Underwater image color correction algorithm based on scattering statistical characteristics

Qichao Shi; Zongju Peng; Fen Chen; Fuhao Yang; Fangming Lan

doi:10.1117/12.2538878

18 November 2019 Underwater image color correction algorithm based on scattering statistical characteristics

Qichao Shi, Zongju Peng, Fen Chen, Fuhao Yang, Fangming Lan

Proceedings Volume 11187, Optoelectronic Imaging and Multimedia Technology VI; 111870N (2019) https://doi.org/10.1117/12.2538878
Event: SPIE/COS Photonics Asia, 2019, Hangzhou, China

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.

Citation Download Citation

Qichao Shi, Zongju Peng, Fen Chen, Fuhao Yang, and Fangming Lan "Underwater image color correction algorithm based on scattering statistical characteristics", Proc. SPIE 11187, Optoelectronic Imaging and Multimedia Technology VI, 111870N (18 November 2019); https://doi.org/10.1117/12.2538878

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KEYWORDS

Scattering

Light scattering

Image processing

Distortion

Image enhancement

Signal attenuation

Machine learning

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