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Fog Removal of Aerial Image Based on Gamma Correction and Guided Filtering
- 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.
- Subjects :
- Color constancy
business.industry
Computer science
media_common.quotation_subject
020207 software engineering
02 engineering and technology
Filter (signal processing)
Image (mathematics)
Light intensity
Gamma correction
Histogram
0202 electrical engineering, electronic engineering, information engineering
Contrast (vision)
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Aerial image
media_common
Subjects
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