多光谱图像
脱模
反向
计算机科学
极化(电化学)
反问题
人工智能
数学
计算机视觉
降噪
光学
全变差去噪
算法
图像处理
物理
图像(数学)
彩色图像
数学分析
几何学
物理化学
化学
作者
Kazuma Shinoda,Kota Yokoyama,Madoka Hasegawa
出处
期刊:Applied Optics
[Optica Publishing Group]
日期:2021-06-17
卷期号:60 (20): 5967-5967
被引量:2
摘要
We focus on a demosaicking method for recovering multispectral polarization images (MSPIs) from a single image captured by a multispectral polarization filter array (MSPFA). Since the image captured by the MSPFA can be represented by a linear model, an algorithm to solve the inverse problem can be designed to enable general-purpose demosaicking regardless of the transmission characteristics and patterns of the MSPFA. Thus, we propose a method for demosaicking MSPIs by solving an inverse problem that introduces the decorrelated vectorial total generalized variation (D-VTGV) and weighted tensor nuclear norm (WTNN) regularization functions. D-VTGV evaluates the edge-preserving property in the spatial direction while preserving the correlation between bands and polarization angles, while WTNN exploits the correlation and low-rank property in nonlocal regions of the image to perform proper texture restoration and denoising. The experimental results show that the proposed method can restore images well for both the ideal MSPFA and an MSPFA manufactured from photonic crystals.
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