Author:
Qu Linhao,Liu Shaolei,Wang Manning,Song Zhijian
Funder
National Natural Science Foundation of China
Subject
Hardware and Architecture,Information Systems,Signal Processing,Software
Reference63 articles.
1. K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu, Deepfuse: A deep unsupervised approach for exposure fusion with extreme exposure image pairs, in: Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017, pp. 4714–4722.
2. Benchmarking and comparing multi-exposure image fusion algorithms;Zhang;Inf. Fusion,2021
3. Deep coupled feedback network for joint exposure fusion and image super-resolution;Deng;IEEE Trans. Image Process.,2021
4. Deep convolutional neural network for multi-modal image restoration and fusion;Deng;IEEE Trans. Pattern Anal. Mach. Intell.,2021
5. End-to-end exposure fusion using convolutional neural network;Wang;IEICE Trans. Inf. Syst.,2018
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献