@Inbook{MichaelTeutsch2022,
author="Michael Teutsch
and Angel Sappa
and Riad I. Hammoud",
chapter="Cross-Spectral Image Processing",
title="Computer Vision in the Infrared Spectrum. Synthesis Lectures on Computer Vision",
year="2022",
publisher="Springer",
pages="23--34",
abstract="Although this book is on IR computer vision and its main focus lies on IR image and video processing and analysis, a special attention is dedicated to cross-spectral image processing due to the increasing number of publications and applications in this domain. In these cross-spectral frameworks, IR information is used together with information from other spectral bands to tackle some specific problems by developing more robust solutions. Tasks considered for cross-spectral processing are for instance dehazing, segmentation, vegetation index estimation, or face recognition. This increasing number of applications is motivated by cross- and multi-spectral camera setups available already on the market like for example smartphones, remote sensing multispectral cameras, or multi-spectral cameras for automotive systems or drones. In this chapter, different cross-spectral image processing techniques will be reviewed together with possible applications. Initially, image registration approaches for the cross-spectral case are reviewed: the registration stage is the first image processing task, which is needed to align images acquired by different sensors within the same reference coordinate system. Then, recent cross-spectral image colorization approaches, which are intended to colorize infrared images for different applications are presented. Finally, the cross-spectral image enhancement problem is tackled by including guided super resolution techniques, image dehazing approaches, cross-spectral filtering and edge detection. Figure 3.1 illustrates cross-spectral image processing stages as well as their possible connections. Table 3.1 presents some of the available public cross-spectral datasets generally used as reference data to evaluate cross-spectral image registration, colorization, enhancement, or exploitation results.",
optnote="MSIAU; MACO",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3805), last updated on Tue, 25 Apr 2023 15:40:26 +0200",
isbn="978-3-031-00698-2",
doi="10.1007/978-3-031-01826-8_3"
}