A Deep Retinex Framework for Light Field Restoration under Low-light Conditions
Author:
Affiliation:
1. The University of Hong Kong,Department of Electrical and Electronic Engineering,Pokfulam,China
Funder
University of Hong Kong
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956107.pdf?arnumber=9956107
Reference35 articles.
1. Image Quality Assessment: From Error Visibility to Structural Similarity
2. Squeeze-and-Excitation Networks
3. The Retinex Theory of Color Vision
4. An effective decomposition-enhancement method to restore light field images captured in the dark
5. Stanford lytro light field archive;shah,2016
Cited by 3 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
1. Light Field Image Restoration via Latent Diffusion and Multi-View Attention;IEEE Signal Processing Letters;2024
2. LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images;IEEE Transactions on Image Processing;2023
3. Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction;IEEE Transactions on Circuits and Systems for Video Technology;2023
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