Abstract
This letter proposes an algorithm to generate pseudo-polarization images under situations with limited polarization image samples. The algorithm is inspired by the principle of polarimetric imaging with DoFP and utilizes a specially designed 2×2 pseudo-polarization filter to generate two sets of orthogonal pseudo-polarization images. Furthermore, the Gaussian filter layering and image gradient-based feature search method are employed for the simulated generation of polarization features for both specular and diffuse reflections. Experiment results indicate high correspondence between the generated pseudo-polarization and real polarization images. The method effectively simulates polarization images acquired by the DoFP polarimeter under different conditions.
| Original language | English |
|---|---|
| Pages (from-to) | 3030-3033 |
| Number of pages | 4 |
| Journal | IEEE Signal Processing Letters |
| Volume | 31 |
| DOIs | |
| Publication status | Published - 2024 |
Keywords
- Polarization imaging
- gradient estimation
- image filtering
- pseudo polarization
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