时空自适应的分焦平面偏振视频 PCA 去噪

科研成果: 期刊稿件文章同行评审

3 引用 (Scopus)

摘要

Division of focal plane (DoFP) polarization imaging detector are composed of integrated micro-polarizer array on a focal plane array sensor, which make the DoFP polarimeters capture the polarization information real-time. However, it is difficult to perform the DoFP demosaicking and reconstruct the polarization information due to noise. A PCA-based spatial-temporal adaptive denoising method was presented to work directly on the DoFP videos. For each DoFP patch to be denoised, similar patches were selected within a local spatial-temporal neighborhood. The principal component analysis was performed on the selected patch to remove the noise. The spatial-temporal information of DoFP video was used to construct the sample patches. The proposed method worked directly on the DoFP video without explicit motion estimation. And then a fast bilateral filtering algorithm was used to remove the residual noise in different polarization channels of DoFP images. The experimental results on simulated and real noisy DoFP sequences demonstrate that the proposed denoising method can significantly reduce the noise-caused polarization artifacts and outperform other denoising methods.

投稿的翻译标题PCA-based spatial-temporal adaptive denoising of DoFP video for microgrid polarimeters
源语言繁体中文
文章编号1026001
期刊Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
48
10
DOI
出版状态已出版 - 25 10月 2019

关键词

  • Division of focal plane polarization imaging
  • Image processing
  • Principal component analysis
  • Video denoising

指纹

探究 '时空自适应的分焦平面偏振视频 PCA 去噪' 的科研主题。它们共同构成独一无二的指纹。

引用此