Towards distortion-free imaging of the eye
Phillip Bedggood, Andrew Metha
PLOS ONE | PUBLIC LIBRARY SCIENCE | Published : 2021
The high power of the eye and optical components used to image it result in "static" distortion, remaining constant across acquired retinal images. In addition, raster-based systems sample points or lines of the image over time, suffering from "dynamic" distortion due to the constant motion of the eye. We recently described an algorithm which corrects for the latter problem but is entirely blind to the former. Here, we describe a new procedure termed "DIOS" (Dewarp Image by Oblique Shift) to remove static distortion of arbitrary type. Much like the dynamic correction method, it relies on locating the same tissue in multiple frames acquired as the eye moves through different gaze positions. H..View full abstract
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Awarded by Australian Research Council
Work supported by Australian Research Council (https://www.arc.gov.au/), Discovery Project DP180103393 (PB, AM). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.