Marcel Dekker, 1992. — 415 p.
The theory of two-dimensional (2-D) digital filters has been a subject for study during the past two decades and has matured so that it now forms an important part of multidimensional digital signal processing. The objective of this book is to present basic theories, techniques, and procedures that can be used to analyze, design, and implement 2-D digital filters. Applications of 2-D digital filters in image and seismic data processing are also presented that demonstrate the importance of using 2-D filters in real-world signal processing.
The prerequisite knowledge is an undergraduate mathematics background of calculus, linear algebra and complex variables, and 1-D digital filters. Sufficient background information on 1-D digital filters can be found in the book Digital Filters: Analysis, Design, and Applications, Second Edition, by A. Antoniou.
Fundamentals.
State-Space Methods.
Transform Methods.
The Application of the z Transform.
Stability Analysis.
Approximations for Nonrecursive Filters.
Approximations for Recursive Filters.
Design of Recursive Filters by Optimization.
Design of Nonrecursive Filters by Optimization.
Realization.
Finite Wordlength Effects.
Implementation.
Applications.