Underwater image dehazing and color correction algorithm based on scene depth estimation

Dianjun Sun; Yu Shi; Xia Hua; Yayuan Feng; Hanyu Hong

doi:10.1117/12.2538400

14 February 2020 Underwater image dehazing and color correction algorithm based on scene depth estimation

Dianjun Sun, Yu Shi, Xia Hua, Yayuan Feng, Hanyu Hong

Proceedings Volume 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 1143215 (2020) https://doi.org/10.1117/12.2538400
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

The problem of restoring images degraded by an underwater environment is challenging, in part because light traveling underwater suffers from two combined degradations, known as scattering and absorption, which leads to inaccurate transmittance estimation. In this work, we propose that underwater image dehazing and color correction algorithm based on scene depth estimation. Through scene depth estimation, we get accurate transmittance to achieve better dehazing effect. The experimental results show that our approach obtains good-quality images, with a visibility enhancement comparable or better than other recent methods. As for color recovery, We recovere among different images, regardless of the different water conditions. In this work we not only achieves the effect of underwater image dehazing, but also guarantees accuracy and timeliness of recovery results.

Citation Download Citation

Dianjun Sun, Yu Shi, Xia Hua, Yayuan Feng, and Hanyu Hong "Underwater image dehazing and color correction algorithm based on scene depth estimation", Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1143215 (14 February 2020); https://doi.org/10.1117/12.2538400

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