Denoising imaging polarimetry by adapted BM3D method
| Autor: | Nicholas W. Roberts, Ilse M. Daly, Alexander B. Tibbs, David Bull |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
FOS: Computer and information sciences
Computer science Machine vision Computer Vision and Pattern Recognition (cs.CV) Noise reduction Multispectral image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer Science - Computer Vision and Pattern Recognition Polarimetry 02 engineering and technology 01 natural sciences 010309 optics Optics 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Circular polarization Image fusion business.industry 020207 software engineering Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Light intensity Computer Science::Computer Vision and Pattern Recognition Degree of polarization Computer Vision and Pattern Recognition business |
| Zdroj: | Tibbs, A, Daly, I, Roberts, N & Bull, D 2018, ' Denoising imaging polarimetry by adapted BM3D method ', Journal of the Optical Society of America A, vol. 35, no. 4, pp. 690-701 . https://doi.org/10.1364/JOSAA.35.000690 |
| ISSN: | 1520-8532 |
| DOI: | 10.1364/JOSAA.35.000690 |
| Popis: | In addition to the visual information contained in intensity and color, imaging polarimetry allows visual information to be extracted from the polarization of light. However, a major challenge of imaging polarimetry is image degradation due to noise. This paper investigates the mitigation of noise through denoising algorithms and compares existing denoising algorithms with a new method, based on BM3D (Block Matching 3D). This algorithm, Polarization-BM3D (PBM3D), gives visual quality superior to the state of the art across all images and noise standard deviations tested. We show that denoising polarization images using PBM3D allows the degree of polarization to be more accurately calculated by comparing it with spectral polarimetry measurements. |
| Databáze: | OpenAIRE |
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