Share Email Print

Proceedings Paper

Underwater image color correction algorithm based on scattering statistical characteristics
Author(s): Qichao Shi; Zongju Peng; Fen Chen; Fuhao Yang; Fangming Lan
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Different wavelengths of light have different attenuation during underwater transmission, and the attenuation of the same wavelength of light is also inconsistent in various waters. This loss of spectral information causes varying degrees of color distortion in underwater images. In this paper, a novel underwater color correction algorithm based on scattering statistics characteristics is proposed. The algorithm is based on a fact that scattering exists in both atmosphere and underwater. Firstly, we statistically analyze three kinds of images and summarize scattering characteristics. Secondly, a novel spectral compensation strategy is proposed to correct color distortion according to scattering characteristics. Finally, compared with the existing underwater image processing algorithms, there are better subjective and objective indicators. The algorithm is robust for a mass of real underwater images.

Paper Details

Date Published: 18 November 2019
PDF: 6 pages
Proc. SPIE 11187, Optoelectronic Imaging and Multimedia Technology VI, 111870N (18 November 2019); doi: 10.1117/12.2538878
Show Author Affiliations
Qichao Shi, Ningbo Univ. (China)
Zongju Peng, Ningbo Univ. (China)
Chongqing Univ. of Technology (China)
Fen Chen, Ningbo Univ. (China)
Chongqing Univ. of Technology (China)
Fuhao Yang, Ningbo Univ. (China)
Fangming Lan, Ningbo Univ. (China)

Published in SPIE Proceedings Vol. 11187:
Optoelectronic Imaging and Multimedia Technology VI
Qionghai Dai; Tsutomu Shimura; Zhenrong Zheng, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?