Written in an easy-to-follow approach, the text will help the
readers to understand the techniques and applications of image
fusion for remotely sensed multi-spectral images. It covers
important multi-resolution fusion concepts along with the
state-of-the-art methods including super resolution and multi stage
guided filters. It includes in depth analysis on degradation
estimation, Gabor Prior and Markov Random Field (MRF) Prior.
Concepts such as guided filter and difference of Gaussian are
discussed comprehensively. Novel techniques in multi-resolution
fusion by making use of regularization are explained in detail. It
also includes different quality assessment measures used in testing
the quality of fusion. Real-life applications and plenty of
multi-resolution images are provided in the text for enhanced
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