This book focuses on stochastic halftoning algorithms and considers various approaches to digital monochrome and color halftoning, describing 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, and theoretical tools to analyze and design green-noise, blue-noise, and set designed masks. Includes a state-of-the-art CD-ROM of algorithms and statistics with crisp color examples, and an accompanying guide in pdf format with instructions to run software on MATLABr 5.0 for converting digital images to halftones Provides a comprehensive analysis of green-noise-a new stochastic halftoning model-and its desirability to the printing industry Containing over 450 photographs, equations, and drawings, Modern Digital Halftoning introduces metrics for the study of binary dither patterns and interpoint relationships describes the revolution ushered in with low-cost, high-resolution inkjet printers details common variations among printed dots under high magnification demonstrates how to predict tone results, minimizing distortion effects through compensation presents a new framework for clustering pixels of like color and regulating the overlapping of differently colored pixels discusses techniques for constructing color green- and blue-noise and monochrome masks develops new standards for halftone robustness and visibility and more Offering experienced researchers detailed descriptions of the latest industry trends, Modern Digital Halftoning is an exceptional reference for electrical, electronics, signal processing, mechanical, image filtering and processing, computer circuit and systems, digital design, and communication engineers, and a magnificent text for upper-level undergraduate and graduate students in these disciplines.