DiffLIE: Low-Light Image Enhancment based on Deep Diffusion Model-Reference-Cited by-同舟云学术

DiffLIE: Low-Light Image Enhancment based on Deep Diffusion Model

Published:2023-07-07 Issue: Volume: Page:
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Container-title:2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)
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Author:

Wu Guanyu¹,Jin Cheng.¹

Affiliation:

1. Xi'an Jiaotong-liverpool University,Department of Electrical and Electronic Engineering,Suzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10211117/10212989/10213153.pdf?arnumber=10213153

Reference28 articles.

1. Learning to Decompose and Restore Low-light Images with Wavelet Transform;z;ACM Multimedia Asia,2021

2. Self-supervised learning exposure correction via histogram equalization prior

3. Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations;tschernezki;2022 International Conference on 3D Vision (3DV),2022

4. Structure revealing of low-light images using wavelet transform based on fractional-order denoising and multiscale decomposition;rahman;The Visual Computer,2020

5. Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior;zhang;ArXiv,2021

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