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| 论文题目： |
PCA-based denoising method for division of focal plane polarimeters |
| 第一作者： |
Zhang JC(张俊超);Luo HB(罗海波);Liang, Rongguang;Zhou, Wei;Hui B(惠斌);Chang Z(常铮) |
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| 发表刊物： |
Optics Express |
| 发表年度： |
2017 |
| 卷,期,页： |
25,3,2391-2400 |
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| 论文摘要： |
Division of focal plane (DoFP) polarimeters are composed of interlaced linear polarizers overlaid upon a focal plane array sensor. The interpolation is essential to reconstruct polarization information. However, current interpolation methods are based on the unrealistic assumption of noise-free images. Thus, it is advantageous to carry out denoising before interpolation. In this paper, we propose a principle component analysis (PCA) based denoising method, which works directly on DoFP images. Both simulated and real DoFP images are used to evaluate the denoising performance. Experimental results show that the proposed method can effectively suppress noise while preserving edges. |
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