Digital Picture Processing: An IntroductionThe text has been prepared for researchers involved in picture processing. It is designed to help them in mastering the methods at the professional level. From the viewpoint of both signal theory and information theory, the treatment covers the basic principles of the digital methods for the processing of continuous signals such as picture signals. In addition, it reviews schemes for correcting signal distortion in imaging systems, for the enhancement of picture contrast, and for the automatic measurement of picture details. The text contains new results on digital filtering and transformation, and a new approach to picture processing. The main applications, as documented by numerous examples, are in space research, remote sensing, medical diag nostics, nondestructive testing. The material has been tested extensively in class-room use with students of both computer science and electrical engineering at the senior undergraduate and the first-year graduate level. The present edition is not a translation of the original Russian book, but it has been extended substantially as well as updated. The author is grate ful to Dr. H. Lotsch of Springer-Verlag for his proposal to prepare this text and for many helpful suggestions. He likes to thank Dr. P. Hawkes for a careful copy-editing of the manuscript, and acknowledges numerous criti cal comments by Professors S.L. Gorelik, T.S. Huang, A.W. Lohmann,and A.M. Trakhtman. |
Contents
| 1 | |
| 8 | |
8 | 23 |
Discretization and Quantization of Signals | 40 |
Discrete Representations of Linear Transforms | 75 |
Linear Transform Algorithms | 128 |
35 | 136 |
Digital Statistical Methods | 166 |
Correcting Imaging Systems | 186 |
Picture Enhancement and Preparation | 211 |
Measuring the Coordinates of Objects in Pictures | 241 |
Conclusion | 263 |
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Common terms and phrases
a(t₁ analogue ar,s basis functions binary calculation characteristics coefficients considered continuous signals convenient convolution coordinates correction corresponding defined described digital filter digital processing digital signal discrete Fourier transform discrete representation discrete signal distortion distribution domain error example f₂ fast algorithms frequency transfer function Gray code h₂ Haar functions Haar transform Hadamard Hadamard transform histogram IEEE imaging systems impulse response initial picture integer interpolation inverse Kronecker matrices L.P. Yaroslavsky linear filter linear transformations matrix methods modes multiplication N₁ N₂ noise number of operations number of samples object obtain one-dimensional orthogonal transforms parameters photograph picture elements picture processing processors Rademacher functions random raster recursive restoration result SDFT shift-invariant signal samples signal space spatial spectra statistical T₁ t₂ Table tion trans two-dimensional vector video signal values VN₁N₂ Walsh functions Walsh transform zero ας Σ Σ ак շո