Modern digital halftoning / 2nd ed.
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作 者:Daniel L. Lau and Gonzalo R. Arce.
分类号:
ISBN:9781420047530
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简介
This book/CD-ROM set provides an integrated treatment of stochastic halftoning and digital printing. This second edition incorporates updated models, algorithms, and methods used to construct and improve the quality of green-noise, blue-noise, and multi-tone images. New topics covered include stochastic moir茅 in color printing, and a blue-noise model for multi-toning applications where the target printing device is capable of printing multiple shades of the same color ink. There is a new chapter on lenticular printing, a means for printing color holographic images. The art program features numerous b&w and a few color images. The CD-ROM contains MATLAB software files and illustrated examples employing algorithms, statistics, and other key concepts from the book. Annotation 漏2008 Book News, Inc., Portland, OR (booknews.com)
目录
1 Introduction 1
1.1 AM Digital Halftoning ....... ............. 4
1.2 FM Digital Halftoning ...................... 5
1.3 AM-FM Hybrids ...................... 9
1.3.1 Why Modern Digital Halftoning? ......... 9
2 AM Halftoning 21
2.1 Dot Shape.......... ..... ........... 21
2.2 Screen Angles and Moir6 . ................. 23
2.3 Screen Frequency ................... ... 31
2.4 Supercells ......... .. ............. 34
2.5 Zero-Angle Dither Arrays . ................ 35
3 Stochastic Halftone Analysis 39
3.1 Point Processes ................... .... 39
3.2 Spatial Statistics . .................. ... 44
3.2.1 Pair Correlation . ........... ....... 44
3.2.2 Directional Distribution Function . ........ 46
3.3 Spectral Statistics. ... .................. 47
3.3.1 Radially Averaged Power Spectral Density . . .. 49
3.3.2 Anisotropy. . .................. .. 52
3.4 Color Halftoning ................... ... 53
3.4.1 RGB .......... ...... ........ 53
3.4.2 CMY ..... . ..... .............. 59
3.4.3 CMYK .......... ............. 60
3.4.4 Color Statistics . .............. .. ... 61
4 Halftone Visibility 63
4.1 Campbell's CSF Model . .................. 67
4.2 Nisanen (Exponential) Model . .............. 69
4.3 Mixed Gaussian Models . ................. 70
4.4 Alpha-Stable HVS Models . ................ 72
5 Blue-Noise Dithering 77
5.1 Spatial and Spectral Characteristics . ........... 77
5.1.1 Spatial Statistics . ................. 79
5.1.2 Spectral Statistics. . ................. 80
5.2 Error-diffusion ................... ..... 82
5.2.1 Eliminating Unwanted Textures ..... ..... . 83
5.2.2 Edge Enhancement . ................ 113
6 Blue-Noise Dither Arrays 129
6.1 Simulated Annealing ............... ..... 131
6.2 Void-and-Cluster . .................. ... 144
6.3 BIPPSMA ............................ 150
6.4 Dither Pattern Ordering . ................. 163
7 Direct Binary Search 181
7.1 Halftoning by DBS ................... .. 181
7.2 Efficient DBS Algorithm . ................. 183
7.3 Effect of HVS model ................... . 196
8 Hexagonal Grid Halftoning 209
8.1 Spectral Aliasing . .................. ... 211
8.2 Modified Blue-Noise Model . ................ 223
8.3 Hexagonal Sampling Grids . ................ 226
8.3.1 Hexagonal Grid Dither Arrays . .......... 233
9 Printers: Distortions and Models 239
9.1 Printer Distortion ................... ... 239
9.1.1 Dot-Gain . .................. ... 240
9.1.2 Dot-Loss ........... ........ ..... 244
9.2 Dot Models ................... ...... 246
9.2.1 Physical Models . .................. 248
9.2.2 Statistical Models . ................. 260
9.3 Corrective Measures . ................... 273
9.3.1 Tone Correction . .................. 273
9.3.2 Mode-Based Halftoning ... ............ 273
9.3.3 Clustering ....... .. .. ........... 275
10 Green-Noise Dithering 283
10.1 Spatial and Spectral Characteristics . ........... 283
10.1.1 Spatial Statistics . ................. 290
10.1.2 Spectral Statistics . ................. 292
10.2 EDODF ....... ... ................ 293
10.2.1 Eliminating Unwanted Textures . ......... 302
10.2.2 Edge Enhancement ........... . . . . . . 335
10.2.3 Adaptive Hysteresis . ................ 363
11 Green-Noise Masks 371
11.1 BIPPCCA ....... .................. 372
11.1.1 Pattern Robustness Using BIPPCCA ....... 375
11.1.2 Constructing the Green-Noise Mask . ....... 404
11.2 Optimal Green-Noise Masks ................ 409
12 Color Printing 423
12.1 Generalized Error-diffusion . ................ 423
12.2 Multi-Channel Green-Noise Masks ............... 456
12.2.1 Color BIPPCCA .................. 457
13 Stochastic Moire 471
13.1 Spatial Analysis of Periodic Moir6 . ............ 474
13.2 Spatial Analysis of Aperiodic Moir6 ............ 479
13.3 Spectral Analysis of Aperiodic Moir6 ........... 485
13.4 Minimizing Stochastic Moir6 .. . . . ........... 501
13.5 Stochastic Moir6 and Green-Noise ........... . . 503
14 Multi-Tone Dithering 515
14.1 Spectral Statistics of Multi-tones . ............ 517
14.2 Multi-Tone Blue-Noise Model ............... 521
14.3 Blue-Noise Multi-Toning . ................. 525
14.3.1 Blue-Noise Multi-Toning with Error-Diffusion . . 532
14.3.2 Multi-Toning with DBS ........... .. 532
14.4 Optimization . .................. .... . 535
15 Lenticular Halftoning 559
15.1 Model-Based Error-diffusion . ............... 562
15.2 Iterative Tone Correction ..... .. ......... . . 568
15.2.1 Single-Pass Tone Correction . ........... 572
15.2.2 Correlated Columns ........... .. . . . 575
15.2.3 Detecting Gamut Instabilities ........... 578
16 Conclusions 585
Bibliography 589
Modern digital halftoning / 2nd ed.
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