Joint recovery method for low-extinction long-wave infrared focal plane polarimetric camera calibration

CN122243828APending Publication Date: 2026-06-19CHANGCHUN UNIV OF SCI & TECH

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner: CHANGCHUN UNIV OF SCI & TECH
Filing Date: 2026-05-22
Publication Date: 2026-06-19

AI Technical Summary

Technical Problem

Existing long-wave infrared focal plane polarization cameras suffer from severe noise amplification during matrix inversion under low extinction ratio conditions, leading to a decrease in polarization image quality, distortion of polarization features, and a lack of physical consistency in the recovery results.

Method used

By calibrating the extinction ratio and estimating the system equivalent analysis matrix, and combining the S0 total intensity component in the initial Stokes parameter recovery results to guide DOLP, a polarization physical constraint joint recovery model is constructed. Furthermore, polarization parameter consistency constraints are introduced to optimize the recovery process and suppress noise.

Benefits of technology

Under low extinction ratio conditions, it effectively suppresses noise caused by matrix inversion, improves the accuracy and physical consistency of polarization images, improves the random noise and edge fragmentation problems of DoLP images, and maintains the authenticity of image structure.

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Abstract

This application discloses a joint recovery method for calibration of a low extinction ratio long-wave infrared focal plane polarization camera, relating to the field of optical detection. The method includes: for the long-wave infrared focal plane polarization camera to be calibrated, performing extinction ratio calibration and estimating the system equivalent analysis matrix, thereby determining the initial Stokes parametric recovery result and the initial recovered polarization degree image; using the initial recovered polarization degree image as initial value, guiding the DOLP with the S0 total intensity component in the initial Stokes parametric recovery result to construct a polarization-physically constrained joint recovery model; the recovery requirement is either direct recovery in the DoLP domain or recovery not directly in the DoLP domain; based on the recovery requirement, using polarization-physically consistent constraints, solving the polarization-physically constrained joint recovery model to obtain the joint recovery result. This application can effectively suppress a large amount of noise caused by matrix inversion while restoring polarization accuracy.

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