Image interpolation for division of focal plane polarimeters with intensity correlation
TLDR
A new interpolation method for DoFP polarimeters is presented by using intensity correlation to detect edges and then implement interpolation along edges, which can achieve better visual effects and a lower RMSE than other methods.Abstract:
Division of focal plane (DoFP) polarimeters operate by integrating micro-polarizer elements with a focal plane. These polarization imaging sensors reduce spatial resolution output and each pixel has a varying instantaneous field of view (IFoV). These drawbacks can be mitigated by applying proper interpolation methods. In this paper, we present a new interpolation method for DoFP polarimeters by using intensity correlation. We employ the correlation of intensity measurements in different orientations to detect edges and then implement interpolation along edges. The performance of the proposed method is compared with several previous methods by using root mean square error (RMSE) comparison and visual comparison. Experimental results showed that our proposed method can achieve better visual effects and a lower RMSE than other methods.read more
Citations
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Journal ArticleDOI
Survey of Demosaicking Methods for Polarization Filter Array Images.
TL;DR: Object and subjective analysis show that the pseudo panchromatic image difference method provides the best results and can be used as benchmark for PFA demosaicking and extend some demosaicks methods from CFA/SFA to PFA, and compare them with those that are PFA-oriented.
Journal ArticleDOI
Residual interpolation for division of focal plane polarization image sensors.
TL;DR: The results validate that the proposed algorithm using residual interpolation can give state-of-the-art performance over several previously published interpolation methods, namely bilinear, bicubic, spline and gradient-based interpolation.
Journal ArticleDOI
Demosaicking DoFP images using Newton’s polynomial interpolation and polarization difference model
TL;DR: Experiments demonstrate that the proposed interpolation method outperforms the state-of-the-art techniques quantitatively as well as visually to reduce nonconformities caused by high-frequency energy.
Journal ArticleDOI
Learning a convolutional demosaicing network for microgrid polarimeter imagery.
TL;DR: Experimental results show that the proposed convolutional neural network to address the image demosaicing issue outperforms other state-of-the-art methods by a large margin in terms of quantitative measures and visual quality.
Journal ArticleDOI
PCA-based denoising method for division of focal plane polarimeters
TL;DR: Experimental results show that the proposed principle component analysis (PCA) based denoising method, which works directly on DoFP images, can effectively suppress noise while preserving edges.
References
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Yoav Y. Schechner,N. Karpel +1 more
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Journal ArticleDOI
Bilinear and bicubic interpolation methods for division of focal plane polarimeters.
Shengkui Gao,Viktor Gruev +1 more
TL;DR: This paper presents bilinear and bicubic interpolation methods tailored for the division of focal plane polarization imaging sensor targeting a 1-Mega pixel polarization Imaging sensor operating in the visible spectrum.
Journal ArticleDOI
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