@inproceedings{d733d533e2de43d7b80300af0eb3a3b2,
title = "High frequency super-resolution for image enhancement",
abstract = "Bayesian based MF-SR (multi-frame superresolution) has been used as a popular and effective SR model. However, texture region is not reconstructed sufficiently because it works on the spatial domain. In this paper, we extend the MF-SR method to operate on the frequency domain for the improvement of HF information as much as possible. For this, we propose a spatially weighted bilateral total variation model as a regularization term for Bayesian estimation. Experimental results show that the proposed method can recover texture region with reduced noise, compared to conventional methods.",
keywords = "high frequency SR, image enhancement, multi-frame SR, spatially weighted bilateral total variance",
author = "Lee, {Oh Young} and Park, {Sae Jin} and Kim, {Jae Woo} and Kim, {Jong Ok}",
year = "2014",
doi = "10.1109/ISCE.2014.6884422",
language = "English",
isbn = "9781479945924",
series = "Proceedings of the International Symposium on Consumer Electronics, ISCE",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ISCE 2014 - 18th IEEE International Symposium on Consumer Electronics",
note = "18th IEEE International Symposium on Consumer Electronics, ISCE 2014 ; Conference date: 22-06-2014 Through 25-06-2014",
}