Open AccessDepth-based refocusing for reducing directional aliasing artifacts
Author(s) -
Ensun Lee,
Seohee H. Yang,
Miseon Han,
Jeong-Tae Kim
Publication year - 2016
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.028065
Subject(s) - aliasing , smoothing , computer science , computer vision , artificial intelligence , focus (optics) , depth of field , image (mathematics) , anti aliasing , filter (signal processing) , image restoration , image quality , image processing , optics , physics , audio signal processing , digital signal processing , computer hardware , audio signal
We investigate a depth-based refocusing method using four-dimensional (4D) light field data, which can reduce directional aliasing artifacts in a refocused image. Unlike conventional filtering-based methods, the proposed method estimates the amount of aliasing artifacts using the disparity information between two neighboring views. It then applies an exact smoothing operation to the refocused image in order to remove the aliasing artifacts. By doing that, the proposed method is able to generate a smoothly blurred image in the out-of-focus region and a sharp image in the focused region. In addition, as the proposed method performs a smoothing operation on the refocused image, it does not create virtual views, which often requires an extremely large amount of computational resources. In both simulation and experiment, the proposed method shows outstanding performance compared to conventional methods.