Motivation
Author Affiliations +
Abstract
Currently, humans live in a digitally connected community surrounded by exploding information from numerous multimedia sources. It seems as if everything is available through the internet. For example, search for a paper using Google, buy a book from Amazon, or download images and video collected from digital cameras. Even for the health community, there are many choices of imaging solutions, such as x-rays, ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI). For biometrics, fingerprint-, iris-, and face-recognition techniques are available. To execute surveillance, there are multispectral (including thermal) imaging systems for nighttime and electro-optical visual imaging for daytime. There appears to be significant data access to any form of imagery, so what is the need for image fusion and how does it enhance imagery? This chapter answers these questions with a look at four applications: face recognition, medical diagnosis, night-vision scene enhancement, and multifocus rendering.
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KEYWORDS
Image fusion

Image processing

Image segmentation

Magnetic resonance imaging

Facial recognition systems

Computed tomography

Thermography

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