Signal Processing and Performance Analysis for Imaging Systems

by Young, S. Susan; Driggers, Ronald G.; Jacobs, Eddie Lynn

• ISBN13: 9781596932876
• ISBN10: 1596932872
• Format: Hardcover
• Copyright: 2008-04-15
• Publisher: Artech House

Summary

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.

Table of Contents

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

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