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.

Daniel L. Lau, Gonzalo R. Arce

Introduction. Dot shape. Stochastic halftone analysis. Halftone visibility. Blue-noise dithering. Blue-noise dither arrays. Direct binary search. Hexagonal grid halftoning. Printers: distortions and models. Green-noise dithering. Green-noise masks. Color printing. Stochastic moiré. Lenticular halftoning. Conclusions. Bibliography. List of figures. Index.