Title :
Dynamic scene rain removal for moving cameras
Author :
Cheen-Hau Tan ; Jie Chen ; Lap-Pui Chau
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
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 :
image motion analysis; image segmentation; video signal processing; dynamic scene rain removal; dynamic scenes; moving cameras; video frames; Cameras; Computer vision; Conferences; Digital signal processing; Motion segmentation; Rain; Transforms; frame alignment; rain removal;
Conference_Titel :
Digital Signal Processing (DSP), 2014 19th International Conference on
Conference_Location :
Hong Kong
DOI :
10.1109/ICDSP.2014.6900689