Open AccessReconstruction of distorted underwater images using robust registration
Author(s) -
Zhen Zhang,
Yang Xu
Publication year - 2019
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.009996
Subject(s) - deconvolution , computer science , computer vision , blind deconvolution , frame (networking) , artificial intelligence , reference frame , optics , image quality , underwater , image registration , iterative reconstruction , algorithm , image (mathematics) , geology , physics , telecommunications , oceanography
Imaging through a fluctuating air-water surface is a challenging task since light rays bent by unknown amounts lead to complex geometric distortions. This paper presents a new algorithm to undistort dynamic refractive effects. An iterative robust registration algorithm is employed to overcome the structural turbulence of the waves of the frames by registering each frame to a reference frame. To get the high-quality reference frame, the image is reconstructed by the patches selected from the sequence frames. A blind deconvolution algorithm is also performed to improve the reference frame. Experiments show our method exhibits significant improvement over other methods.