ABSTRACT
Introduction Polarimetric imaging (PI) has been established as a key tool in several scientific areas such as remote sensing, material sciences, and biomedicine. In remote sensing, PI techniques enhance the quality of the recovered images and improve the detection of targets allowing an exhaustive analysis of the scene (Tyo et al. 2006). Polarization provides information about spatial features of a surface such as shape and texture. For that reason, PI techniques have been used in material sciences in order to segment rough surfaces (Terrier et al. 2008). In the field of biomedical imaging, PI has been applied to improve the visualization of samples at different penetration depths (Demos and Alfano 1997). Furthermore, PI has been used in in vivo techniques to detect and diagnose cancerous tumors in living tissues (Baba et al. 2002; Laude-Boulesteix et al. 2004). In addition, the flexibility of PI systems has allowed building optical coherence tomography systems (Nadkarni et al. 2007), adaptive ophthalmic optics (Song et al. 2008), and hyperspectral
Contents Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207 Polarimetric Cameras. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208 Single-Pixel Imaging and Compressive Sensing . . . . . . . . . . . . . . . . . . . . . . . 209 Single-Pixel Polarimetric Imaging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .211 Single-Pixel Spectropolarimetric Imaging. . . . . . . . . . . . . . . . . . . . . . . . . . . . .214
