脱模
偏振器
计算机科学
降噪
人工智能
计算机视觉
模式识别(心理学)
图像处理
光学
图像(数学)
物理
彩色图像
双折射
作者
Joseph Raffoul,Daniel A. LeMaster,Keigo Hirakawa
摘要
Snapshot polarimetry relies on the micro-polarizer array (MPA)—a spatial multiplexing of pixel-sized wiregrid analyzers. The limitation of MPA-based polarimetric imaging is the loss of spatial resolution and light received by each pixel. Reconstructing the degree and the angle of linear polarization (DoLP and AoLP, respectively) from MPA accurately requires the joint application of demosaicking (to demodulate the spatial modulation of the wiregrid analyzers) and denoising (to account for photon and thermal noise). We propose a wavelet-based Bayesian estimation technique for jointly demosaicking and denoising 2 × 2 MPA-sampled sensor data.
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