@inproceedings{14f498a1c3244d7c8a1a58605155a1b3,
title = "A fast super-resolution algorithm with despeckling for multi-frame sonar images",
abstract = "To obtain a high-resolution sonar image from a set of shifted and decimated low-resolution sonar images, a fast super-resolution algorithm with despeckling is proposed in this paper. According to the sonar imaging model, low-resolution images can be viewed as speckled and downsampled versions of the high-resolution image. Based on L1 norm minimization, original high-resolution sonar image can be obtained by non-iterative data fusion. Then the high-resolution sonar image is despeckled in Curvelet domain to get the final high-resolution image. Without iterative operation, the proposed algorithm is fast. Final simulation results indicate that the proposed algorithm is superior to other super-resolution methods.",
keywords = "Curvelet, Despeckling, Fast super-resolution, High-resolution, Non-iterative data fusion, Sonar image",
author = "Guanying Huo and Qingwu Li and Xinnan Fan",
year = "2010",
doi = "10.1109/ICISE.2010.5691811",
language = "英语",
isbn = "9781424480968",
series = "2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings",
pages = "3412--3415",
booktitle = "2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings",
note = "2nd International Conference on Information Science and Engineering, ICISE2010 ; Conference date: 04-12-2010 Through 06-12-2010",
}