Curricular contrastive regularization for physics-aware single image dehazing

Curricular contrastive regularization for physics-aware single image dehazing

Considering the ill-posed nature, contrastive regularization has been developed for single image dehazing, introducing the information from negative images as a lower bound. However, the contrastive samples are non-consensual, as the negatives are usually represented distantly from the clear (i.e.,...

Full description

Saved in:
Bibliographic Details
Main Authors: ZHENG, Yu, ZHAN, Jiahui, HE, Shengfeng, DU, Yong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
Low-level vision
Computer vision
Codes
Atmospheric modeling
Computational modeling
Scattering
Pattern recognition
Image restoration
Artificial Intelligence and Robotics
Graphics and Human Computer Interfaces
Online Access:https://ink.library.smu.edu.sg/sis_research/8446
https://ink.library.smu.edu.sg/context/sis_research/article/9449/viewcontent/Zheng_Curricular_Contrastive_Regularization_for_Physics_Aware_Single_Image_Dehazing_CVPR_2023_paper.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/8446
https://ink.library.smu.edu.sg/context/sis_research/article/9449/viewcontent/Zheng_Curricular_Contrastive_Regularization_for_Physics_Aware_Single_Image_Dehazing_CVPR_2023_paper.pdf

Similar Items