Polarimetric Imaging

Date of Award


Degree Name

Ph.D. in Electrical and Computer Engineering


Department of Electrical and Computer Engineering


Keigo Hirakawa


Focal plane arrays in polarimetric imaging require demodulation of the spatially modulated analyzers in order to interpolate or recover the full frame analyzer images. These micro-polarizer array (MPA) sensors are intended for real time video use, and therefore are subject to noise due to short integration time. To address these limitations together would require a joint demosaicking and denoising algorithm. We first propose a demosaicking framework to improve existing demosaicking methods, and a division-of-time Stokes simplex polarimetric imaging denoising algorithm to individually address the issues. We then develop a joint demosaicking and denoising algorithm that combines the Stokes simplex analysis with the wavelet-based denoising. The experimental results prove superior reconstruction for the joint demosaicking and denoising algorithm when compared to state-of-the-art denoising and demosaicking algorithms applied separately to the MPA.


Electrical Engineering, Polarimetric Imaging, Demosaicking, Denoising

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