This text is designed to provide a wide range of readers with a technical understanding of computer-based imaging systems and how these systems interact with digital image processing algorithms. It is written for scientists and engineers who need to understand the image-computation relationship. Many figures are included to promote conceptual understanding of various computation streams and relationships. Case studies illustrate practical applications.

From a strict semantic point of view, nonlinear image processing encompasses all image processing that is not based on linear operators; however, from a practical, evolutionary point of view, the name itself is usually associated with the study of nonlinear filters, mainly the deterministic and nondeterministic analysis and design of logic-based operators. This Tutorial Text volume explores logic-based operators with emphasis on representation, design, and statistical optimization of nonlinear filters.