Performance Evaluation of Gaussian Noise Denoising Algorithms for DoFP Polarization Image Sensors

Abubakar Abubakar, Maen Takruri, Noora Al Naqbi, Hessa Al Shehhi, Wafaa Ba Hutair, Amine Bermak

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

Abstract

This paper compares the performance of the reported denoising algorithms for Division-of-Focal-Plane (DoFP) polarization image sensors. While the reported denoising algorithms each covered analysis on interpolated images in their respective publications, analysis was not extended to less sightseen parameters, namely Fully Polarized and Unpolarized images, which are other derivatives from Stokes parameters. In this paper, we focus our analysis and comparison on these images as they provide more details than Degree of Linear Polarization (DoLP). We use a Building test image to compare visually as well as analytically in terms of Peak-Signal-to-Noise-Ratio (PSNR) and Structural Similarity (SSIM) Index. Both Comparison results show the Block Matching and 3D (BM3D) filtering method ranking highest followed by the K-Times Singular Value Decomposition (K-SVD) method as a close second.

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

  • division of focal plane
  • image denoising
  • Polarization image

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., Takruri, M., Al Naqbi, N., Al Shehhi, H., Hutair, W. B., & Bermak, A. (2019). Performance Evaluation of Gaussian Noise Denoising Algorithms for DoFP Polarization Image Sensors. In 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019 [8959603] (2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECTA48151.2019.8959603