Open AccessSynthetic imaging through wavy water surface with centroid evolution
Author(s) -
Ruiwen Zhang,
Danping He,
Yapeng Li,
Liang Huang,
Xiaohua Bao
Publication year - 2018
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.26.026009
Subject(s) - image warping , centroid , distortion (music) , optics , computer vision , computer science , artificial intelligence , image restoration , image processing , point spread function , optical flow , surface (topology) , image (mathematics) , physics , mathematics , telecommunications , geometry , bandwidth (computing) , amplifier
Imaging through a wavy water surface is a challenging task, as the wavy water surface introduces anisoplanatism effects difficult to model and track. A typical recovery method is usually involving multiple-stage processing on a pre-acquired image sequence. A new progressive restoration scheme is demonstrated, it can run simultaneously with image acquisition and mitigate both distortion and blur progressively. This method extends the anisotropic evolution in lucky region fusion with a novel progressive optical flow based de-warping scheme, centroid evolution. A comparison has been made with other state-of-art techniques, the proposed method can create comparable results, even with much less frames acquired. Experiments with real through-water scenes have also proved the effectiveness of the method.