BM3D Filtering Algorithm for DoFP Polarization Image Sensors

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

doi:10.1109/ICDSP.2018.8631582

BM3D Filtering Algorithm for DoFP Polarization Image Sensors

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

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538668115
DOIs	https://doi.org/10.1109/ICDSP.2018.8631582
Publication status	Published - 2 Jul 2018
Externally published	Yes
Event	23rd IEEE International Conference on Digital Signal Processing, DSP 2018 - Shanghai, China Duration: 19 Nov 2018 → 21 Nov 2018

Publication series

Name	International Conference on Digital Signal Processing, DSP
Volume	2018-November

Conference

Conference	23rd IEEE International Conference on Digital Signal Processing, DSP 2018
Country/Territory	China
City	Shanghai
Period	19/11/18 → 21/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

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10.1109/ICDSP.2018.8631582

Cite this

Abubakar, A., Zhao, X., Takruri, M., Bastaki, E., & Bermak, A. (2018). BM3D Filtering Algorithm for DoFP Polarization Image Sensors. In 2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018 Article 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

@inproceedings{533c510feb2b4517a2fe1659a1b366ca,

title = "BM3D Filtering Algorithm for DoFP Polarization Image Sensors",

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).",

author = "Abubakar Abubakar and Xiaojin Zhao and Maen Takruri and Eesa Bastaki and Amine Bermak",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 23rd IEEE International Conference on Digital Signal Processing, DSP 2018 ; Conference date: 19-11-2018 Through 21-11-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/ICDSP.2018.8631582",

language = "English",

series = "International Conference on Digital Signal Processing, DSP",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018",

}

Abubakar, A, Zhao, X, Takruri, M, Bastaki, E & Bermak, A 2018, 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., 23rd IEEE International Conference on Digital Signal Processing, DSP 2018, Shanghai, China, 19/11/18. https://doi.org/10.1109/ICDSP.2018.8631582

BM3D Filtering Algorithm for DoFP Polarization Image Sensors. / Abubakar, Abubakar; Zhao, Xiaojin; Takruri, Maen et al.
2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8631582 (International Conference on Digital Signal Processing, DSP; Vol. 2018-November).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - BM3D Filtering Algorithm for DoFP Polarization Image Sensors

AU - Abubakar, Abubakar

AU - Zhao, Xiaojin

AU - Takruri, Maen

AU - Bastaki, Eesa

AU - Bermak, Amine

PY - 2018/7/2

Y1 - 2018/7/2

N2 - 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).

AB - 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).

UR - https://www.scopus.com/pages/publications/85062801528

U2 - 10.1109/ICDSP.2018.8631582

DO - 10.1109/ICDSP.2018.8631582

M3 - Conference Paper published in a book

AN - SCOPUS:85062801528

T3 - International Conference on Digital Signal Processing, DSP

BT - 2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 23rd IEEE International Conference on Digital Signal Processing, DSP 2018

Y2 - 19 November 2018 through 21 November 2018

ER -

BM3D Filtering Algorithm for DoFP Polarization Image Sensors

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