@inproceedings{3e1076ea35c84cf78b48be5b359bec8e,
title = "The influence of regularization parameter on error bound in super-resolution reconstruction",
abstract = "Regularization method is widely used to address the ill-conditioned problem of super-resolution (SR) reconstruction to improve its performance. The tradeoff between the fidelity of the data (due to small values of regularization parameter) and the smoothness of the SR result necessitates the choice of the regularization parameter to obtain the optimal solution. In this paper, the objective relative error is analyzed to explore the influence of the regularization parameter on SR reconstruction performance. With the optimal regularization parameter, we derive a relative error bound. The analysis is verified by experiment results.",
keywords = "Error bound, Regularization, Super-resolution",
author = "Minmin Shen and Ping Xue and Ci Wang",
year = "2008",
doi = "10.1007/978-3-540-89796-5\_55",
language = "英语",
isbn = "354089795X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "535--542",
booktitle = "Advances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings",
note = "9th Pacific Rim Conference on Multimedia, PCM 2008 ; Conference date: 09-12-2008 Through 13-12-2008",
}