Title :
An improved image defogging algorithm based on global dark channel prior and fuzzy logic control
Author :
Li Deng; Ou-Xun Li; Su-Wen Zhao
Author_Institution :
Guangxi Colleges and Universities Key Laboratory of Unmanned Aerial Vehicle (UAV) Telemetry (Guilin University of Aerospace Technology), 40015, China
Abstract :
To overcome the weakness of original dark channel prior algorithm on losing effectiveness in bright regions, an adaptive defogging algorithm was proposed. In this method, the fuzzy logic controller was adopted to automatically estimate the threshold of bright regions and the adjustment factor of transmission, and the misestimated transmission in bright regions was corrected using the adaptive threshold. Experiment results show that the presented method can effectively eliminate the distortion in bright regions, and the visibility of defogging image can be significantly enhanced.
Keywords :
"Distortion","Fuzzy logic","Input variables","Image color analysis","Atmospheric modeling","Image restoration","Mathematical model"
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2015 12th International Computer Conference on
DOI :
10.1109/ICCWAMTIP.2015.7493972