@inproceedings{ea96d684fe674c07a32f4a921a0cd989,
title = "An improved image distortion correction algorithm",
abstract = "In the optical measuring apparatus based on the TV camera, the image distortion usually occurs due to the defects of optical system design and manufacture or the distortion of the image sensor. For the common barrel distortion and pincushion distortion, this paper proposes an improved distortion correction algorithm based on the equivalent spherical surface, and processes the corrected image with bilinear interpolation, scaling and edge filling algorithm. This text uses actual images with barrel distortion and pincushion distortion to conduct an experiment which verifies that the proposed algorithm can not only efficiently correct the spherical distortion in the image, but also can ensure the integrity of its information and frame.",
keywords = "Correction, Distortion, Image processing",
author = "Lv, {S. T.} and Y. Ding and Wei, {H. L.}",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor & Francis Group, London.; International Conference on Multimedia, Communication and Computing Application, MCCA 2014 ; Conference date: 15-10-2014 Through 16-10-2014",
year = "2015",
doi = "10.1201/b18512-66",
language = "English",
isbn = "9781138027756",
series = "Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014",
publisher = "CRC Press/Balkema",
pages = "319--324",
editor = "Ally Leung",
booktitle = "Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014",
}