@inproceedings{f2a7fc1c715d4f98a9303ad0115fce09,
title = "Multi-image deblurring using complement",
abstract = "The purpose of image restoration is to recover the latent image from the observed blurred images. In multi-image restoration, the input image{\textquoteright}s quality directly affects the final deblurring result. In this paper, a blurry images restoration method based on the complement is proposed for the selection of images in multi-image restoration. First, we give a description of complement between different images. Then, the blurred images of maximum complement are selected by image selection method which is based on the iterative maximum complement. Finally, we use an existing deblurring method to estimate the latent image. We compare the new method with traditional methods, the experimental results clearly demonstrate the efficacy of the proposed method.",
keywords = "Complement, Image deblurring, Multi-image deblurring",
author = "Pei Wang and Jinqiu Sun and Haisen Li and Xueling Chen and Yu Zhu and Yanning Zhang",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 7th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2017 ; Conference date: 22-09-2017 Through 23-09-2017",
year = "2017",
doi = "10.1007/978-3-319-67777-4_49",
language = "英语",
isbn = "9783319677767",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "549--558",
editor = "Yi Sun and Huchuan Lu and Lihe Zhang and Jian Yang and Hua Huang",
booktitle = "Intelligence Science and Big Data Engineering - 7th International Conference, IScIDE 2017, Proceedings",
}