Education, Science, Technology, Innovation and Life
Open Access
Sign In
  1. Home
  2. Journals
  3. Advances in Computer, Signals and Systems
  4. Vol 8, Issue 6, 2024

A hybrid enhancement algorithm for polarised images based on a dark primary color prior

Download as PDF

DOI: 10.23977/acss.2024.080606 | Downloads: 30 | Views: 782

Author(s)

Qingze Zeng 1, Haotian Cao 1, Yunhe Xu 1

Affiliation(s)

1 School of Mechanical Engineering, Dalian Jiaotong University, Dalian, China

Corresponding Author

Qingze Zeng

ABSTRACT

As the further development of marine resources, the demand for underwater target detection has also increased. Conventional sonar detection cannot meet the high-precision visible light detection requirements. There are abundant impurity particles in natural water bodies, and traditional visible light detection techniques are seriously affected by scattering, resulting in short detection distances and low image quality. This paper utilizes the high anti-interference capability of polarized light and employs a polarized light detection imaging system to detect turbid underwater targets. To address the issues of large dark areas, low contrast, and color distortion in underwater images, a hybrid enhancement algorithm based on a dark primary color prior is proposed. The factors affecting polarized imaging in water are analyzed, and an image quality evaluation system is established. An improved median filter with average polarization is introduced, and the dark primary color prior algorithm is improved by introducing a compensation value δ and a quantitative parameter k. The experimental images are evaluated using EME and NIQE, and the results show that the EME value of the processed images is increased by about 4 times, and the NIQE value is decreased by nearly 35%.

KEYWORDS

Underwater Polarization; Polarization Image

CITE THIS PAPER

Qingze Zeng, Haotian Cao, Yunhe Xu, A hybrid enhancement algorithm for polarised images based on a dark primary color prior. Advances in Computer, Signals and Systems (2024) Vol. 8: 35-39. DOI: http://dx.doi.org/10.23977/acss.2024.080606.

REFERENCES

[1] H. Hu, L. Zhao, B. Huang, X. Li, H. Wang, and T. Liu, "Enhancing Visibility of Polarimetric Underwater Image by Transmittance Correction," IEEE Photonics J, vol. 9, no. 3, Jun. 2017, doi: 10.1109/JPHOT.2017.2698000. 
[2] T. Treibitz and Y. Y. Schechner, "Active polarization descattering," IEEE Trans Pattern Anal Mach Intell, vol. 31, no. 3, pp. 385–399, 2009, doi: 10.1109/TPAMI.2008.85.
[3] T. Yu, X. Wang, S. Xi, Q. Mu, and Z. Zhu, "Underwater polarization imaging for visibility enhancement of moving targets in turbid environments," Opt Express, vol. 31, no. 1, p. 459, Jan. 2023, doi: 10.1364/oe.477243.
[4] F. Liu et al., "Deeply seeing through highly turbid water by active polarization imaging," Opt Lett, vol. 43, no. 20, p. 4903, Oct. 2018, doi: 10.1364/ol.43.004903. 
[5] Ronghua Li et al. Multi-Indicator reconstruction for underwater polarized image dehazing method, Optics and Lasers in Engineering, Volume 181,2024,108333,ISSN 0143-8166,https://doi.org/10.1016/j.optlaseng.2024.108333.

Subscription
E-Mail Alert
Most popular papers
Call for Special Issue
Publication Ethics & OA Statement
Plagiarism Policy
Contact Us
Downloads: 38553
Visits: 697953

Sponsors, Associates, and Links

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.