Signal Processing and Performance Analysis

Image enhancement is an increasingly crucial tool with a growing number of military, law enforcement, scientific, and commercial applications. This state-of-the-art book provides image analysts with today's most powerful image enhancing techniques together with methods for measuring system performance when each technique is applied. The book enables analysts get the most out of current imaging systems and make the best hardware/software decisions in developing the next-generation image acquisition and analysis capabilities their work demands. Practitioners will discover today's most advanced techniques for single image reconstruction, super-resolution image reconstruction, image deblur and restoration, and contrast enhancement. This well-illustrated book is supported with nearly 350 equations that save professionals time and effort working on their challenging projects.

Introduction-Combined Imaging System Performance
Imaging Performance
Signal Processing: Basic Principles and Advanced Applications
Image Resampling
Super-resolution Image Reconstruction
Deblur Filtering
Image Contrast Enhancement
Non-Uniformity Correction
Tone Scale
Image Fusion
Imaging Systems-The Basic Imaging System
Resolution and Sensitivity
Linear Shift Invariant Imaging Systems
Imaging System Point Spread Function (PSF) and Modulation Transfer Function (MTF)
Sampled Imaging System
Signal to Noise Ratio
Electro-Optical and Infrared Imaging Systems
Target Acquisition and Image Quality-Introduction
A Brief History of Target Acquisition Theory
Threshold Vision
Image Quality Metric
Example
Basic Principles of Signal and Image Processing-Introduction
The Fourier Transform
Finite Impulse Response (FIR) Filters
Fourier-based Filters
The Wavelet Transform
Summary
Advanced ApplicationsImage Resampling - Introduction
Image Display, Reconstruction, and Resampling
Sampling Theory and Sampling Artifacts
Image Resampling using Spatial Domain Methods
Alias-free Image Resampling using Fourier-based Methods
Image Resampling Performance Measurements
Super-Resolution Image Reconstruction-Introduction
Super-Resolution Image Restoration
Super-Resolution Image Reconstruction
Super-Resolution Image Performance Measurements
Sensors that Benefit from Super-Resolution Reconstruction
Performance Modeling and Prediction of Super-Resolution Reconstruction
Deblur Filtering-Introduction
Regularization Methods
Wiener Filter
Van Cittert Filter
CLEAN Algorithm
P-deblurring Filter
Deblur Filtering Image Performance Measurements
Image Contrast Enhancement-Introduction
Single Scale Process
Multiscale Processing
Contrast Enhancement Image Performance Measurements
Non-Uniformity Correction-Detector Non-Uniformity
Linear Correction and the Effects of Non-linearity
Adaptive Non-Uniformity Correction
Imaging System Performance with Fixed-Pattern Noise
Tone Scale-Introduction
Piece-Wise Linear Tone Scale
Non-linear Tone Scale
Perceptual Linearization Tone Scale
Application of Tone Scale to Enhanced Visualization in Radiation Treatment
Tone Scale Performance Example
Image Fusion- Introduction
Objectives for Image Fusion
Image Fusion Algorithms
Benefits of Multiple Image Modes
Image Fusion Quality Metrics
Imaging System Performance with Image Fusion
Table of Contents provided by Publisher. All Rights Reserved.

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Signal Processing and Performance Analysis for Imaging Systems

Summary

Table of Contents

Supplemental Materials