@inproceedings{080411180089400abf3abeebf6a0ca4f,
title = "Adaptive self-similarity based image super-resolution using non local means",
abstract = "Self-similarity based SR method on the LF-HF domain basically relies on the assumption that LF patch is highly correlated with HF patch. However, this assumption is content-specific significantly, and we can occasionally observe little correlation between LF and HF patch especially for texture region of natural images. In this paper we propose a new self-similarity based SR method to reflect this observation. There are two differences between the proposed and existing methods. First, HF details of target HR image are recovered by finding the similar patches on the MF domain in case of texture region. Second, the proposed method performs pixel-based reconstruction by adopting the concept of non-local means. Experimental results show that the proposed method can reconstruct more realistic image details.",
author = "Choi, {Ji Hoon} and Park, {Sae Jin} and Lee, {Dae Yeol} and Lim, {Sung Chang} and Choi, {Jin Soo} and Kim, {Jong Ok}",
note = "Publisher Copyright: {\textcopyright} 2014 Asia-Pacific Signal and Information Processing Ass.; 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 ; Conference date: 09-12-2014 Through 12-12-2014",
year = "2014",
month = feb,
day = "12",
doi = "10.1109/APSIPA.2014.7041605",
language = "English",
series = "2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014",
}