A Hybrid Denoising Algorithm for DoFP Polarization Image Sensors

Abubakar Abubakar, Xiaojin Zhao, Maen Takruri, Eessa Bastaki, Amine Bermak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728155326
DOIs
Publication statusPublished - Nov 2019
Event2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019 - Ras Al Khaimah, United Arab Emirates
Duration: 19 Nov 201921 Nov 2019

Publication series

Name2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019

Conference

Conference2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019
CountryUnited Arab Emirates
CityRas Al Khaimah
Period19/11/1921/11/19

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Keywords

  • Polarization image
  • collaborative filtering
  • division of focal plane
  • hybrid denoising
  • image denoising

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Computer Networks and Communications

Cite this

Abubakar, A., Zhao, X., Takruri, M., Bastaki, E., & Bermak, A. (2019). A Hybrid Denoising Algorithm for DoFP Polarization Image Sensors. In 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019 [8959597] (2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECTA48151.2019.8959597