@inproceedings{a56c34d369e5404eaa2d85e46f053cc4,
title = "A Hybrid Denoising Algorithm for DoFP Polarization Image Sensors",
abstract = "In this paper, we present a hybrid denoising algorithm for division-of-focal-plane (DoFP) polarization image sensors, which is based on Block-Matching and 3D Filtering (BM3D) and K-times Singular Value Decomposition (KSVD) denoising algorithms. The proposed algorithm employs the KSVD denoising algorithm to improve the 'First Estimate' image in BM3D algorithm, which dictates the second round of grouping. In addition to improving the second round of grouping, the proposed algorithm improves the final denoised image through proper matching of the two algorithms which also helps to preserve key image details. Extensive experimental results on DoFP images show that the proposed algorithm outperforms a vast selection of existing denoising algorithms for DoFP polarization images including the state-of-the-art BM3D denoising algorithm visually as well as numerically in terms of Peak-Signal-to-Noise-Ratio (PSNR) and Structural Similarity (SSIM) Index.",
keywords = "Polarization image, collaborative filtering, division of focal plane, hybrid denoising, image denoising",
author = "Abubakar Abubakar and Xiaojin Zhao and Maen Takruri and Eessa Bastaki and Amine Bermak",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019 ; Conference date: 19-11-2019 Through 21-11-2019",
year = "2019",
month = nov,
doi = "10.1109/ICECTA48151.2019.8959597",
language = "English",
series = "2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019",
address = "United States",
}