Title: | Marine snow detection and removal: underwater image restoration using background modeling |
Authors: | Farhadifard, Fahimeh Radolko, Martin Freiherr von Lukas, Uwe |
Citation: | WSCG 2017: full papers proceedings: 25th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 81-89. |
Issue Date: | 2017 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2017/!!_CSRN-2701.pdf http://hdl.handle.net/11025/29548 |
ISBN: | 978-80-86943-44-2 |
ISSN: | 2464–4617 (print) 2464–4625 (CD-ROM) |
Keywords: | zpracování podmořských obrazů;mořský sníh;model pozadí;retušování |
Keywords in different language: | underwater image processing;marine snow;background model;inpainting |
Abstract: | It is a common problem that images captured underwater (UW) are corrupted by noise. This is due to the light absorption and scattering by the marine environment; therefore, the visibility distance is limited up to few meters. Despite blur, haze, low contrast, non-uniform lightening and color cast which occasionally are termed noise, additive noises, such as sensor noise, are the center of attention of denoising algorithms. However, visibility of UW scenes is distorted by another source termed marine snow. This signal not only distorts the scene visibility by its presence but also disturbs the performance of advanced image processing algorithms such as segmentation, classification or detection. In this article, we propose a new method that removes marine snow from successive frames of videos recorded UW. This method utilizes the characteristics of such a phenomenon and detects it in each frame. In the meanwhile, using a background modeling algorithm, a reference image is obtained. Employing this image as a training data, we learn some prior information of the scene and finally, using these priors together with an inpainting algorithm, marine snow is eliminated by restoring the scene behind the particles. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG 2017: Full Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Farhadifard.pdf | Plný text | 16,52 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29548
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