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Image Fusion

Overview of attention for book
Cover of 'Image Fusion'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Image Sensors
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    Chapter 3 Common Representational Format
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    Chapter 4 Spatial Alignment
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    Chapter 5 Semantic Equivalence
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    Chapter 6 Radiometric Calibration
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    Chapter 7 Pixel Fusion
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    Chapter 8 Multi-resolution Analysis
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    Chapter 9 Image Sub-space Techniques
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    Chapter 10 Ensemble Learning
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    Chapter 11 Re-sampling Methods
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    Chapter 12 Image Thresholding
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    Chapter 13 Image Key Points
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    Chapter 14 Image Similarity Measures
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    Chapter 15 Vignetting, White Balancing and Automatic Gain Control Effects
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    Chapter 16 Color Image Spaces
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    Chapter 17 Markov Random Fields
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    Chapter 18 Image Quality
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    Chapter 19 Pan-sharpening
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    Chapter 20 Ensemble Color Image Segmentation
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    Chapter 21 STAPLE: Simultaneous Truth and Performance Level Estimation
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    Chapter 22 Biometric Technologies
Attention for Chapter 21: STAPLE: Simultaneous Truth and Performance Level Estimation
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