@inproceedings{dac3929969eb41b5b146839455f5ad6d,
title = "Depth image super-resolution using multi-dictionary sparse representation",
abstract = "In this paper, we propose a new depth super-resolution technique based on multiple dictionary learning. A novel dictionary selection method using basis pursuit is proposed to generate multiple dictionaries adaptively. A sparse representation of each low-resolution input patch is derived based on the learned dictionaries, and then used to reconstruct the corresponding high-resolution patch. Experimental results are presented which show that the proposed multi-dictionary scheme outperforms existing depth super-resolution methods.",
keywords = "basis pursuit, depth super-resolution, dictionary selection, multiple dictionaries, sparse representation",
author = "H. Zheng and A. Bouzerdoum and Phung, \{S. L.\}",
year = "2013",
doi = "10.1109/ICIP.2013.6738198",
language = "English",
isbn = "9781479923410",
series = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",
publisher = "IEEE Computer Society",
pages = "957--961",
booktitle = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",
address = "United States",
note = "2013 20th IEEE International Conference on Image Processing, ICIP 2013 ; Conference date: 15-09-2013 Through 18-09-2013",
}