Digital Image Processing Techniques

1st Edition

Authors: Michael Ekstrom
Hardcover ISBN: 9780122367601
eBook ISBN: 9780323140164
Imprint: Academic Press
Published Date: 3rd October 1984
Page Count: 372
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Description

Digital Image Processing Techniques is a state-of-the-art review of digital image processing techniques, with emphasis on the processing approaches and their associated algorithms. A canonical set of image processing problems that represent the class of functions typically required in most image processing applications is presented. Each chapter broadly addresses the problem being considered; the best techniques for this particular problem and how they work; their strengths and limitations; and how the techniques are actually implemented as well as their computational aspects.

Comprised of eight chapters, this volume begins with a discussion on processing techniques associated with the following tasks: image enhancement, restoration, detection and estimation, reconstruction, and analysis, along with image data compression and image spectral estimation. The second section describes hardware and software systems for digital image processing. Aspects of commercially available systems that combine both processing and display functions are considered, as are future prospects for their technological and architectural evolution. The specifics of system design trade-offs are explicitly presented in detail.

This book will be of interest to students, practitioners, and researchers in various disciplines including digital signal processing, computer science, statistical communications theory, control systems, and applied physics.

Table of Contents


Contributors


Preface


1. Image Enhancement


I. Introduction


II. Enhancement Techniques


III. Further Comments


IV. Bibliographic Notes


References


2. Image Restoration


I. Statement of the Problem


II. Direct Techniques of Image Restoration


III. Indirect Techniques of Image Restoration


IV. Identification of the Point Spread Function


V. Assessment of Techniques


VI. Bibliographical Notes


References


3. Image Detection and Estimation


I. Introduction


II. Detecting Known Objects


III. Detecting Random Objects


IV. Estimating Random Curves


V. Conclusions


VI. Bibliographical Notes


References


4. Image Reconstruction from Projections


I. Introduction


II. Computational Procedures for Image Reconstruction


III. The Theory of Filtered-Backprojection Algorithms


IV. The Theory of Algebraic Algorithms


V. Aliasing Artifacts


VI. Bibliographical Notes


References


5. Image Data Compression


I. Introduction


II. Spatial Domain Methods


III. Transform Coding


IV. Hybrid Coding and Vector DCPM


V. Interframe Coding


VI. Coding of Graphics


VII. Applications


VIII. Bibliography


References


6. Image Spectral Estimation


I. Introduction


II. Background


III. Techniques


IV. Summary


V. Bibliographical Notes


References


7. Image Analysis


I. Introduction


II. Image Segmentation


III. Region Description and Segmentation


IV. Biblio

Details

No. of pages:
372
Language:
English
Copyright:
© Academic Press 1984
Published:
Imprint:
Academic Press
eBook ISBN:
9780323140164
Hardcover ISBN:
9780122367601

About the Author

Michael Ekstrom

Affiliations and Expertise

Schlumberger-Doll Research