Abstract
Residual interpolations are effective methods to reduce the instantaneous field-of-view error of division of focal plane (DoFP) polarimeters. However, their guide-image selection strategies are improper, and do not consider the DoFP polarimeters’ spatial sampling modes. Thus, we propose a residual interpolation method with a new guide-image selection strategy based on the spatial layout of the pixeled polarizer array to improve the sampling rate of the guide image. The interpolation performance is also improved by the proposed pixel-by-pixel, adaptive iterative process and the weighted average fusion of the results of the minimized residual and minimized Laplacian energy guide filters. Visual and objective evaluations demonstrate the proposed method’s superiority to the existing state-of-the-art methods. The proposed method proves that considering the spatial layout of the pixeled polarizer array on the physical level is vital to improving the performance of interpolation methods for DoFP polarimeters.
Highlights
Process for Division of Focal PlanePolarization, amplitude, wavelength, and phase are the four most important physical characteristics of light
We considered the spatial layout of the pixeled polarizer array, and chose different channels as the guide image for the pixels in different spatial positions
We evaluated the demosaicing performance of the proposed PAIPRI through visual comparison using images collected by a real-world division of focal plane (DoFP) polarimeter
Summary
Process for Division of Focal PlanePolarization, amplitude, wavelength, and phase are the four most important physical characteristics of light. The increasingly mature nanomanufacturing technology and the urgent need to simultaneously detect polarization information promote the rapid development of miniaturized and compact division of focal plane (DoFP) polarimeters [12,13,14,15]. Companies such as FLIR [16], 4D Technology [17], and LUCID Vision Labs [18] have successively launched
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