Image Fusion: Algorithms and Applications (Google eBook)
The application of sensor technology has brought considerable interest in the area of image fusion. Written by leading experts in the field, this book brings together in one volume the most recent algorithms, design techniques and applications in the topical field of image fusion.
The applications are drawn from military, medical and civilian areas and give practical advice and pointers to the development of future applications in a variety of fields.
This book will be an invaluable resource to R&D engineers, academic researchers and system developers requiring the most up-to-date and complete information on image fusion algorithms, design architectures and applications.
*Brings together the latest algorithms, design techniques and applications in the "hot" area of image fusion
*A large number of applications from military, medical and civilian fields give practical advice on how to develop future applications
*A CD-ROM containing color representation of the images
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Chapter 2 Image fusion through multiresolution oversampled decompositions
Chapter 3 Multisensor and multiresolution image fusion using the linear mixing model
Chapter 4 Image fusion schemes using ICA bases
Chapter 5 Statistical modelling for waveletdomain image fusion
Chapter 6 Theory and implementation of image fusion methods based on the á trous algorithm
Chapter 7 Bayesian methods for image fusion
Chapter 8 Multidimensional fusion by image mosaics
Chapter 12 Enhancement of multiple sensor images using joint image fusion and blind restoration
Chapter 13 Empirical mode decomposition for simultaneous image enhancement and fusion
Chapter 14 Regionbased multifocus image fusion
Chapter 15 Image fusion techniques for nondestructive testing and remote sensing applications
Chapter 16 Concepts of image fusion in remote sensing applications
Chapter 17 Pixellevel image fusion metrics
Chapter 18 Objectively adaptive image fusion
Chapter 19 Performance evaluation of image fusion techniques
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analysis applied approximation Bayesian blurring combination common degraded area components Computer Vision correlation corresponding data fusion data set defined denotes detector discrete wavelet transform distribution domain edge detection edge map enhanced Equation ERGAS estimation evaluation filter frame fused image fusion algorithms fusion performance fusion process fusion result fusion rules fusion scheme Gaussian global gradient ICA bases IEEE IEEE Transactions Ikonos image fusion image fusion methods Image Processing Information Fusion injection input images Kappa Coefficient kernel Laplacian linear lowpass LRM bands matrix measure metrics minimisation mosaicing multiresolution multiresolution analysis multispectral images noise objective obtained optimisation original image PAN image pan sharpened images panchromatic parameters pixel problem Proc proposed QuickBird reconstruction Remote Sensing resampled Robust samples scale scale ratio scene Section sensor shown in Figure Signal Processing source images spatial detail spatial resolution tion values variables vector visual wavelet transform