Color Image Haze Removal Algorithm Based on Luminance Feedback
HE Lin-yuan1,2, BI Du-yan2, XIONG Lei2, NAN Dong2, ZHOU Li2
1. Department of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China;
2. Institute of Aeronautics and Astronautics, Air Force Engineering University, Xi'an, Shaanxi 710038, China
Through the analysis of the current main of dehazing algorithms, we found that they adapted the divide and conquer strategy to process the luminance and chrominance components, therefore they separated their correlation.To resolve the problem, we performed a sort of method for enhancing and combining the image based on luminance feedback through the human visual characteristics.First, it adjusted the brightness information and lifted the edges and details of original image.Moreover, it regarded the results as constraint conditions which would be used in processing chromatic component for maintain their relevance.Experiments have demonstrated that the proposed method could obtain an excellent result and provide a good practicability and take less time.
何林远, 毕笃彦, 熊磊, 南栋, 周理. 基于亮度反馈的彩色雾霾图像增强算法[J]. 电子学报, 2015, 43(10): 1978-1983.
HE Lin-yuan, BI Du-yan, XIONG Lei, NAN Dong, ZHOU Li. Color Image Haze Removal Algorithm Based on Luminance Feedback. Chinese Journal of Electronics, 2015, 43(10): 1978-1983.
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2015, Vol. 43 
