Digital Picture Processing is a technique-oriented book aiming to teach the more extensive treatments of digital pictures. The book discusses picture processing; the computer representation of pictures; and the mathematical preliminaries involved. The visual perception, the digitization and the different techniques on sampling, and different techniques on compression are also covered. The book also explains the enhancement techniques, such as sharpening and moothing; filtering techniques used in restoration; and the geometry and description of a picture. The text is recommended to students of electrical engineering and computer science, who intend to learn better techniques in picture processing through digital means. The book is also suitable as an advanced undergraduate or a graduate course in picture processing.
Preface Acknowledgments Chapter 1 Introduction 1.1 Picture Processing 1.2 Pictures and Their Computer Representation 1.3 A Guide to the Literature References Chapter 2 Mathematical Preliminaries 2.1 Linear Operations on Pictures 2.2 Discrete Picture Transforms 2.3 Random Variables 2.4 Random Fields References Chapter 3 Visual Perception 3.1 Brightness and Contrast 3.2 Acuity and Contour 3.3 Color 3.4 Pattern and Texture 3.5 Shape and Space 3.6 Duration and Motion 3.7 Detection and Recognition References Chapter 4 Digitization 4.1 Sampling Using an Array of Points 4.2 Sampling Using Orthonormal Functions 4.3 Quantization of Picture Samples 4.4 Bibliographical Notes References Chapter 5 Compression 5.1 Transform Compression 5.2 Predictive Compression 5.3 More on Compression Techniques 5.4 The Rate Distortion Function 5.5 Bibliographical Notes References Chapter 6 Enhancement 6.1 Quality 6.2 Gray Scale Modification 6.3 Geometric Correction 6.4 Sharpening 6.5 Smoothing 6.6 Bibliographical Notes References Chapter 7 Restoration 7.1 The A Priori Knowledge Required in Restoration 7.2 Inverse Filtering 7.3 Least Squares Filtering 7.4 Constrained Deconvolution 7.5 Recursive Filtering 7.6 Bibliographical Notes References Chapter 8 Segmentation 8.1 Thresholding 8.2 Edge Detection 8.3 Matching 8.4 Tracking 8.5 Bibliographical Notes References Chapter 9 Geometry 9.1 Adjacency and Connectedness 9.2 Size and Distance 9.3 Arcs and Curves 9.4 Directionality and Shape 9.5 Bibliographical Notes References Chapter 10 Description 10.1 Preprocessing and Normalization 10.2 Properties 10.
- No. of pages:
- © Academic Press 1976
- 1st January 1976
- Academic Press
- eBook ISBN:
The late Azriel Rosenfeld was a tenured research professor, a distinguished university professor, and the Founding Director of the Center for Automation Research at the University of Maryland in College Park, where he also held affiliate professorships in the departments of computer science, electrical engineering, and psychology. Dr. Rosenfeld was widely regarded as the leading researcher in the world in the field of computer image analysis. Over a period of nearly 40 years, he made fundamental and pioneering contributions to nearly every area of that field. He wrote the first textbook in the field, was founding editor of its first journal, and was co-chairman of its first international conference. He published over 30 books and over 600 book chapters and journal articles, and directed nearly 60 Ph.D. dissertations. Dr. Rosenfeld's research on digital image analysisspecifically on digital geometry and topology and the accurate measurement of statistical features of digital images in the 1960s and 1970sformed the foundation for a generation of industrial vision inspection systems that have found widespread applications from the automotive to the electronics industry. He was a Fellow of the IEEE and the Washington Academy of Sciences; a Founding Fellow of the AAAI, the ACM, and the IAPR. Among his numerous awards and honors are the IEEE's Emanuel Piore Award, its Third Millennium Medal, and its Distinguished Service Award for Lifetime Achievement in Computer Vision and Pattern Recognition.
University of Maryland, College Park, U.S.A.