Image defogging algorithm based on multi-scale residual feature fusion
Image Processing|更新时间:2024-06-27
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Image defogging algorithm based on multi-scale residual feature fusion
“In the field of image dehazing technology, researchers have proposed a dehazing algorithm based on multi-scale residual feature fusion, which effectively improves image clarity, reduces background noise interference, and provides a new solution to the problem of image quality degradation in hazy weather.”
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 6, Pages: 822-832(2024)
作者机构:
1.西安工业大学 电子信息工程学院, 陕西 西安 710021
2.西安工业大学 光电工程学院, 陕西 西安 710021
3.西安工业大学 机电工程学院, 陕西 西安 710021
作者简介:
基金信息:
National Natural Science Foundation of China(No.62171360)(62171360);Scientific Research Program Funded by Shaanxi Science and Technology Department(2022GY-110);Xi'an Key Laboratory of Intelligent Weapons(2019220514SYS020CG042);2022 Shaanxi University Youth Innovation Team Project;Shandong Intelligent Transportation Key Laboratory(chou)
XIE Xindan, LI Xiaoyan, WANG Peng, et al. Image defogging algorithm based on multi-scale residual feature fusion[J]. Chinese journal of liquid crystals and displays, 2024, 39(6): 822-832.
DOI:
XIE Xindan, LI Xiaoyan, WANG Peng, et al. Image defogging algorithm based on multi-scale residual feature fusion[J]. Chinese journal of liquid crystals and displays, 2024, 39(6): 822-832. DOI: 10.37188/CJLCD.2023-0129.
Image defogging algorithm based on multi-scale residual feature fusion