Beijing Institute of Technology Researchers Yield New Study Findings on Risk Management (Single image defogging via multi-exposure image fusion and detail enhancement): Insurance – Risk Management

2024 MAR 13 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Research findings on risk management are discussed in a new report. According to news originating from Beijing, People’s Republic of China, by NewsRx editors, the research stated, “Outdoor cameras play an important role in monitoring security and social governance.”

Our news reporters obtained a quote from the research from Beijing Institute of Technology: “As a common weather phenomenon, haze can easily affect the quality of camera shooting, resulting in loss and distortion of image details. This paper proposes an improved multi-exposure image fusion defogging technique based on the artificial multi-exposure image fusion (AMEF) algorithm. First, the foggy image is adaptively exposed, and the fused image is subsequently obtained via multiple exposures. The fusion weight is determined by the saturation, contrast, and brightness. Finally, the image fused by a multi-scale Laplacian algorithm is enhanced with simple adaptive details to obtain a clearer defogging image.”

According to the news editors, the research concluded: “It is subjectively and objectively verified that this algorithm can obtain more image details and distinct picture colors without a priori information, effectively improving the defogging ability.”

For more information on this research see: Single image defogging via multi-exposure image fusion and detail enhancement. Journal of Safety Science and Resilience, 2024,5(1):37-46. The publisher for Journal of Safety Science and Resilience is KeAi Communications Co., Ltd.

A free version of this journal article is available at https://doi.org/10.1016/j.jnlssr.2023.11.003.

Our news journalists report that more information may be obtained by contacting Wenjing Mao, School of Information and Electronics, Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, 100081, People’s Republic of China. Additional authors for this research include Dezhi Zheng, Minze Chen, Juqiang Chen.

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