Real-time marine snow noise removal from underwater video sequences

Boguslaw Cyganek; Karol Gongola

doi:10.1117/1.JEI.27.4.043002

5 July 2018 Real-time marine snow noise removal from underwater video sequences

Boguslaw Cyganek, Karol Gongola

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 4, 043002 (July 2018). https://doi.org/10.1117/1.JEI.27.4.043002

Abstract

Underwater images suffer from various degradation factors, such as blur, haze, color degradation, and marine snow. Marine snow is a type of noise, caused mostly by biological particles that fall into the ocean bottom, and which impedes proper object detection in underwater vision. A method for real-time marine snow removal from underwater color and monochrome video is presented. It is based on the proposed marine snow model, spatiotemporal patch analysis, and three-dimensional median filtering. The method was evaluated on a number of real underwater sequences endowed with the hand-annotated ground-truth data which were made available from the Internet. As shown by the experiments, the method attains high accuracy and performs in real time.

Citation Download Citation

Boguslaw Cyganek and Karol Gongola "Real-time marine snow noise removal from underwater video sequences," Journal of Electronic Imaging 27(4), 043002 (5 July 2018). https://doi.org/10.1117/1.JEI.27.4.043002

Received: 7 March 2018; Accepted: 11 June 2018; Published: 5 July 2018

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