文章摘要
ZHANG Zhizheng(张之政)* ** ***,GUO Mingqiang* ** ***,WU Liang ** ***,HUANG Ying ****,CHEN Xueye*.[J].高技术通讯(英文),2023,29(2):174~180
Paired regions for shadow removal approach based on multi features
  
DOI:10. 3772/ j. issn. 1006-6748. 2023. 02. 008
中文关键词: 
英文关键词: paired region, feature distance, texture, peak signal-to-noise ratio (PSNR), structural similarity (SSIM)
基金项目:
Author NameAffiliation
ZHANG Zhizheng(张之政)* ** *** (*Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources,Shenzhen 518034,P.R.China) (**National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan 430074, P.R.China) (***School of Computer Science, China University of Geosciences, Wuhan 430074, P.R.China) (****Wuhan Zondy Cyber Technology Co., Ltd., Wuhan 430074, P.R.China) 
GUO Mingqiang* ** *** (*Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources,Shenzhen 518034,P.R.China) (**National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan 430074, P.R.China) (***School of Computer Science, China University of Geosciences, Wuhan 430074, P.R.China) (****Wuhan Zondy Cyber Technology Co., Ltd., Wuhan 430074, P.R.China) 
WU Liang ** *** (*Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources,Shenzhen 518034,P.R.China) (**National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan 430074, P.R.China) (***School of Computer Science, China University of Geosciences, Wuhan 430074, P.R.China) (****Wuhan Zondy Cyber Technology Co., Ltd., Wuhan 430074, P.R.China) 
HUANG Ying **** (*Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources,Shenzhen 518034,P.R.China) (**National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan 430074, P.R.China) (***School of Computer Science, China University of Geosciences, Wuhan 430074, P.R.China) (****Wuhan Zondy Cyber Technology Co., Ltd., Wuhan 430074, P.R.China) 
CHEN Xueye* (*Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources,Shenzhen 518034,P.R.China) (**National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan 430074, P.R.China) (***School of Computer Science, China University of Geosciences, Wuhan 430074, P.R.China) (****Wuhan Zondy Cyber Technology Co., Ltd., Wuhan 430074, P.R.China) 
Hits: 508
Download times: 1461
中文摘要:
      
英文摘要:
      The existence of shadow leads to the degradation of the image qualities and the defect of ground object information.Shadow removal is therefore an essential research topic in image processing filed.The biggest challenge of shadow removal is how to restore the content of shadow areas correctly while removing the shadow in the image.Paired regions for shadow removal approach based on multi features is proposed, in which shadow removal is only performed on related sunlit areas.Feature distance between regions is calculated to find the optimal paired regions with considering of multi features (texture, gradient feature, etc.) comprehensively.Images in different scenes with peak signal to noise ratio (PSNR) and structural similarity (SSIM) evaluation indexes are chosen for experiments.The results are shown with six existing comparison methods by visual and quantitative assessments, which verified that the proposed method shows excellent shadow removal effect, the brightness, color of the removed shadow area, and the surrounding non shadow area can be naturally fused.
View Full Text   View/Add Comment  Download reader
Close

分享按钮