@inproceedings{77e868f4a085431b85915001ff04abcc,
title = "Support vector machines based image interpolation correction scheme",
abstract = "A novel error correction scheme for image interpolation algorithms based on support vector machines (SVMs) is proposed. SVMs are trained with the interpolation error distribution of down-sampled interpolated image to estimate interpolation error of the source image. Interpolation correction is employed to the interpolated result of source image with SVMs regression to obtain more accuracy result image. Error correction results of linear, cubic and warped distance adaptive interpolation algorithms demonstrate the effectiveness of the scheme.",
keywords = "Error correction, Image interpolation, Support vector machines, Support vector regression",
author = "Liyong Ma and Jiachen Ma and Yi Shen",
year = "2006",
doi = "10.1007/11795131\_99",
language = "英语",
isbn = "3540362975",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "679--684",
booktitle = "Rough Sets and Knowledge Technology - First International Conference, RSKT 2006, Proceedings",
address = "德国",
note = "First International Conference on Rough Sets and Knowledge Technology, RSKT 2006 ; Conference date: 24-07-2006 Through 26-07-2006",
}