Authors:
A. S. M. Shihavuddin
;
Nuno Gracias
and
Rafael Garcia
Affiliation:
Universitat de Girona, Spain
Keyword(s):
Sunflicker, Dynamic Texture, Illumination Field, Shallow Underwater Images.
Related
Ontology
Subjects/Areas/Topics:
Color and Texture Analyses
;
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Image Registration
Abstract:
An underwater vision system operating in shallow water faces unique challenges, which often degrade the quality of the acquired data. One of these challenges is the sunflicker effect, created from refracted sunlight casting fast moving patterns on the seafloor. Surprisingly few previous works exist to address this topic. The best performing available method mitigates the sunflickering effect using offline motion compensated filtering. In the present work, we propose an online sunflicker removal method targeted at producing better registration accuracy. The illumination field of the sunflicker effect is considered as a dynamic texture, since it produces repetitive dynamic patterns. With that assumption, the dynamic model of the sunflicker is learned from the registered illumination fields of the previous frames and is used for predicting that of the next coming frame. Such prediction allows for removing the sunflicker patterns from the new frame and successfully register it against pr
evious frames. Comparative results are presented using challenging test sequences which illustrate the better performance of the approach against the closest related method in the literature.
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