Modern Digital Halftoning / Edition 2

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Overview

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. An accompanying CD-ROM contains 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.

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Editorial Reviews

Booknews
This book/CD-ROM package offers a broad review of digital halftoning. It develops new standards for halftone robustness as well as visibility, and examines a new stochastic halftoning model, green- noise, and its desirable attributes in printing. Introduces several metrics for the study of binary patterns, presenting both the ideal spatial and ideal spectral characteristics of green-noise. Examines techniques for producing green-noise and studies them in terms of their visual pleasantness and the computational complexity. Also looks at the application of green-noise to color halftoning environments. Includes color and b&w photos. The CD-ROM contains algorithms and statistics with color examples, and a guide to running software on MATLAB for converting digital images to halftones. Lau is a DSP engineer and a member of the Society for Imaging Science and Technology. Arce is professor and chair for the Department of Electrical and Computer Engineering at the University of Delaware. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9781420047530
  • Publisher: Taylor & Francis
  • Publication date: 4/4/2008
  • Series: Signal Processing and Communications Series
  • Edition description: REV
  • Edition number: 2
  • Pages: 664
  • Product dimensions: 7.10 (w) x 10.10 (h) x 1.50 (d)

Table of Contents

Introduction
AM Digital Halftoning
FM Digital Halftoning
AM-FM Hybrids
AM Halftoning
Dot Shape
Screen Angles and Moiré
Screen Frequency
Supercells
Zero-Angle Dither Arrays
Stochastic Halftone Analysis
Point Processes
Spatial Statistics
Spectral Statistics
Color Halftoning
Halftone Visibility
Campbell’s CSF Model
Näsänen (Exponential) Model
Mixed Gaussian Models
Alpha Stable HVS Models
Blue-Noise Dithering
Spatial and Spectral Characteristics
Error Diffusion
Blue-Noise Dither Arrays
Simulated Annealing
Void and Cluster
BIPPSMA
Dither Pattern Ordering
Direct Binary Search
Halftoning by DBS
Efficient Implementation of DBS
Effect of HVS model
Hexagonal Grid Halftoning
Spectral Aliasing
Modified Blue-Noise Model
Hexagonal Sampling Grids
Printers: Distortions and Models
Printer Distortion
Dot Models
Corrective Measures
Green-Noise Dithering
Spatial and Spectral Characteristics
EDODF
Green-Noise Masks
BIPPCCA
Optimal Green-Noise Masks
Color Printing
Generalized Error Diffusion
Multichannel Green-Noise Masks
Stochastic Moiré
Spatial Analysis of Periodic Moiré
Spatial Analysis of Aperiodic Moiré
Spectral Analysis of Aperiodic Moiré
Minimizing Stochastic Moiré
Stochastic Moiré and Green-Noise
Multitone Dithering
Spectral Statistics of Multitones
Multitone Blue-Noise Model
Blue-Noise Multitoning
Optimization
Lenticular Halftoning
Model Based Error Diffusion
Iterative Tone Correction
Conclusions
Bibliography
List of Figures
Index

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