Two-Dimensional Signal and Image Processing

✍ Scribed by Lim J.S.

• Publisher: PH
• Year: 1989
• Tongue: English
• Leaves: 715
• Category: Library

✦ Synopsis

New to P-H Signal Processing Series (Alan Oppenheim, Series Ed) this text covers the principles and applications of "multidimensional" and "image" digital signal processing. For Sr/grad level courses in image processing in EE departments.

✦ Table of Contents

COVER......Page 1
COPYRIGHT......Page 3
CONTENTS......Page 6
PREFACE......Page 10
INTRODUCTION......Page 12
1.0 Introduction......Page 18
1.1 Signals......Page 19
1.2 Systems......Page 29
1.3 The Fourier Transform......Page 39
1.4 Additional Properties of the Fourier Transform......Page 48
1.5 Digital Processing of Analog Signals......Page 62
References......Page 66
Problems......Page 67
2.1 The z-Transform......Page 82
2.2 Linear Constant Coefficient Difference Equations......Page 95
2.3 Stability......Page 119
References......Page 141
Problems......Page 143
3.1 The Discrete Fourier Series......Page 153
3.2 The Discrete Fourier Transform......Page 157
3.3 The Discrete Cosine Transform......Page 165
3.4 The Fast Fourier Transform......Page 180
References......Page 199
Problems......Page 202
4.0 Introduction......Page 212
4.1 Zero-Phase Filters......Page 213
4.2 Filter Specification......Page 216
4.3 Filter Design by the Window Method and the Frequency Sampling Method......Page 219
4.4 Filter Design by the Frequency Transformation Method......Page 235
4.5 Optimal Filter Design......Page 255
4.6 Implementation of FIR Filters......Page 262
References......Page 267
Problems......Page 269
5.0 Introduction......Page 281
5.1 The Design Problem......Page 282
5.2 Spatial Domain Design......Page 285
5.3 The Complex Cepstrum Representation of Signals......Page 309
5.4 Stabilization of an Unstable Filter......Page 321
5.5 Frequency Domain Design......Page 326
5.6 Implementation......Page 332
References......Page 347
Problems......Page 351
6.0 Introduction......Page 363
6.1 Random Processes......Page 364
6.2 Spectral Estimation Methods......Page 376
6.3 Performance Comparison......Page 401
6.4 Further Comments......Page 405
6.5 Application Example......Page 409
References......Page 414
Problems......Page 417
7.0 Introduction......Page 427
7.1 Light......Page 430
7.2 The Human Visual System......Page 440
7.3 Visual Phenomena......Page 446
7.4 Image Processing Systems......Page 454
References......Page 460
Problems......Page 463
8.0 Introduction......Page 472
8.1 Contrast and Dynamic Range Modification......Page 474
8.2 Noise Smoothing......Page 489
8.3 Edge Detection......Page 497
8.4 Image Interpolation and Motion Estimation......Page 516
8.5 False Color and Pseudocolor......Page 532
References......Page 533
Problems......Page 536
9.0 Introduction......Page 545
9.1 Degradation Estimation......Page 546
9.2 Reduction of Additive Random Noise......Page 548
9.3 Reduction of Image Blurring......Page 570
9.4 Reduction of Blurring and Additive Random Noise......Page 580
9.5 Reduction of Signal-Dependent Noise......Page 583
9.6 Temporal Filtering for Image Restoration......Page 589
9.7 Additional Comments......Page 596
References......Page 597
Problems......Page 601
10.0 Introduction......Page 610
10.1 Quantization......Page 612
10.2 Codeword Assignment......Page 633
10.3 Waveform Coding......Page 638
10.4 Transform Image Coding......Page 663
10.5 Image Model Coding......Page 677
10.6 Interframe Image Coding, Color Image Coding, and Channel Error Effects......Page 681
10.7 Additional Comments......Page -26
10.8 Concluding Remarks......Page 690
References......Page 691
Problems......Page 695
INDEX......Page 704

✦ Subjects

Информатика и вычислительная техника;Обработка медиа-данных;Обработка изображений;