A Practical One-Shot Multispectral Imaging System Using a Single Image Sensor - 2015

PROJECT TITLE :

A Practical One-Shot Multispectral Imaging System Using a Single Image Sensor - 2015

ABSTRACT:

Single-sensor imaging using the Bayer color filter array (CFA) and demosaicking is well established for current compact and low-cost color digital cameras. An extension from the CFA to a multispectral filter array (MSFA) permits us to amass a multispectral image in one shot without increased size or value. But, multispectral demosaicking for the MSFA has been a difficult problem as a result of of terribly sparse sampling of each spectral band within the MSFA. During this paper, we have a tendency to propose a high-performance multispectral demosaicking algorithm, and at the identical time, a completely unique MSFA pattern that's appropriate for our proposed algorithm. Our key plan is the use of the guided filter to interpolate every spectral band. To come up with a good guide image, in our proposed MSFA pattern, we maintain the sampling density of the G-band as high because the Bayer CFA, and we array each spectral band thus that an adaptive kernel will be estimated directly from raw MSFA information. Given these two blessings, we tend to effectively generate the guide image from the most densely sampled G-band using the adaptive kernel. In the experiments, we demonstrate that our proposed algorithm with our proposed MSFA pattern outperforms existing algorithms and provides higher color fidelity compared with a standard color imaging system with the Bayer CFA. We also show some real applications using a multispectral camera prototype we have a tendency to engineered.

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