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Spie Press Book

Introduction to Real-Time Imaging
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Book Details

Date Published: 1 December 1994
Pages: 198
Volume: TT19

Table of Contents
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Preface
1. What is Real-Time Processing?
1.1 Characteristics of Real-Time Systems
1.2 Scheduling Issues
1.3 Real-Time Design Issues
1.4 What is Real-Time Image Processing?
2 Basic Hardware Architecture
2.1 von Neumann Architecture
2.2 Architecture Classification System
2.3 SISD Processors
2.4 MISD Processors
2.5 SIMD Processors
2.6 MIMD Processors
3. Linear Image Processing Algorithms
3.1 Convolution
3.2 Linear Noise Suppression
3.3 Linear Edge Detection
3.4 Linear Matched Filtering
3.5 Convolution Algorithm
4. Compression by Matrix Transforms
4.1 Hadamard Transform
4.2 Discrete Fourier Transform
4.3 Discrete Cosine Transform
4.4 Quadtree Compression
5. Nonlinear Image Processing Algorithms
5.1 Boolean Functions
5.2 Increasing Boolean Functions
5.3 Nonlinear Noise Suppression Using Increasing Binary Filters
5.4 Noise Suppression Using Nonincreasing Binary Filters
5.5 Matched Filtering Using Nonincreasing Binary Filters
5.6 Suppression of Noise by Gray-Scale Median
5.7 Threshold Decomposition
5.8 Nonlinear Edge Detection Via the Morphological Gradient
5.9 Fast Granulometric Filters
6. Parallel Architectures
6.1 Pipelining
6.2 Dataflow Systems
6.3 Systolic Array Processors
6.4 Wavefront Array Processors
6.5 Linear Array, Mesh, and Hypercube Processors
6.6 Associative Memory
7. Programming Languages
7.1 Parameter Passing Techniques
7.2 Recursion
7.3 Dynamic Memory Allocation
7.4 Typing
7.5 Exception Handling
7.6 Modularity
7.7 Object-Oriented Languages
7.8 Survey of Commonly Used Languages
8. Optimization Techniques
8.1 CPU Utilization Estimation
8.2 Execution Time Estimation
8.3 Basic Optimization Techniques
8.4 Combination Effects
8.5 Scaled Numbers
8.6 Look-up Tables
8.7 Imprecise Computation
8.8 Memory Optimization
Glossary
Bibliography
Index |

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