@inproceedings{6d22f8c31e8a4aa0ac7eddbca12eb435,
title = "Dynamic scene rain removal for moving cameras",
abstract = "Rain removal is important to ensure the robustness of applications which rely on video input towards rainy conditions. A number of algorithms have thus been proposed to remove the rain effect based on the properties of rain. However, most of these methods are not able to remove rain effectively for scenes taken from moving cameras. We propose a rain removal algorithm which can effectively remove rain from dynamic scenes taken from moving cameras by improving a recent state-of-the-art rain removal method. We do so by first aligning neighboring frames to a target frame before the target frame is de-rained. Experiments show that our proposed method is able to remove rain effectively for moving camera scenes.",
keywords = "Frame alignment, Rain removal",
author = "Tan, {Cheen Hau} and Jie Chen and Chau, {Lap Pui}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 19th International Conference on Digital Signal Processing, DSP 2014 ; Conference date: 20-08-2014 Through 23-08-2014",
year = "2014",
month = aug,
doi = "10.1109/ICDSP.2014.6900689",
language = "English",
series = "International Conference on Digital Signal Processing, DSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "372--376",
booktitle = "2014 19th International Conference on Digital Signal Processing, DSP 2014",
}