BM3D Filtering Algorithm for DoFP Polarization Image Sensors

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

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

Abstract

In this paper, we present a Block Matching and 3D filtering (BM3D) algorithm dedicated to the division-of-focal-plane (DoFP) polarization image sensors. This method, based on grouping and a non-local filtering method named collaborative filtering, exploits all the different polarization channels simultaneously. Extensive experimental results on the test images show that the algorithm outperforms a wide range of existing denoising algorithms for DoFP images including the state-of-the-art principal component analysis (PCA) based denoising algorithm visually by preserving more details, as well as in terms of Peak-Signal-to-Noise-Ratio (PSNR).

Original languageEnglish
Title of host publication2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538668115
DOIs
Publication statusPublished - 31 Jan 2019
Event23rd IEEE International Conference on Digital Signal Processing, DSP 2018 - Shanghai, China
Duration: 19 Nov 201821 Nov 2018

Publication series

NameInternational Conference on Digital Signal Processing, DSP
Volume2018-November

Conference

Conference23rd IEEE International Conference on Digital Signal Processing, DSP 2018
CountryChina
CityShanghai
Period19/11/1821/11/18

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ASJC Scopus subject areas

  • Signal Processing

Cite this

Abubakar, A., Zhao, X., Takruri, M., Bastaki, E., & Bermak, A. (2019). BM3D Filtering Algorithm for DoFP Polarization Image Sensors. In 2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018 [8631582] (International Conference on Digital Signal Processing, DSP; Vol. 2018-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDSP.2018.8631582