Compressive polar spectral and polarization imaging
| Author(s) | Fu, Chen | |
| Date Accessioned | 2018-11-16T12:19:34Z | |
| Date Available | 2018-11-16T12:19:34Z | |
| Publication Date | 2018 | |
| SWORD Update | 2018-09-11T13:26:41Z | |
| Abstract | Conventional digital imaging captures the desired image information directly on an imaging sensor. When high dimensional imaging capability is required such as spectral imaging and spectropolarimetric imaging, inecient sampling strategies are usually involved, such as scanning and division of the focal plane array, resulting in either poor real-time imaging capability or sensor resolution reduction. Compressive sensing solves these problems via sampling of the high-dimensional image cubes below the Nyquist sampling rate, and recovering the image signal with sparsity constraints. In this dissertation, a newly proposed compressive spectral imaging and a compressive spectropolarimetric imaging system are described. In particular, a novel polar-shaped pixelated coding mask is proposed, optimized and implemented in spinning imaging systems. Multi-snapshots are achieved through the coding mask rotation. By combin- ing with a circular variable lter and a low-resolution monochrome sensor array, super- resolution in both spatial and spectral dimensions is attained. Both the geometry and the pattern of binary polar coded aperture are further optimized. A continuous imager rotation model is developed and simulated to resolve the rotation blur. Finally, the imaging system is tested with experimental measurements and reconstructions. On the other hand, a compressive spectropolarimetric imager is developed based on a micro- polarizer array, aiming at obtaining spectral linear Stokes images. Simulation shows a blue-noise pattern of micro-polarizer distribution highly improves the polarization reconstruction quality. A rotating double-amici prism further enables multi-snapshots. Reconstructions of spectral Stokes images as well as the degree and angle of polarization (DoP and AoP) images are then obtained from testbed experiments. | en_US |
| Advisor | Arce, Gonzalo R. | |
| Degree | Ph.D. | |
| Department | University of Delaware, Department of Electrical and Computer Engineering | |
| DOI | https://doi.org/10.58088/svkx-dz84 | |
| Unique Identifier | 1066114126 | |
| URL | http://udspace.udel.edu/handle/19716/23907 | |
| Language | en | |
| Publisher | University of Delaware | en_US |
| URI | https://search.proquest.com/docview/2117257576?accountid=10457 | |
| Keywords | Applied sciences | en_US |
| Keywords | Compressive sensing | en_US |
| Keywords | Polar coded aperture | en_US |
| Keywords | Compressive spectropolarimetric imager | en_US |
| Title | Compressive polar spectral and polarization imaging | en_US |
| Type | Thesis | en_US |