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16-11-2018 | Special Issue

Removal of rain video based on temporal intensity and chromatic constraint of raindrops

Authors: Jingfeng Zang, Guibin Ren, Jianning Dong, Yan Piao, Seio Jim

Published in: Evolutionary Intelligence | Issue 3/2019

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Abstract

An improved algorithm of frame time difference is proposed and applied to raindrops removal of video image.This paper analyzes the temporal intensity waveform and chromatic constraint properties of raindrops, and the method is optimized by these two properties. We make use of the difference between rain and non-rain moving objects in the pixels’ intensity changes, which realized a broad classification between the rain and non-rain moving object pixel. The candidate raindrops pixels are optimized in combination with the chromatic constraint property. The experimental results show that the proposed algorithm has a better effect of rainy day in video image restoration than Garg’s, and it is simple and effective. The algorithm has a strong applicability, and it can be further used for many applications, such as air pollution control, management, outdoor surveillance, remote sensing and intelligent vehicles.

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Title: Removal of rain video based on temporal intensity and chromatic constraint of raindrops
Authors: Jingfeng Zang
Guibin Ren
Jianning Dong
Yan Piao
Seio Jim
Publication date: 16-11-2018
Publisher: Springer Berlin Heidelberg
Published in: Evolutionary Intelligence / Issue 3/2019
Print ISSN: 1864-5909
Electronic ISSN: 1864-5917
DOI: https://doi.org/10.1007/s12065-018-0185-x

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