The growth in the use of sensor technology has led to the demand for image fusion‎:‎ signal processing techniques that can combine information received from different sensors into a single composite image in an efficient and reliable manner‎.‎ This book brings together classical and modern algorithms and design architectures‎,‎ demonstrating through applications how these can be implemented‎.‎ Image Fusion‎:‎ Algorithms and Applications provides a representative collection of the recent advances in research and development in the field of image fusion‎,‎ demonstrating both spatial domain and transform domain fusion methods including Bayesian methods‎,‎ statistical approaches‎,‎ ICA and wavelet domain techniques‎.‎ It also includes valuable material on image mosaics‎,‎ remote sensing applications and performance evaluation‎.‎ 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.‎