Huang T.S. (ed.) Picture Processing and Digital Filtering

Springer, 1979. — 307 p.In every scientific and engineering endeavor, we encounter signal processing. Many signals are multi-dimensional, i.e., they are functions of several variables. Examples include medical and industrial radiographs, electron- micrographs, radar and sonar maps, seismic data, television images, and satellite (such as ERTS) photographs. The purpose of processing could be: signal generation and display, quality enhancement, information extraction, pattern recognition, efficient coding for transmission or storage, etc. Some of the useful and exciting applications of multi-dimensional signal processing are: character recognition, enhancement of satellite pictures of the moon and Mars, mapping of earth resources from ERTS photographs, and transaxial tomography.
Signal processing can be done either digitally or analogly. However, digital techniques are by far the more flexible. It is because of the rapid progress in digital technology that many multi-dimensional signal processing tasks have become feasible.
In the present book, we bring to the reader in-depth treatment of selected topics in the digital processing of two-dimensional signals (i.e., pictures or images): Chapters 2-4 are on two-dimensional transforms and filters, Chapter 5 is on image enhancement and restoration, and Chapter 6 is on the noise problem in digital signal processing hardware, especially scanners. These chapters are tutorial in nature, yet they bring the reader to the very forefront of current research. We envision that this book will be useful either as a reference book for working scientists and engineers or a supplemetary text book in courses on digital signal processing, image processing, and digital filtering.Two-Dimensional Transforms.
Two-Dimensional Nonrecursive Filters.
Two-Dimensional Recursive Filtering.
Image Enhancement and Restoration.
Noise Considerations in Digital Image Processing Hardware.
Recent Advances in Picture Processing and Digital Filtering.