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Fog Removal of Aerial Image Based on Gamma Correction and Guided Filtering

Authors :
Changjiang Liu
Hengyou Lan
Xinggang Liu
Source :
Lecture Notes in Computer Science ISBN: 9783030544065, ICSM
Publication Year :
2020
Publisher :
Springer International Publishing, 2020.

Abstract

In order to improve the pilots’ perception of the runway and the surrounding things in foggy days and improve the visual effect of aerial images, a combination of Gamma correction and Retinex de-fogging algorithm is proposed for aerial foggy images. First of all, the original image is corrected by Gamma as the guided map, and the light intensity of the aerial image is estimated by the guided filter, and the preliminary fog removal image is obtained by Retinex. In combination with the histogram truncation technique, the output of the image is mapped to between 0 and 255, then a de-fogging enhanced image is achieved. Compared with other de-fogging algorithms, this algorithm has higher contrast and color consistency.

Details

ISBN :
978-3-030-54406-5
ISBNs :
9783030544065
Database :
OpenAIRE
Journal :
Lecture Notes in Computer Science ISBN: 9783030544065, ICSM
Accession number :
edsair.doi...........341b99bb8f12217ac34377c23f42c3ad
Full Text :
https://doi.org/10.1007/978-3-030-54407-2_40