@inproceedings{75437aaa93a1453b9eadbb43a265007b,
title = "Single-image super-resolution via sparse coding regression",
abstract = "In this paper, it has been shown that the sparse coding algorithm for single-image super-resolution is equivalent to a linear regression algorithm in the sparse coding space. Following the idea, the sparse coding algorithm are generalized by a novel L2-Boosting-based single-resolution super-resolution algorithm which focuses on the relationship between sparse codings corresponding to the low- and high-resolution image patches. The experimental results demonstrate the effectiveness of the proposed algorithm by comparing with other state-of-the- art algorithms.",
keywords = "Greedy regression, Sparse coding, Super-resolution",
author = "Yi Tang and Yuan Yuan and Pingkun Yan and Xuelong Li",
year = "2011",
doi = "10.1109/ICIG.2011.63",
language = "英语",
isbn = "9780769545417",
series = "Proceedings - 6th International Conference on Image and Graphics, ICIG 2011",
publisher = "IEEE Computer Society",
pages = "267--272",
booktitle = "Proceedings - 6th International Conference on Image and Graphics, ICIG 2011",
}