither Arrays
233(6)
Printers: Distortions and Models
239(44)
Printer Distortion
239(7)
Dot-Gain
240(4)
Dot-Loss
244(2)
Dot Models
246(27)
Physical Models
248(12)
Statistical Models
260(13)
Corrective Measures
273(10)
Tone Correction
273(1)
Mode-Based Halftoning
273(2)
Clustering
275(8)
Green-Noise Dithering
283(88)
Spatial and Spectral Characteristics
283(10)
Spatial Statistics
290(2)
Spectral Statistics
292(1)
EDODF
293(78)
Eliminating Unwanted Textures
302(33)
Edge Enhancement
335(28)
Adaptive Hysteresis
363(8)
Green-Noise Masks
371(52)
BIPPCCA
372(37)
Pattern Robustness Using BIPPCCA
375(29)
Constructing the Green-Noise Mask
404(5)
Optimal Green-Noise Masks
409(14)
Color Printing
423(48)
Generalized Error-diffusion
423(33)
Multi-Channel Green-Noise Masks
456(15)
Color BIPPCCA
457(14)
Stochastic Moire
471(44)
Spatial Analysis of Periodic Moire
474(5)
Spatial Analysis of Aperiodic Moire
479(6)
Spectral Analysis of Aperiodic Moire
485(16)
Minimizing Stochastic Moire
501(2)
Stochastic Moire and Green-Noise
503(12)
Multi-Tone Dithering
515(44)
Spectral Statistics of Multi-tones
517(4)
Multi-Tone Blue-Noise Model
521(4)
Blue-Noise Multi-Toning
525(10)
Blue-Noise Multi-Toning with Error-Diffusion
532(1)
Multi-Toning with DBS
532(3)
Optimization
535(24)
Lenticular Halftoning
559(26)
Model-Based Error-diffusion
562(6)
Iterative Tone Correction
568(17)
Single-Pass Tone Correction
572(3)
Correlated Columns
575(3)
Detecting Gamut Instabilities
578(7)
Conclusions
585(4)
Bibliography 589(13)
List of Figures 602(41)
Index 643
Daniel L. Lau, Gonzalo R. Arce